Courses2024

Free Download Getting Started In Scholarship Physics (Nz) Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 271.78 MB | Duration: 1h 42m NCEA Physics Scholarship. This is a course that will get you to a point where you can answer physics schol questions. What you'll learn Gain self belief that they can attempt the scholarship physics exam Be able to answer scholarship level questions themselves Learn the hidden skills needed for scholarship physics Be able to independently study towards scholarship physics Requirements Be currently completing the NCEA Level 3 Physics course (or equivalent) in NZ Finished L2 NCEA Physics Description This course is aimed at New Zealand Level 3 Physics students, and intends to get them started studying for scholarship physics. It has 10 lessons, and each lesson covers a new idea, provides examples and scaffolding and then sets the students a task to practice themselves. Over the first few lessons, students are scaffolded from answering NCEA level physics questions, all the way to answering scholarship level questions. By the end of the course, students will have all the knowledge to finish preparing for this scholarship exam independently. Whilst this is aimed at students, teachers who are looking for inspiration may want to use the course materials to make their own 1 term unit (10 weekly lessons), to teach their own scholarship students. However, it need not be taught over 1 term; an independent student, might get through all the lessons on their own in a few days. The 10 lessons are:IntroductionScholarship style questionsThe curriculumAnswering your first scholarship questionDimensional AnalysisDealing with new physics conceptsMath skillsCoordinate systems and componentsExplanation QuestionsSummaryThis material is the same material that I have used for the past 10 years with my scholarship students, of which I have taught dozens of students that have been successful. If you find the course helpful on your own journey to scholarship success, then please let me know! (Leave a comment on my kiwiphysics channel on youtube). For those students under the age of 18, a parent or guardian will need to open your account and pay the course fee. Those under 18 may use the services only if a parent or guardian opens their account, handles any enrollments, and manages their account usage. Overview Section 1: Introduction Lecture 1 Lesson 1: Introduction Lecture 2 Hints and answers to Lesson 1 questions Section 2: Scholarship Style Questions Lecture 3 Lesson 2: Scholarship Style Questions Lecture 4 Lesson 3: Curriculum Lecture 5 Lesson 4: Your first scholarship question Section 3: Tips and Tricks for scholarship questions Lecture 6 Lesson 5: Dimensional Analysis Lecture 7 Lesson 6: New Physics Concepts in Questions Lecture 8 Lesson 6: Worked solution for Lesson 6 question Lecture 9 Lesson 7: Algebra and Trig Skills Lecture 10 Lesson 8: Components and coordinate systems Lecture 11 Lesson 9: Explanation skills Section 4: Finale Lecture 12 Lesson 10: Summary Students (or their teachers) wanting to know how to get started in studying for the scholarship physics exam Screenshot Homepage https://www.udemy.com/course/getting-started-in-scholarship-physics-nz/ Rapidgator https://rg.to/file/931b0a4e86f9de7bc123311150878447/bqiml.Getting.Started.In.Scholarship.Physics.Nz.rar.html Fikper Free Download https://fikper.com/HUnIbwu60c/bqiml.Getting.Started.In.Scholarship.Physics.Nz.rar.html No Password - Links are Interchangeable

Free Download Get Unstuck Release Emotions And Unhealthy Belief Patterns Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.03 GB | Duration: 1h 10m Techniques to develop healthy belief systems and behavior patterns What you'll learn What beliefs systems are & how they affect emotions & behavior How to ground yourself in the present moment and why this is important How to work with your emotions to assist in releasing unhealthy belief patterns & increase your energetic frequency Meditation techniques to teach you how to experience emotions in your body in a healthy way Guidance through the techniques to awaken your neural pathways& activate dormant DNA codes within you Requirements Willingness to create new, healthy belief systems and behavior patterns. Description This course combines my training in Eye Movement Desensitization Reprocessing (EMDR), energy frequency work, meditation techniques, and art journaling to release stuck emotions, old belief patterns and behaviors that no longer serve your Divine Purpose. My intention is for you to experience profound healing and activate your Light Codes within. You will gain new insights and experience shifts in your behavior patterns. You will fully awaken to your Divine Self and align to your Divine Purpose. Prior experience with EMDR is helpful but not required. If you have unresolved trauma, it is recommended to work with a licensed mental health therapist.For this course you will need an art journal and crayons. Essential Oils are used but this is optional.In this course you will learn:what beliefs systems are and how they affect emotions and behaviormeditation techniques to teach you how to experience emotions in your body in a healthy way (get in touch with your "felt sense")how to ground yourself in the present moment and why this is importanthow to work with your emotions to assists you in releasing unhealthy belief patterns and increase your energetic frequencyguide your through the techniques that will awaken your neural pathways and activate dormant DNA codes within you*E-Book Included Overview Section 1: Module 1: Welcome Lecture 1 Brief Overview of Course Section 2: Module 2: Foundational Guidance Lecture 2 Emotions Explained Lecture 3 How Beliefs Are Formed Lecture 4 Bi-lateral Stimulation Explained Lecture 5 3 Types of Bilateral Stimulation Lecture 6 Using Essential Oils To Release Emotions Section 3: Module 3: Connecting To Your Body Lecture 7 Importance Of Staying In The Window Of Tolerance Lecture 8 Grounding Lecture 9 Felt Sense: What It Is and How To Experience It Section 4: Module 4: Technique Demo Lecture 10 Technique Preparation Lecture 11 Technique Demonstration Anyone seeking to develop healthier belief systems and behaviors. Screenshot Homepage https://www.udemy.com/course/get-unstuck-release-emotions-and-unhealthy-belief-patterns/ Rapidgator https://rg.to/file/75406759857cb8fbab458806dcd5525a/pisqv.Get.Unstuck.Release.Emotions.And.Unhealthy.Belief.Patterns.part1.rar.html https://rg.to/file/94d31ee4eb836f4052704be4546bdfd6/pisqv.Get.Unstuck.Release.Emotions.And.Unhealthy.Belief.Patterns.part3.rar.html https://rg.to/file/b98e73c8f895ff6d8552c9582f9436f9/pisqv.Get.Unstuck.Release.Emotions.And.Unhealthy.Belief.Patterns.part2.rar.html Fikper Free Download https://fikper.com/AlSx9fIsrW/pisqv.Get.Unstuck.Release.Emotions.And.Unhealthy.Belief.Patterns.part2.rar.html https://fikper.com/D2O2EN19Q2/pisqv.Get.Unstuck.Release.Emotions.And.Unhealthy.Belief.Patterns.part1.rar.html https://fikper.com/WQSFzRWeOQ/pisqv.Get.Unstuck.Release.Emotions.And.Unhealthy.Belief.Patterns.part3.rar.html No Password - Links are Interchangeable

Free Download Get Funded with Prop Firms - Master Futures Trading Using SMC Published 10/2024 Created by Mouna Bouhlal MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 43 Lectures ( 3h 40m ) | Size: 3 GB Get Funded with Prop Firms: Master Smart Money Concepts for Futures Trading What you'll learn How to get funded by futures prop firms: Learn the steps and strategies required to pass the evaluation process and secure a funded account with a prop firm. Neutral prop firm comparison: Get an unbiased comparison of top futures prop firms to find the best fit for you. How to pass prop firm evaluations: Get a clear guide to meeting prop firm requirements and performing consistently. My personal experience with prop firm funding: See my own funded account journey with real proof of trades and success. Master Smart Money Concepts: Understand institutional trading techniques and apply them to futures and forex. Advanced risk management: Discover effective methods to control risk and protect your capital. Real-world strategy application: Learn to use Smart Money strategies in live markets with real examples. Requirements Only a desire to learn: All you need is the motivation to master a new strategy and get funded by prop firms. Description Are you ready to get funded by a futures prop firm and start trading confidently with professional capital? Based on my experience with futures prop firms, this course will guide you step by step. You'll learn how prop firms work, what's needed to get funded, and how to apply my Smart Money Strategy for success.In this course, you'll master the Smart Money Strategy from the ground up, focusing on key concepts like liquidity grabs, order blocks, and market imbalances. I'll show you how to use these strategies to spot high-probability trades and take advantage of institutional market moves. Plus, you'll see how to apply these insights through real-world examples and a detailed case study where I passed a futures prop firm challenge.By the end, you'll have the tools and confidence to pass evaluations and manage funded accounts effectively with futures prop firms.What You'll Learn:How Futures Prop Firms Work and How to Get Funded: Understand the structure of Futures prop firms, their evaluation processes, and what it takes to secure a funded trading account.Comparison of the Most Popular Futures Prop Firms: Get a neutral, unbiased comparison of the most popular futures prop firms, with no promotion or publicity for any particular firm, to help you choose the right one for your trading style.The Smart Money Concept Strategy: Master the key principles of Smart Money trading, including liquidity, order blocks, and market structure shifts.How to Pass Prop Firm Challenges: Get step-by-step guidance on how to pass the evaluation stages of major prop firms and secure funded accounts.Case Study of a Successful Prop Firm Challenge: Follow my detailed case study where I passed a prop firm challenge, breaking down each trade for a clear understanding (ith proof).Futures Trading Mastery: Learn how to apply advanced trading strategies to the futures market, while also gaining knowledge applicable to forex trading.Risk Management Techniques: Discover how to manage risk like a professional, protect your capital, and maintain steady growth over time.Trading Psychology: Develop a strong trading mindset, handle emotions under pressure, and maintain discipline during both wins and losses.Practical Strategies for Consistent Profits: Learn how to spot high-probability trades, enter and exit the market at the right times, and maximize your profits using real-world examples. Who this course is for Aspiring traders who want to get funded by prop firms and trade professionally. Futures and forex traders looking to enhance their skills with Smart Money Concepts. Traders eager to learn institutional trading strategies from scratch. Experienced traders who want to refine their strategies and pass prop firm evaluations. Homepage https://www.udemy.com/course/get-funded-with-prop-firms-master-futures-trading-using-smc/ Rapidgator https://rg.to/file/a7caca2627d977abc0a9ac8048b9fd68/xprrg.Get.Funded.with.Prop.Firms.Master.Futures.Trading.Using.SMC.part4.rar.html https://rg.to/file/c81a52bf55917f8eb5dfe0aae55ba7a7/xprrg.Get.Funded.with.Prop.Firms.Master.Futures.Trading.Using.SMC.part2.rar.html https://rg.to/file/ceefaf9ea925702d0a73c5e1e2960e12/xprrg.Get.Funded.with.Prop.Firms.Master.Futures.Trading.Using.SMC.part3.rar.html https://rg.to/file/f134be27b9759ed58d814843137b60f4/xprrg.Get.Funded.with.Prop.Firms.Master.Futures.Trading.Using.SMC.part1.rar.html Fikper Free Download https://fikper.com/3s81bJBdJP/xprrg.Get.Funded.with.Prop.Firms.Master.Futures.Trading.Using.SMC.part1.rar.html https://fikper.com/B5toSSN84f/xprrg.Get.Funded.with.Prop.Firms.Master.Futures.Trading.Using.SMC.part3.rar.html https://fikper.com/T0M6YvFzI8/xprrg.Get.Funded.with.Prop.Firms.Master.Futures.Trading.Using.SMC.part2.rar.html https://fikper.com/wtR5kMjqV8/xprrg.Get.Funded.with.Prop.Firms.Master.Futures.Trading.Using.SMC.part4.rar.html No Password - Links are Interchangeable

Free Download GeoServer - Master Spatial Data & Open Source GIS Tools Published 10/2024 Created by HA. E-Learning Academy MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 25 Lectures ( 4h 27m ) | Size: 1.7 GB Learn to Manage, Style, and Visualize Spatial Data Using GeoServer & Open Source GIS Tools What you'll learn Learn what GeoServer is, what it does, and why you need it Install a local version of GeoServer on your computer Explore the different data formats supported by GeoServer Load your own data into GeoServer and publish it Learn how to style vector and raster data Integrate GeoServer with other GIS tools, such as QGIS and Leaflet Share geospatial data using standard protocols like WMS, WFS, and WCS Create custom web mapping applications using GeoServer data Requirements The course starts from scratch, you don't need any prior knowledge or coding skills. However, if you know what GIS is, it will be helpful. Description This comprehensive course is designed for students, as well as GIS web developers. You'll learn GeoServer from the ground up, with a strong emphasis on practical knowledge to ensure you can effectively manage, publish, and secure geospatial data.The course covers everything from installation to advanced topics, providing you with the skills needed to tackle real-world projects confidently. Key topics include:GeoServer installation and configurationData management and uploading your own dataStyling and symbology techniquesWMS, WFS, and WCS configurationGeoServer extensions and pluginsIntegrating GeoServer with other GIS toolsWith a focus on hands-on exercises, complete projects, and source code provided where applicable, this course ensures you gain practical experience rather than just theoretical knowledge. Additionally, you will explore case studies that illustrate best practices in the field and learn to troubleshoot common issues effectively.With lifetime access to course materials and personalized support for any inquiries, you'll have all the resources you need to succeed in GIS and spatial data management. By the end of the course, you'll be equipped with the confidence to apply your skills in various professional settings, making you a valuable asset in the ever-evolving field of geospatial technology and data science innovation. Who this course is for Anyone interested in Web GIS and wants to learn GeoServer GIS professionals, GIS web developers, data analysts , students who want to enhance their ability to integrate and access spatial data across different systems and applications Homepage https://www.udemy.com/course/geoserver-master-spatial-data-open-source-gis-tools/ Screenshot Rapidgator https://rg.to/file/b7e3075094952b88b73b4663f9c77971/vylks.GeoServer..Master.Spatial.Data..Open.Source.GIS.Tools.part1.rar.html https://rg.to/file/c19abb8ef189fb8b43e0560471b46972/vylks.GeoServer..Master.Spatial.Data..Open.Source.GIS.Tools.part2.rar.html Fikper Free Download https://fikper.com/vslY1hSOTb/vylks.GeoServer..Master.Spatial.Data..Open.Source.GIS.Tools.part2.rar.html https://fikper.com/z4WlU5MCbk/vylks.GeoServer..Master.Spatial.Data..Open.Source.GIS.Tools.part1.rar.html No Password - Links are Interchangeable

Free Download Generative Ai For Leaders by Peter Alkema Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 5.67 GB | Duration: 5h 26m Master Generative AI:Transmute Businesses with Machine Learning,Strategic AI Integration,Ethical Leadership & Innovation What you'll learn Define generative AI and describe its key characteristics relevant to leadership Explain the history and evolution of AI in business contexts, including major milestones. Differentiate between generative AI and other types of AI technologies using examples Analyze how generative AI is transforming industries and identify the impacts on business operations. Evaluate case studies of organizations that have successfully adopted AI, focusing on strategies and outcomes Understand the basics of machine learning as the foundation for generative AI, including key terminology and concepts. Compare and contrast supervised, unsupervised, and reinforcement learning in the context of generative AI Describe the process of training and optimizing machine learning models for generative AI applications Assess the role of data in building effective generative AI models and identify key considerations for data collection. Apply machine learning concepts to real-life business functions through analysis of examples Develop an AI-driven solution for product design and innovation, considering market needs and technology capabilities Create an AI-powered marketing strategy that enhances customer engagement and personalizes experiences Formulate an approach to applying generative AI in supply chain optimization to improve efficiency and reduce costs ropose AI-driven solutions for finance and risk management, focusing on predictive analytics and decision-making. Critically assess case studies of businesses leveraging generative AI for growth, focusing on strategies and outcomes. Design a plan to build a culture that embraces AI and digital transformation within an organization Develop training programs that encourage innovation and AI literacy among employees. Align AI initiatives with long-term business goals, identifying strategic value and prioritizing projects Formulate techniques for measuring the ROI of AI-based solutions within organizational contexts Propose a leadership strategy for navigating AI-driven organizational change, focusing on adaptability and continuous learning. Requirements There are no requirements or pre-requisites for this course, but the items listed below are a guide to useful background knowledge which will increase the value and benefits of this course. Basic understanding of business operations and challenges in the digital era. Familiarity with the concept of Artificial Intelligence and its applications in various fields. Interest in leadership strategies and innovation management. Description Welcome to our comprehensive course on Generative Artificial Intelligence (AI) for Leadership and Business Transformation! Are you ready to unlock the potential of AI to drive innovation, enhance decision-making, and revolutionize your organization's operations? With the rapid advancements in AI technology, the ability to harness generative AI has become a key differentiator for businesses looking to stay ahead in today's digital economy.Our team of AI experts has carefully designed this course to equip you with the essential knowledge and skills needed to lead AI-driven initiatives within your organization successfully. As AI continues to reshape industries, business leaders must adapt to leverage its transformative power fully. No matter your level of familiarity with AI, whether you are a seasoned executive or a budding entrepreneur, this course will provide you with the insights and tools you need to navigate the complex world of generative AI with confidence.Throughout this course, you will delve into the fundamentals of machine learning, exploring the core concepts of supervised, unsupervised, and reinforcement learning. You will learn how to build and optimize machine learning models for generative AI, understand the crucial role of data in AI development, and explore real-life examples of machine learning applications across various business functions.As you progress, you will discover the real-world applications of generative AI in business, from product design and marketing to supply chain optimization and finance. Through case studies and practical examples, you will see how organizations have successfully integrated generative AI to drive growth, improve customer experiences, and streamline operations.Additionally, you will gain insights into strategic integration and cultural transformation, learning how to align AI initiatives with organizational goals and foster a culture that embraces innovation and AI literacy. We will explore leadership mindsets for AI-driven innovation, techniques for managing cross-functional AI teams, and ethical considerations surrounding AI deployment in business contexts.Furthermore, you will uncover the future trends in generative AI for leadership and innovation, preparing you to anti[beeep]te and capitalize on the next wave of AI advancements. Our course will empower you to build AI readiness across your organization, scale AI initiatives effectively, and collaborate with AI vendors and partners for success.Ultimately, this course is not just about acquiring knowledge - it's about equipping you with the strategic insights, practical skills, and leadership mindset needed to navigate the evolving landscape of AI and drive sustainable growth in your organization. Join us on this transformative journey, and position yourself as a proactive leader ready to harness the power of generative AI for future success. Let's embark on this exciting AI expedition together! Overview Section 1: Introduction to Generative AI for Business Leaders Lecture 1 Defining generative AI and its key characteristics relevant to leadership Lecture 2 Download The *Amazing* +100 Page Workbook For this Course Lecture 3 Introduce Yourself To Your Fellow Students And Tell Us What You Want To Learn Lecture 4 Exploring the history and evolution of AI in business contexts Lecture 5 The difference between generative AI and other types of AI technologies Lecture 6 How generative AI is transforming industries and business operations Lecture 7 Case studies of organizations that have successfully adopted AI Lecture 8 Let's Celebrate Your Progress In This Course: 25% > 50% > 75% > 100%!! Section 2: Fundamentals of Machine Learning for Generative AI Lecture 9 Introduction to machine learning: the foundation of generative AI Lecture 10 Understanding supervised, unsupervised, and reinforcement learning Lecture 11 How machine learning models are trained and optimized for generative AI Lecture 12 The role of data in building effective generative AI models Lecture 13 Real-life examples of machine learning applications in business functions Section 3: Real-World Applications of Generative AI in Business Lecture 14 How AI is being used in product design and innovation Lecture 15 AI-powered marketing strategies and customer engagement tools Lecture 16 Applications of generative AI in supply chain optimization and logistics Lecture 17 Exploring AI-driven solutions for finance and risk management Lecture 18 Case studies of businesses leveraging generative AI to drive growth Section 4: Strategic Integration of AI into Organizational Culture Lecture 19 How to build a culture that embraces AI and digital transformation Lecture 20 Encouraging innovation and AI literacy within teams and departments Lecture 21 The importance of upskilling employees to work alongside AI systems Lecture 22 Leadership strategies for guiding AI adoption across the organization Lecture 23 Real-life examples of successful AI cultural integration in companies Section 5: Aligning AI with Business Strategy and Objectives Lecture 24 Ensuring AI initiatives align with long-term business goals Lecture 25 How to prioritize AI projects that add strategic value to the organization Lecture 26 Techniques for measuring the ROI of AI-based solutions Lecture 27 Developing an AI roadmap that supports business scalability Lecture 28 Case studies on aligning AI technology with business growth strategies Lecture 29 You've Achieved 25% >> Let's Celebrate Your Progress And Keep Going To 50% >> Section 6: Leadership Mindset for AI-Driven Innovation Lecture 30 How leaders can foster an innovation-driven mindset in their organizations Lecture 31 Techniques for leading teams through AI-driven change and transformation Lecture 32 Building confidence in decision-making around emerging technologies Lecture 33 The importance of adaptability and continuous learning for AI leaders Lecture 34 Examples of leaders successfully navigating AI-driven organizational change Section 7: Managing Cross-Functional AI Teams for Success Lecture 35 How to manage diverse teams that include AI experts, developers, and analysts Lecture 36 Creating collaboration between data scientists and business leaders Lecture 37 The importance of clear communication between technical and non-technical teams Lecture 38 Leadership strategies for driving AI projects with cross-functional teams Lecture 39 Real-life examples of managing AI-driven project teams effectively Section 8: Ethical Implications of Generative AI for Leaders Lecture 40 Understanding the ethical considerations of using AI in business Lecture 41 How to navigate issues of bias and fairness in AI algorithms Lecture 42 The importance of transparency and accountability in AI applications Lecture 43 Leadership strategies for ensuring ethical AI deployment across the organization Lecture 44 Case studies of ethical challenges faced by organizations using AI Section 9: Addressing Regulatory and Compliance Issues in AI Lecture 45 Overview of the legal and regulatory landscape around AI technologies Lecture 46 Ensuring AI compliance with data protection and privacy laws Lecture 47 Understanding intellectual property and ownership issues related to AI Lecture 48 How to develop internal governance frameworks for AI use Lecture 49 Examples of businesses navigating regulatory challenges with AI adoption Section 10: Risk Management and AI Deployment in Business Operations Lecture 50 Identifying and assessing risks associated with AI integration Lecture 51 Strategies for mitigating AI-related risks in operational processes Lecture 52 How to create a risk management framework for AI-driven projects Lecture 53 The importance of monitoring and evaluating AI systems over time Lecture 54 Case studies of risk management in AI implementations Lecture 55 You've Achieved 50% >> Let's Celebrate Your Progress And Keep Going To 75% >> Section 11: Test your knowledge now to achieve your goals! Section 12: The Future of Work: AI and Workforce Transformation Lecture 56 Understanding how AI is reshaping the future of work and job roles Lecture 57 How leaders can prepare their workforce for AI-enabled job functions Lecture 58 The role of AI in automating routine tasks and enhancing human creativity Lecture 59 Leadership strategies for reskilling and upskilling employees for AI-driven jobs Lecture 60 Real-life examples of workforce transformation through AI adoption Section 13: Leveraging AI for Enhanced Decision-Making and Insights Lecture 61 How AI can help leaders make more informed and data-driven decisions Lecture 62 Techniques for using AI to uncover insights and trends in business data Lecture 63 The role of predictive analytics in AI-powered decision-making Lecture 64 Case studies on how leaders used AI for strategic decision-making Lecture 65 Real-world examples of AI enhancing leadership decision-making processes Section 14: Creating Value through AI-Driven Customer Experiences Lecture 66 How generative AI can personalize and enhance customer interactions Lecture 67 Techniques for using AI to create seamless and engaging customer journeys Lecture 68 The role of AI in predicting customer behavior and needs Lecture 69 Examples of businesses using AI to deliver superior customer service Lecture 70 Case studies of AI improving customer satisfaction and loyalty Section 15: AI-Powered Innovation and Product Development Lecture 71 How AI is transforming product development and R&D processes Lecture 72 Techniques for using generative AI to design and prototype new products Lecture 73 The importance of AI in accelerating innovation cycles and time-to-market Lecture 74 Examples of businesses using AI for product innovation and differentiation Lecture 75 Real-world case studies on AI-driven product development success stories Section 16: Scaling AI Across Business Units and Operations Lecture 76 Strategies for scaling AI initiatives from pilot projects to full deployment Lecture 77 How to integrate AI into existing business processes and systems Lecture 78 Techniques for ensuring scalability and sustainability of AI solutions Lecture 79 Leadership approaches for managing the challenges of AI scaling Lecture 80 Case studies of organizations successfully scaling AI technologies Lecture 81 You've Achieved 75% >> Let's Celebrate Your Progress And Keep Going To 100% >> Section 17: Collaborating with AI Vendors and Partners for Success Lecture 82 How to select the right AI vendors and technology partners Lecture 83 Techniques for managing AI vendor relationships and contracts Lecture 84 The importance of collaboration between external AI partners and internal teams Lecture 85 Leadership strategies for managing third-party AI implementations Lecture 86 Real-life examples of successful partnerships with AI technology providers Section 18: AI and Competitive Advantage in a Digital Economy Lecture 87 How AI is creating new competitive advantages for businesses Lecture 88 Techniques for using AI to differentiate products and services in the market Lecture 89 The role of AI in gaining insights into competitors and market trends Lecture 90 Case studies of businesses gaining a competitive edge with AI Lecture 91 Examples of AI-enabled businesses thriving in a digital economy Section 19: Continuous Learning and Staying Ahead in AI Leadership Lecture 92 How leaders can stay informed about the latest trends in AI and machine learning Lecture 93 The importance of fostering a culture of continuous learning and innovation Lecture 94 Techniques for encouraging teams to stay updated on emerging AI technologies Lecture 95 Real-life examples of leaders investing in continuous AI education Lecture 96 Strategies for staying ahead of AI trends and maintaining competitive leadership Section 20: Building AI Readiness in Leadership and Organizations Lecture 97 How to assess your organization's readiness for AI integration Lecture 98 Techniques for preparing teams and infrastructure for AI adoption Lecture 99 The importance of aligning leadership strategies with AI readiness goals Lecture 100 How to create an AI-ready culture focused on innovation and agility Lecture 101 Case studies on building AI readiness across various industries Section 21: Future Trends in Generative AI for Leadership and Innovation Lecture 102 Exploring the future of AI technologies and their potential impact on business Lecture 103 How leaders can anti[beeep]te and prepare for the next wave of AI advancements Lecture 104 The role of AI in driving sustainability, diversity, and inclusivity in leadersh Lecture 105 Case studies on forward-thinking organizations preparing for AI's future Lecture 106 Conclusion: The evolving role of AI in leadership and organizational success Lecture 107 You've Achieved 100% >> Let's Celebrate! Remember To Share Your Certificate!! Section 22: Test your knowledge now to achieve your goals! Section 23: Your Assignment: Write down goals to improve your life and achieve your goals!! Business leaders and C-suite executives seeking to understand and leverage AI technology for strategic advantage.,Innovation managers and team leaders looking to drive AI-based transformation and foster an innovation-driven culture.,IT professionals and data scientists aiming to deepen their knowledge of generative AI applications in business contexts.,Marketing professionals interested in utilizing generative AI for data-driven strategies and customer engagement,HR and talent development leaders focusing on reskilling and upskilling their workforce for AI-enabled job functions,Supply chain and operations managers exploring AI solutions for optimization, efficiency, and risk management Screenshot Homepage https://www.udemy.com/course/generative-ai-for-leaders-t/ Rapidgator https://rg.to/file/42cf15e9a9e577c02a725ed42d97e933/qgnan.Generative.Ai.For.Leaders.by.Peter.Alkema.part3.rar.html https://rg.to/file/590d6dffed15f97e175da693ba103225/qgnan.Generative.Ai.For.Leaders.by.Peter.Alkema.part6.rar.html https://rg.to/file/99ab4cb7c00f7dab923dd085f3723668/qgnan.Generative.Ai.For.Leaders.by.Peter.Alkema.part4.rar.html https://rg.to/file/9e999300d318f145731e59e9d19edc3c/qgnan.Generative.Ai.For.Leaders.by.Peter.Alkema.part1.rar.html https://rg.to/file/a639dd1c8f2bac2e66061364d555782b/qgnan.Generative.Ai.For.Leaders.by.Peter.Alkema.part2.rar.html https://rg.to/file/c09e1f6af1daad389d6e674eb54cdd3b/qgnan.Generative.Ai.For.Leaders.by.Peter.Alkema.part5.rar.html Fikper Free Download https://fikper.com/0ElXrm7f9o/qgnan.Generative.Ai.For.Leaders.by.Peter.Alkema.part2.rar.html https://fikper.com/9W59tHQxXz/qgnan.Generative.Ai.For.Leaders.by.Peter.Alkema.part6.rar.html https://fikper.com/DZumFutPmx/qgnan.Generative.Ai.For.Leaders.by.Peter.Alkema.part5.rar.html https://fikper.com/fvRCFyuKgZ/qgnan.Generative.Ai.For.Leaders.by.Peter.Alkema.part4.rar.html https://fikper.com/oWnfO5uQbB/qgnan.Generative.Ai.For.Leaders.by.Peter.Alkema.part3.rar.html https://fikper.com/ueT7MMndb8/qgnan.Generative.Ai.For.Leaders.by.Peter.Alkema.part1.rar.html No Password - Links are Interchangeable

Free Download Generative Ai Achieving Success With Ai For Business Leaders Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.50 GB | Duration: 3h 0m Leadership in the Digital Age and Leadership Skills: Influence with Generative AI for Business Leaders: Generative AI What you'll learn Understand how AI can enhance your leadership and decision-making processes Develop efficient workflows to improve team productivity and achieve better results Create structured onboarding plans that accelerate employee success and performance Manage large projects seamlessly with a clear, actionable plan Set and achieve SMART goals that align with your strategic vision Lead your team with a modern approach, leveraging AI to stay ah Execute projects with confidence and clarity, using step-by-step frameworks Create a culture of efficiency, where both you and your team are empowered to work smarter, not harder Achieve measurable improvements in productivity, performance, and overall business success Streamline Employee Onboarding: Develop effective 30-60-90 day onboarding plans to ensure new hires thrive from day one. Manage Large-Scale Projects: Learn to oversee complex projects with AI support, keeping everything on track and under budget Requirements No prior experience in AI is needed to enroll in this course Willingness to Learn: An open mind to explore new strategies and apply AI-driven solutions to real-world leadership challenges Interest in AI Tools: A curiosity about how AI can enhance productivity and decision-making in leadership. Description Leadership in the Digital Age: Achieving Success with Generative AI for Business LeadersDid you know that 72% of companies using AI have reported a significant boost in productivity, while only 55% of businesses not leveraging AI have seen similar success? Imagine if you could streamline your decision-making, supercharge your team's output, and transform the way you lead-all with AI at your side.Welcome to "Leadership in the Digital Age: Achieving Success with Generative AI for Business Leaders." This game-changing course reveals how AI tools, like ChatGPT, can elevate your leadership skills, making strategic planning, task prioritization, and team management more effective and efficient than ever.Have you ever wondered:How AI could enhance your strategic thinking, enabling you to make smarter, faster decisions?What would it be like to automate daily tasks while focusing on what truly matters for your team?How you can implement a 30-60-90 day onboarding plan for new hires using AI, ensuring rapid team success?Here's what you'll find in this course:AI-Assisted Leadership: Discover the future of leadership by learning how to incorporate AI into your decision-making process.Workflow and Task Optimization: Use AI to automate daily schedules and tasks, freeing up more time for strategic initiatives.Mastering Employee Onboarding: Develop powerful onboarding plans to ensure every new hire hits the ground running.Project Management Excellence: Learn how AI can help you manage large-scale projects with ease, from timelines to team collaboration.By completing this course, you will:Lead your team with a modern approach, leveraging AI to stay ahead.Execute projects with confidence and clarity, using step-by-step frameworks.Create a culture of efficiency, where both you and your team are empowered to work smarter, not harder.Achieve measurable improvements in productivity, performance, and overall business success.Step into the future of leadership-where AI helps you lead smarter, not harder. Are you ready to elevate your leadership with AI? Let's get started! Overview Section 1: Leadership in the Digital Age & Introduction Lecture 1 Introduction to AI-assisted Leadership Lecture 2 Outdated vs. Optimized: Manual vs. AI-Assisted Leadership Planning Lecture 3 Leadership Overview: Characteristics of a Leader Lecture 4 TEST YOURSELF: Leadership Trait Assessment Test (Rating Exercises) Section 2: The AI Advantage: Foundations of AI in Business: What is AI? Lecture 5 What is AI? Understanding AI: Past, Present, and Future Lecture 6 AI in Leadership: Transforming Your Business: A Game-Changer for Business Lecture 7 What is ChatGPT? Overview of the ChatGPT Section 3: Workflow and Task Optimization with AI Lecture 8 Using ChatGPT for Daily Scheduling and Task Prioritization: (ChatGPT) Lecture 9 Boost Productivity: Practical Template Examples Section 4: The Art of Employee Onboarding with AI: From Prof to Newcomer Lecture 10 For Short Term Schedules: For A Project Manager Onboarding Plans Using ChatGPT Lecture 11 For Short Term Schedules: For A Cost Control Engineer On Boarding Plan (ChatGPT) Lecture 12 For Short Term On Boarding Schedule: PROMPT EXAMPLES Section 5: Project Management Excellence with AI Lecture 13 Mastering Big Event Planning: Long-Term Schedules: Big Events, Big Plans Lecture 14 CASE STUDY EXAMPLE 1: Big Event Planning: Long-Term Schedules Lecture 15 CASE STUDY EXAMPLE 2: Long Term Schedule: Organizing a Company-Wide Conference Lecture 16 Strategic Planning Prompts: Navigating Common Workplace Scheduling Challenges Section 6: Setting and Achieving SMART Goals with AI (ChatGPT) Lecture 17 Achieving Goal Setting: Exploring SMART Criteria Supported by ChatGPT Lecture 18 Leveraging ChatGPT to Set SMART Goals: A Business Leader's Toolkit Section 7: AI-Driven Team Leadership and Development Lecture 19 How AI Can Support Team Development, Talent Acquisition, Performance Monitoring Lecture 20 Practical Applications: Using AI in Assessing Team Dynamics & Collaboration Lecture 21 Exercises Using AI Tools to Develop Individualized Employee Growth Plans Section 8: Leadership Focus Supported by AI: Some Useful AI Tools Lecture 22 Leadership Focus - Using AI to Elevate Leadership Performance Lecture 23 AI for Business: Boosting Productivity with Top Tools Lecture 24 Case Studies: Optimizing Business Productivity with AI Tools Section 9: Practical Application: Real World Examples Lecture 25 Case Studies to Enhance Understanding: Real-World Applications of AI in Business Lecture 26 Practical Example: AI-Driven Team Performance Improvement Plan Section 10: Becoming a Leader for Tomorrow: Your AI-Driven Journey Be Lecture 27 Stepping Into Tomorrow: Leading with AI and Confidence Anyone who is curious about Generative Artificial Intelligence (Gen AI) and want to explore it for free.,Team managers and leaders in medium to large organizations,Anyone who is passionate about mastering GenAI and lead in the future shaped by AI,Business leaders looking to integrate AI into their strategy.,Professionals eager to leverage Generative AI in their workplace,Visionaries looking to stay ahead in the rapidly evolving business landscape,Basic Understanding of Leadership: Ideal for anyone in a leadership or management role, but no advanced knowledge required. https://www.udemy.com/course/generative-aiachieving-success-with-ai-for-business-leaders/ Rapidgator https://rg.to/file/57b89e708a9c03233a62610d8adcf2db/sotqv.Generative.AiAchieving.Success.With.Ai.For.Business.Leaders.part1.rar.html https://rg.to/file/8b58860d7739dbfeb24220db58698724/sotqv.Generative.AiAchieving.Success.With.Ai.For.Business.Leaders.part2.rar.html Fikper Free Download https://fikper.com/GTsJ9h0xfi/sotqv.Generative.AiAchieving.Success.With.Ai.For.Business.Leaders.part2.rar.html https://fikper.com/pLyFNiLpEB/sotqv.Generative.AiAchieving.Success.With.Ai.For.Business.Leaders.part1.rar.html No Password - Links are Interchangeable

Free Download Generative AI for QA Professionals and Software Testers Published 10/2024 Created by Raghu The Security Expert MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 19 Lectures ( 2h 8m ) | Size: 888 MB Generate Manual Test Cases and Selenium Scripts in automated manner using Generative AI on local system What you'll learn: Understand AI and ML Fundamentals Utilize Generative Models for QA (Manual and Automated) tasks Learn Prompt Engineering for QA Professionals with real life examples Create Spring Boot Rest API Application to generate selenium script and tests cases using Gen AI on local system Learn to use Open source AI models Requirements: Basic Understanding of QA tasks Fundamental Knowledge of Java Description: Unlock the potential of AI in QA with our comprehensive course, "GenAI for QA and Software Testers." This program bridges the gap between AI theory and practical applications, equipping you with the skills to leverage Generative AI for automating and enhancing QA workflows.Course Highlights:Foundations of AI, ML, and Generative AI:Begin with a solid understanding of artificial intelligence, machine learning, and their types. Explore how models are developed and deployed, and learn the fundamentals of Generative AI, setting the stage for its application in QA.Exploring Popular AI Models:Dive into the mechanics of widely used AI systems like ChatGPT, LLaMA, and others. Understand their architecture, capabilities, and how they can be leveraged for automating test case creation and other QA tasks.Building a Spring Boot REST API Application:Develop a practical Spring Boot REST API app that integrates open-source GenAI models using the Ollama platform. This application will automate QA tasks such as manual test case creation and Selenium script generation.Integrating with Jira for Real-World Automation:Learn how to make API calls to Jira to fetch acceptance criteria from sample user stories. See how these criteria are fed into GenAI models to automate manual testing and create Selenium scripts for test automation.Hands-On Implementation of GenAI for QA:Implement GenAI solutions in real-world scenarios by building and testing an AI-integrated application. Develop expertise in using AI to generate accurate and efficient test cases, reducing manual effort and enhancing testing precision.Automating Test Case and Script Creation:Automate the generation of manual test cases and Selenium scripts using AI models, streamlining the testing process and ensuring faster delivery cycles.Who Should Enroll:This course is tailored for QA engineers, software testers, and IT professionals looking to integrate Generative AI into their testing workflows. Whether you're new to AI or seeking to expand your knowledge, this course provides the practical skills needed to automate QA tasks and boost efficiency in software testing.Join us to explore how Generative AI can transform your QA operations, enabling you to automate test creation and gain a competitive edge with cutting-edge AI-driven solutions! Who this course is for: QA Engineers Software Testing Engineers/Professionals Quality Analysts Automation Engineers QA Managers IT Engineers Homepage https://www.udemy.com/course/generative-ai-for-qa-professionals-and-software-testers/ Rapidgator https://rg.to/file/7394f519281fe0911e5b9f2dde923da0/dzvck.Generative.AI.for.QA.Professionals.and.Software.Testers.rar.html Fikper Free Download https://fikper.com/KtpaZOKgjN/dzvck.Generative.AI.for.QA.Professionals.and.Software.Testers.rar.html No Password - Links are Interchangeable

Free Download Generative AI for All Practical Prompt Engineering Course Published 10/2024 Created by Ujjwal Singh MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 9 Lectures ( 46m ) | Size: 269 MB Learn Generative AI: Prompt engineering skills to boost your creativity and productivity. What you'll learn Understand the fundamentals of Generative AI Master effective Prompt Engineering techniques Apply Generative AI in real-world scenarios Evaluate and Troubleshoot Prompts for optimal results Requirements No prior knowledge of generative AI or prompt engineering is required. Basic computer proficiency is recommended for navigating online resources. Description Welcome to "Generative AI for All: Practical Prompt Engineering Course"! This course is your gateway to understanding and utilizing generative AI, no matter your background. If you've ever been curious about how AI can create text, images, and more, you're in the right place! We'll break down the essentials and give you the tools to get started. Throughout this course, you'll explore what generative AI is all about, including how popular models like GPT and DALL·E work. But we won't just stop at theory-we'll dive into the exciting world of prompt engineering. You'll learn how to craft clear and effective prompts that help you get the most out of AI tools, making your interactions with them more fruitful and enjoyable. To make things even more practical, you'll engage in hands-on activities that let you apply your skills in real-world scenarios. Whether you want to create engaging content, generate stunning images, or get help with coding, you'll find valuable insights and techniques that you can use right away. Plus, we'll show you how to troubleshoot and refine your prompts for even better results. By the end of the course, you'll have a solid grasp of generative AI and the confidence to use prompt engineering effectively. So, if you're ready to explore the possibilities of AI and unleash your creativity, let's get started on this exciting journey together! Who this course is for This course is tailored for anyone interested in utilizing AI tools like ChatGPT to create outstanding content, no matter their background or skill level. Homepage https://www.udemy.com/course/generative-ai-and-prompt-engineering-with-chatgpt-and-more/ Screenshot Rapidgator https://rg.to/file/60f9f38063e84e954192ba6053ec8f0c/hrubf.Generative.AI.for.All.Practical.Prompt.Engineering.Course.rar.html Fikper Free Download https://fikper.com/a0bqOoksrv/hrubf.Generative.AI.for.All.Practical.Prompt.Engineering.Course.rar.html No Password - Links are Interchangeable

Free Download Generative AI In E-Commerce by Peter Alkema Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 5.32 GB | Duration: 5h 18m Master Generative AI in E-commerce: Boost Sales, Personalized Marketing, Product Recommendations, Chatbots & Visual What you'll learn Explain the role of generative AI in transforming e-commerce marketing strategies. Identify and describe the benefits of integrating AI into e-commerce strategies for enhancing the customer journey. Analyze examples of AI transforming the e-commerce landscape to identify key success factors. Apply AI-driven personalization techniques to improve online retail customer experiences. Evaluate current trends in AI for e-commerce applications to determine their potential impact on business growth. Design personalized user experiences for an e-commerce website using generative AI technologies. Develop a personalized marketing plan for an e-commerce business by leveraging generative AI enhancements. Create AI-driven product recommendation engines that analyze customer data to suggest relevant products. Assess the effectiveness of AI product recommendation campaigns in increasing conversion rates. Generate compelling product descriptions using generative AI that improve SEO and customer engagement. Utilize generative AI to develop targeted e-commerce marketing campaigns designed to increase traffic and conversions. Implement real-time personalization on an e-commerce site to enhance user experience based on dynamic content adjustments. Collect and organize customer data for AI analysis to drive personalization strategies while balancing data privacy. Design and deploy AI chatbots for improving e-commerce customer service and engagement. Analyze case studies on generative AI in e-commerce to understand its impact on retention rates and cross-selling strategies. Enhance email marketing campaigns and retargeting strategies using AI for improved personalization and customer engagement. Apply generative AI techniques for customer journey mapping to provide enhanced insights and customer experiences. Generate and enhance visual content for e-commerce product pages using AI tools. Create personalized promotions and offers for different customer segments using AI-based analysis. Explore the integration of AR and VR technologies with AI to personalize and enhance the e-commerce shopping experience. Requirements There are no requirements or pre-requisites for this course, but the items listed below are a guide to useful background knowledge which will increase the value and benefits of this course. Basic understanding of e-commerce principles and online retail operations. Familiarity with the concept of artificial intelligence and its applications in business. Interest in learning how technology can enhance customer experience and business performance in the online retail space. Description Welcome to our comprehensive course on Generative AI in E-commerce! Are you intrigued by the idea of using cutting-edge artificial intelligence technology to revolutionize the way businesses engage with customers online? If so, you're in the right place. In today's rapidly evolving digital landscape, AI-powered personalization is no longer just a competitive advantage - it's a necessity for e-commerce success.Our team of experienced experts has designed this course to provide you with a deep understanding of how Generative AI is reshaping the e-commerce marketplace. With a wealth of real-world examples, case studies, and practical tips, we will guide you through the intricacies of using AI to enhance customer experiences, drive sales, and stay ahead of the curve in a dynamic industry.Throughout this course, you will embark on a transformative journey into the realm of AI-driven personalization, paving the way for you to unlock the full potential of your e-commerce strategies. From leveraging AI for tailored product recommendations and automated content creation to harnessing the power of real-time personalization and chatbot interactions, you will gain invaluable insights into the myriad ways in which AI can elevate your brand's online presence.Imagine being able to craft personalized marketing campaigns that resonate with individual customers on a profound level, leading to increased engagement, retention, and ultimately, revenue. By delving into the nuances of customer journey mapping, product discovery optimization, and ethical AI considerations, you will emerge from this course equipped with the knowledge and skills to navigate the complex landscape of AI in e-commerce with confidence and integrity.But the adventure doesn't stop there. We empower you to explore the intersection of AI with emerging technologies such as augmented reality and virtual reality, offering you a glimpse into the future of immersive shopping experiences. Through hands-on projects and practical exercises, you will witness firsthand the transformative impact of AI on visual content creation, customer reviews analysis, and personalized promotions - all geared towards enhancing the overall customer journey and driving business growth.At the heart of our course lies a commitment to equipping you with the tools, strategies, and insights needed to thrive in the rapidly evolving e-commerce ecosystem. Whether you're a seasoned professional looking to stay ahead of the curve or a newcomer eager to delve into the world of AI, this course offers a unique blend of theory and practical applications, ensuring that you emerge not just as a learner, but as a leader in the realm of AI-powered e-commerce.Join us on this exhilarating journey towards reimagining the future of online retail through the lens of Generative AI. Enroll today and let's embark on a transformational learning experience together. The future of e-commerce awaits - are you ready to seize it? Overview Section 1: Introduction to Generative AI in E-commerce Lecture 1 Understanding Generative AI and Its Role in E-commerce Marketing Lecture 2 Download The *Amazing* +100 Page Workbook For this Course Lecture 3 Introduce Yourself To Your Fellow Students And Tell Us What You Want To Learn Lecture 4 Benefits of Integrating AI into E-commerce Strategies and Customer Journey Lecture 5 Examples of How AI is Transforming the E-commerce Landscape Lecture 6 The Basics of AI-Driven Personalization in Online Retail Lecture 7 Overview of Current Trends in AI for E-commerce Applications Lecture 8 Let's Celebrate Your Progress In This Course: 25% > 50% > 75% > 100%!! Section 2: Personalizing User Experience with Generative AI Lecture 9 The Importance of Personalized Experiences in E-commerce Success Lecture 10 How Generative AI Enhances Individual Customer Journeys Online Lecture 11 Examples of Personalized Website Interactions Using AI Technologies Lecture 12 Case Study: Improved Customer Engagement Through Personalization Lecture 13 Tips for Getting Started with Personalized Marketing in E-commerce Section 3: Using AI for Product Recommendations Lecture 14 Introduction to AI-Driven Product Recommendation Engines Lecture 15 How Generative AI Analyzes Data to Suggest Relevant Products Lecture 16 Examples of Successful AI Product Recommendation Campaigns Lecture 17 Case Study: Increased Conversion Rates with Personalized Recommendations Lecture 18 Tips for Customizing Product Suggestions for Better Customer Engagement Section 4: Automating Product Descriptions with Generative AI Lecture 19 How Generative AI Can Create Compelling Product Descriptions at Scale Lecture 20 Examples of AI-Generated Product Descriptions in E-commerce Lecture 21 Case Study: Improved SEO and Engagement with Automated Descriptions Lecture 22 Tips for Maintaining Brand Consistency in AI-Generated Content Lecture 23 Balancing Automation and Quality Control for Product Description Creation Section 5: Enhancing E-commerce Marketing Campaigns with AI Lecture 24 Using Generative AI to Develop Targeted E-commerce Marketing Campaigns Lecture 25 Examples of AI-Driven Campaigns to Increase Traffic and Conversions Lecture 26 Case Study: Leveraging AI to Create Personalized Email Campaigns Lecture 27 How AI Can Improve Social Media Advertising for E-commerce Brands Lecture 28 Tips for Integrating AI into Existing Marketing Workflows Lecture 29 You've Achieved 25% >> Let's Celebrate Your Progress And Keep Going To 50% >> Section 6: Real-Time Personalization for E-commerce Websites Lecture 30 Understanding Real-Time Personalization and Its Impact on User Experience Lecture 31 How AI Helps Deliver Real-Time Personalization on E-commerce Sites Lecture 32 Examples of Dynamic Content Adjustments Based on User Behavior Lecture 33 Case Study: Enhancing Real-Time Customer Engagement Using AI Lecture 34 Tips for Implementing Real-Time Personalization for Seamless Experiences Section 7: Leveraging Customer Data for AI Personalization Lecture 35 The Role of Customer Data in Developing AI Personalization Strategies Lecture 36 How to Collect and Organize Customer Data for AI Analysis Lecture 37 Examples of Data-Driven Personalization in E-commerce Marketing Lecture 38 Case Study: Using AI to Understand and Segment E-commerce Customers Lecture 39 Tips for Balancing Data Privacy with Personalized User Experiences Section 8: AI Chatbots for Customer Interaction and Support Lecture 40 The Role of AI Chatbots in E-commerce Customer Service and Engagement Lecture 41 How Chatbots Use Generative AI to Answer Customer Queries Effectively Lecture 42 Examples of E-commerce Chatbots Enhancing Customer Satisfaction Lecture 43 Case Study: Increased Conversions with AI-Driven Chatbot Assistance Lecture 44 Tips for Designing Conversational AI That Aligns with Brand Identity Section 9: Case Studies: Generative AI in E-commerce Success Lecture 45 Case Study: AI Personalization Driving Higher Retention Rates in E-commerce Lecture 46 Case Study: Generative AI for Cross-Selling and Upselling Strategies Lecture 47 Examples of Small Businesses Using AI for Improved Customer Experience Lecture 48 Lessons Learned from AI Implementation in Large Retailers Lecture 49 Case Study: AI-Driven Content Creation and Its Impact on SEO Section 10: Generative AI in Email and Retargeting Campaigns Lecture 50 How AI Can Enhance the Personalization of Email Marketing Campaigns Lecture 51 Examples of AI-Driven Retargeting Campaigns for Abandoned Carts Lecture 52 Case Study: Improved Customer Retargeting with Personalized Emails Lecture 53 Tips for Crafting AI-Personalized Retargeting Messages for E-commerce Lecture 54 Balancing Automation with Authentic Engagement in Email Campaigns Lecture 55 You've Achieved 50% >> Let's Celebrate Your Progress And Keep Going To 75% >> Section 11: Customer Journey Mapping Using Generative AI Lecture 56 Understanding the Customer Journey in the Context of E-commerce Lecture 57 How Generative AI Contributes to Enhanced Journey Mapping and Insights Lecture 58 Examples of AI Identifying Customer Touchpoints for Improved Experience Lecture 59 Case Study: Enhanced Customer Journeys Using AI Insights and Analysis Lecture 60 Tips for Utilizing AI Insights to Adapt the Customer Journey Section 12: Improving Visual Content with Generative AI Lecture 61 Introduction to AI Tools for Creating and Enhancing Visual Content Lecture 62 How AI Generates Product Images and Customizes Visual Experiences Lecture 63 Examples of AI-Driven Visual Content for E-commerce Product Pages Lecture 64 Case Study: Increased Click-Through Rates with AI-Generated Visuals Lecture 65 Tips for Ensuring High-Quality AI Visual Content that Drives Engagement Section 13: Building Personalized Promotions and Offers with AI Lecture 66 How AI Helps Create Customized Promotions for Different Customer Segments Lecture 67 Examples of Personalized Discount Strategies Driven by Generative AI Lecture 68 Case Study: Increased Sales with Tailored Offers in E-commerce Lecture 69 Tips for Designing Offers Based on Real-Time AI Customer Analysis Lecture 70 Balancing Generative AI with Personalized Promotion Effectiveness Section 14: Augmented Reality and Virtual Reality in E-commerce Lecture 71 Introduction to AR and VR Technologies and Their Integration with AI Lecture 72 Examples of AR and VR Enhancing the E-commerce Shopping Experience Lecture 73 Case Study: Using AI-Enhanced AR Tools for Virtual Product Trials Lecture 74 How AI Personalizes AR and VR Experiences for Unique Users Lecture 75 Tips for Leveraging AR and VR to Increase Customer Engagement Section 15: Enhancing Product Discovery with Generative AI Lecture 76 How Generative AI Can Improve Product Discovery on E-commerce Sites Lecture 77 Examples of Search Personalization Using AI to Simplify Product Browsing Lecture 78 Case Study: Enhanced Product Discovery and Engagement Through AI Lecture 79 Tips for Creating Intuitive AI-Driven Search Experiences for Customers Lecture 80 Techniques for AI Personalization Based on Product Viewing Behaviors Lecture 81 You've Achieved 75% >> Let's Celebrate Your Progress And Keep Going To 100% >> Section 16: AI-Driven Customer Reviews and Feedback Management Lecture 82 The Role of AI in Analyzing Customer Reviews and Generating Insights Lecture 83 How AI Generates Review Summaries for Better Customer Decision-Making Lecture 84 Examples of Using AI to Improve Feedback Collection in E-commerce Lecture 85 Case Study: Increased Trust and Credibility with AI-Managed Reviews Lecture 86 Tips for Using AI to Monitor and Respond to Customer Feedback Section 17: Generative AI for Upselling and Cross-Selling Opportunities Lecture 87 How AI Identifies Opportunities for Upselling and Cross-Selling in Real Time Lecture 88 Examples of AI-Driven Cross-Sell Recommendations for Product Bundles Lecture 89 Case Study: Improved Sales Metrics with AI Upselling Techniques Lecture 90 Tips for Balancing Automation and Relevance in Upselling Strategies Lecture 91 Using Customer Behavior Data to Inform AI Upsell and Cross-Sell Tactics Section 18: Ethical Considerations in Using AI for E-commerce Lecture 92 Understanding Ethical Concerns When Using AI for Personalized Marketing Lecture 93 Ensuring Privacy and Transparency in AI-Driven Personalization Campaigns Lecture 94 Examples of Brands Maintaining Ethical Standards in AI Use Lecture 95 Case Study: Challenges Faced in Ethical AI Implementation for Retail Lecture 96 Guidelines for Using Generative AI in a Responsible and Trustworthy Manner Section 19: Measuring the Success of AI in E-commerce Strategies Lecture 97 How to Track the Effectiveness of AI-Driven E-commerce Campaigns Lecture 98 Key Performance Indicators to Measure the Impact of Personalization Lecture 99 Case Study: Evaluating the ROI of AI-Enhanced E-commerce Campaigns Lecture 100 Examples of Using Data Analytics to Optimize AI Strategies Lecture 101 Tips for Continual Improvement of AI-Driven Marketing Efforts Section 20: Preparing for Future Trends in AI and E-commerce Lecture 102 Exploring Emerging AI Trends Shaping the Future of E-commerce Lecture 103 How Advances in Generative AI Will Transform Online Retail Marketing Lecture 104 Examples of Innovative AI Technologies to Watch in E-commerce Lecture 105 Preparing E-commerce Teams for Future AI Developments and Trends Lecture 106 Setting Long-Term AI Strategy Goals to Drive E-commerce Growth Lecture 107 You've Achieved 100% >> Let's Celebrate! Remember To Share Your Certificate!! Section 21: Your Assignment: Write down goals to improve your life and achieve your goals!! E-commerce professionals looking to leverage AI for enhancing online sales and customer engagement.,Digital marketing managers seeking to incorporate AI technologies into their marketing strategies to improve campaign results.,Online retail business owners interested in personalizing the shopping experience and maximizing conversion rates through AI-driven recommendations and content.,Technology developers and AI specialists focusing on creating and implementing generative AI solutions within the e-commerce sector.,Small to medium enterprise (SME) owners aiming to compete with larger companies by adopting AI for improved customer insights, personalization, and operational efficiency.,Marketing and business students or recent graduates looking to understand the current and future impact of AI on e-commerce strategies and practices. 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Free Download Generate Data Insights Using the Analyze Data Feature in Microsoft Excel Released 10/2024 By Matt Stenzel MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 14m 4s | Size: 42 MB Are you looking to save time and unlock the power of your data by using familiar data analysis tools? This course will teach you how to use the analyze data feature in Microsoft Excel to gain insights from your data. Are you looking to save time and unlock the power of your data by using familiar data analysis tools? This course will teach you how to use the analyze data feature in Microsoft Excel to gain insights from your data. In today's world, there are many amazing tools that can help make you more productive and give you insights over large amounts of data. In this course, Generate Data Insights Using the Analyze Data Feature in Microsoft Excel, you'll gain knowledge of this tool and experience it firsthand. You will see how you can use natural language and have the tool suggest questions and fields that could be valuable for data analysis. When you're finished with this course, you'll have a better understanding of the benefits and limitations of the analyze data feature in Microsoft Excel. Homepage https://www.pluralsight.com/courses/microsoft-excel-generate-insights-analyze-data-feature Rapidgator https://rg.to/file/d61d2424ddcc8068455fa246398d641c/xaeqn.Generate.Data.Insights.Using.the.Analyze.Data.Feature.in.Microsoft.Excel.rar.html Fikper Free Download https://fikper.com/GKt9iaZQw0/xaeqn.Generate.Data.Insights.Using.the.Analyze.Data.Feature.in.Microsoft.Excel.rar.html No Password - Links are Interchangeable

Free Download General Immigration Training Course Access Packet Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 22.31 GB | Duration: 15h 33m General Immigtaion What you'll learn Provides a thorough foundation in U.S. immigration laws, regulations, and policies. Understanding the intricacies of visas, green cards, citizenship processes, and deportation laws can help you effectively navigate the immigration system. For those pursuing careers in law, public administration, or international relations, an immigration course can open up a variety of career paths With immigration being a central issue in U.S. politics, understanding the historical and current policies can position you as a more effective advocate. Understanding of immigration processes enhances your professional skillset, making you more versatile in working with diverse populations and in global business Provides knowledge in various professional settings while contributing to your broader understanding of one of the most complex and important issues in the U.S. Requirements You will learn everything you need to know Description The United States has a long history of immigration, shaping its cultural, economic, and demographic landscape. Immigration to the U.S. has occurred in various waves, driven by diverse factors including political unrest, economic opportunities, and social conditions in different parts of the world. The early phases of U.S. immigration were largely unrestricted, with millions of people arriving from Europe in the 19th and early 20th centuries. This was a time of significant industrial growth, and immigrants provided much of the labor needed to expand the country's infrastructure and economy.However, as immigration increased, so did concerns over its impact on American society. In response, the U.S. began to impose regulations and restrictions. The Immigration Act of 1924 introduced quotas that limited immigration from certain regions, particularly targeting Asian and Southern European countries. These laws reflected broader anxieties about preserving national identity and concerns about labor competition. Over time, these restrictions evolved, and with the passage of the Immigration and Nationality Act of 1965, the U.S. removed quotas based on national origin, opening the doors for immigrants from Asia, Latin America, and Africa.Today, U.S. immigration policies remain a subject of political debate, particularly concerning issues like undocumented immigration, refugee admissions, and border security. The country continues to attract people from around the world, drawn by its promise of economic opportunity, education, and personal freedom. Despite the controversies surrounding immigration, it remains a vital part of the U.S.'s identity and growth, influencing everything from its labor force to its cultural diversity. As the global landscape shifts, U.S. immigration policy continues to adapt, reflecting both domestic needs and international pressures. Overview Section 1: About the Law Offices of Brian D. Lerner, APC Lecture 1 Attorney Brian D Lerner: An Introduction to my Immigration Law Firm Lecture 2 An Intro to the Law Offices of Brian D. Lerner Lecture 3 Certified Specialist in Immigration and Nationality Law Lecture 4 Attorney Consultation Process Lecture 5 Q&A with an Immigration Lawyer Lecture 6 How to get a quote in opening a case? Lecture 7 Certified Specialist in Immigration and Nationality Law Lecture 8 How to Run a Law Firm with Covid 19 Scare in U.S. Lecture 9 Ethnic Harmony, Racism and What it all means. Dealing with Ethnic Strife and Big Lecture 10 An Expert Immigration Lawyer can Practice Anywhere in the US. Lecture 11 Immigration Law Firm Opens It's 5000th Case Lecture 12 You should hire an Immigration Attorney to Help! Lecture 13 5 Million Immigration Video Views and Counting Lecture 14 Immigration Attorney / Certified Specialist Lecture 15 100,000 Facebook Likes for helping people with Immigration Lecture 16 Why hire an expert Immigration Attorney, not just a Local Immigration Lawyer? Lecture 17 Why should you hire an immigration attorney or deportation lawyer? Lecture 18 500 Immigration Videos and Counting Lecture 19 Los Angeles Immigration Attorney Lecture 20 New Immigration Law Lecture 21 WOW! Now here is the best Immigration Attorney! Lecture 22 Getting an American Immigration Attorney Lecture 23 How to Find US Immigration Attorney Lecture 24 Immigration Courses taught by an Immigration Attorney Lecture 25 Immigration Law is Federal Law Lecture 26 Immigration Attorney: How to find a good one. Lecture 27 Immigration Attorney and Deportation Lawyer and Business Visa Specialist Lecture 28 Immigration Consultation Lecture 29 Fighting the good case Lecture 30 Immigration Lawyer just passed 15000 followers on TikTok and 11000 on YouTube Lecture 31 100,000 Likes! Lecture 32 Getting a qualified Immigration Lawyer Lecture 33 Getting A Consultation from an Immigration Lawyer Section 2: COVID and Immigration Updates Lecture 34 Covid Restrictions Lifting Lecture 35 The best way to help Immigrants is to VOTE Lecture 36 More Visas not Allowed. Trump keeps trying. L-1's and H-1B's and J-1's on list t Lecture 37 Trump is at it again with his immigrant bashing preventing more visa holders Lecture 38 Current Update on Immigration Court Cases and Immigration policies Lecture 39 Trump's 'Proclamation' has more bark than bite. only applies to a small portion Lecture 40 Suing Immigration to Allow Corona Delays Lecture 41 Don't Give Up on Immigration Petitions with the Covid 19 Closures. Lecture 42 Supreme Court Allows Draconian Public Charge Rules Lecture 43 Keep on Fighting Immigration Policies Lecture 44 Public Charge Rule AND Border Wall RULED ILLEGAL Lecture 45 Big Win for Deferred Action! Lecture 46 The New Public Charge Regs Can Be Fought in Court Lecture 47 Trumps Claim to Deport Millions is FALSE Lecture 48 The Wall & Trump's Abuse of Power Lecture 49 Before: Martin Luther King, Today: The Wall Lecture 50 Sessions Tries AGAIN to Limit Immigration Court Lecture 51 Happy New Year and the Fight Goes On! Lecture 52 2nd Executive Order Halted Nationwide: Why? Lecture 53 One President cannot Erase Immigration Law Lecture 54 You can STILL apply for Visas to the U.S. Lecture 55 The Governor of Texas does Anti-Immigrant Bill Lecture 56 You Can't be Expeditely Removed if you have been here more than 2 years Lecture 57 Trump Orders: Guilty until Proven Innocent Lecture 58 Ninth Circuit rules against Trump Lecture 59 Freedom of the Press and the First Amendment Lecture 60 Immigration Judge and Bias with Appeal Lecture 61 Trump fight Immigration Video Lecture 62 Trump will likely END Provisional Waivers and DACA Lecture 63 Supreme Court strikes down most of Arizona's SB 1070 Lecture 64 The Supreme Court will hear arguments on the Arizona Immigration Law Lecture 65 The Unfair Alabama Immigration Law Lecture 66 Alabama and the need for Federal Immigration Reform Lecture 67 Immigration Attorney view on Immigration Reform Lecture 68 Immigration Reform Update Section 3: Interviews Lecture 69 Answer only what is asked of you and nothing more. Lecture 70 The Consulate Interview: Got a Minute? Lecture 71 Tattoos at your interview in Ciudad Juarez Lecture 72 What to do during an Immigration Interview Lecture 73 How to make a Group Appointment at U.S. Embassy Manila Lecture 74 What else can possibly go wrong at the Consulate? Lecture 75 Consulate Processing: Right to an Attorney Section 4: General Immigration Lecture 76 What is Immigration? Lecture 77 My FOIA: Getting a copy of your Immigration Record Lecture 78 TPS means Temporary and You should Look for other options Lecture 79 An Immigration Attorney should know Business Visas And Deportation Lecture 80 Want to get back to U.S. with your Green Card? Worried? Lecture 81 Committed a Crime? Watch this on Descamps case Lecture 82 How operation of law works In immigration law Lecture 83 The fight for Immigration Reform is not Over Lecture 84 The New Proposed Immigration Reform from Gang of Eight Lecture 85 Immigration Reform and getting a comprehensive new Immigration Bill Lecture 86 How to find a good Immigration and Naturalization Attorney to help you Lecture 87 How to get the Green Card and then become a U.S. Citizen? Lecture 88 USCIS Manila Types of Petitions that can be filed Lecture 89 Getting a divorce even if you are from the Philippines Lecture 90 USCIS Manila Contact Information Lecture 91 Are you serious? I don't have to wait for a visa? Lecture 92 Why you should hire a good immigration attorney? Lecture 93 The Hail Mary of Immigration Law: The Private Bill Lecture 94 Responding to the dreaded RFE Lecture 95 I-9 for a Teen Lecture 96 Expired Passport Lecture 97 Constitutional Guarantees Lecture 98 Legal Immigration Lecture 99 Markings on your Visa Lecture 100 The CFRs and FAMs Lecture 101 Immigration Consultation Lecture 102 Immigration Consultation Process Lecture 103 Local Police Lecture 104 Immigration Overview Lecture 105 FOIA and the agencies to post an FOIA Lecture 106 Hiring an Immigration Attorney Lecture 107 US Immigration Attorney Lecture 108 Passport Control Lecture 109 Affordable Immigration Help: Start with a Free Consultation Lecture 110 Debunking Misconceptions About Immigration Law: Comprehensive Services Explained Lecture 111 How to find a good immigration attorney Lecture 112 Why the U.S. Desperately Needs Comprehensive Immigration Reform Lecture 113 Biden's executive order will help many people Lecture 114 Passport Ink Lecture 115 Hiring an immigration attorney in the US Lecture 116 State powers and the federal supremacy clause Lecture 117 Chevron deference and what striking it down means Lecture 118 Immigration Video regarding Biden's Executive Orders Lecture 119 Don't wait. The new Biden executive order. Lecture 120 Biden Executive Order Update Lecture 121 Passports and Authenticity Lecture 122 Your passport and markings on your passport Section 5: Trump Series Lecture 123 Trump Executive Order: Checks on Balance of Power Lecture 124 Trump Executive Order resulting in a Muslim Ban Lecture 125 Trump Executive Orders: There is no place for Racism in America Lecture 126 Trump Deportation Series: Petition for Review Lecture 127 Trump Deportation Series: Appealing to the BIA Lecture 128 Trump Deportation Series: The Waivers Lecture 129 Trump Deportation Series: The NTA Lecture 130 Trump Deportation Series: Petition for Review Section 6: Diversity Lottery Lecture 131 The Diversity Lottery Visa is almost here. Do it right! Lecture 132 What do I do after I win the Diversity Lottery? Lecture 133 Can my family come with me on the Diversity Lottery? Lecture 134 How do I apply for the Diversity Lottery? Lecture 135 What are the requirements for the Diversity Lottery? Lecture 136 I can get a Visa through a lottery? Lecture 137 How many people come in on the Diversity Lottery? 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Free Download GenAI Fundamentals for UX Designers + Researchers Published 10/2024 Created by Joe Natoli MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 29 Lectures ( 2h 47m ) | Size: 3.12 GB Learn the key concepts and components to harness GenAI for UX design - and lead AI product innovation efforts. What you'll learn Learn core principles of responsible GenAI design that ensure our products serve all users equally + equitably. Success factors unique to Machine Learning (ML) products that UX + Product Designers and their teams should adopt Guidance on research to determine what kinds of problems are best solved by AI, and where human control should remain central. Determining when AI features are appropriate for users - and when they aren't Identifying when Automation (AI does the task for users) or Augmentation (help them do it better) is more appropriate. Designing the reward function and appropriately considering the balance between false positives and false negatives. Essential factors to consider when evaluating the reward function. How to weigh necessary, unavoidable tradeoffs between precision and recall, which is key to shaping an AI user experience. Designing for fairness and inclusion, from objectives to datasets to guidance on bias testing. Designing for generative variability: how do we present multiple, varied outputs to users - and how do we guide them in selecting the best one? Designing for multiple outputs: how do we help users filter and highlight differences between outputs? Designing for imperfections: how do we empower users to manage + mitigate imperfections and designing with contextual sensitivity? Designing for confidence: how do we design confidence scoring to properly evaluate output quality and increase user trust? Rules and examples for applying confidence scores. Designing for co-creation: how to we design co-creation processes where both the user and the AI can make adjustments? Designing for generic controls: using "temperature" to control the number of outputs and the degree of variability in those outputs. Designing for domain-specific controls, such as encoder-decoder models, semantic sliders and prompt engineering. Designing for prompt engineering: enabling and guiding users to effectively use multiple types of conversational prompts. Designing for exploration: incorporating flexibility, feedback, transparency and error handling/expectation management. Designing for choice, feedback, transparency + safety: centering users as active, empowered parti[beeep]nts in the creation process. Designing for mental models: orienting users to generative variability, teaching effective use and teaching the AI about the user. Designing for explanation, understanding + trust: providing clear rationales for outputs, using friction to curb over-reliance and showing imperfections. Designing against harm: understanding the critical ways irresponsible AI design can harm people. Designing against hazardous outputs: discrimination, exclusion, toxicity, misinformation, deep fakes, IP theft and more. Mitigating harm with a Value-Sensitive Design (VSD) process, integrated with an Agile or Lean development process. Requirements None. GenAI is stil extremely new to the world of UX, so this fundamentals course is meant to get you on solid ground fast, no matter your experience. Description Protect and grow your career: Learn to design GenAI-enabled productsThe UX and Product design landscape is evolving-and AI is leading the charge. If you're a designer, UXer, or product developer, you can't afford to be left behind. Generative AI is not just a buzzword; it's becoming the backbone of the next generation of user experiences. And without a deep understanding of how to design AI-powered products, your skill set risks becoming obsolete.This course is for you if you want to:Stay relevant in an industry that's rapidly integrating AI into every aspect of product development and feature sets.Be the asset your employer relies on-not the UXer or designer left off key projects because you lack the necessary skills.Lead the future of UX and design rather than have it dictated to you by engineers and product managers.Why you must start learning the fundamentals of GenAI product design nowAI isn't just an optional add-on anymore. It's the next fundamental shift in product design-just like when UX and UI became indispensable. Here's the reality:Employers want designers who understand how to design user-centered GenAI experiences that are useful, usable, valuable, and trustworthy. Without this skill, your job security and opportunities will shrink.Product improvement initiatives and AI integration projects are happening in every major company, from simple voice and chatbot interfaces to workflow-based conversational experiences. The people who know how to design these experiences are the ones who will be chosen for leadership roles.AI is the new frontier in UX and product design. Just as front-end coding knowledge became essential for UXers, understanding emerging design trends for GenAI - and how to design and evaluate AI-enabled products - is the next career progression.If you don't understand AI-enabled design, you won't be part of these key projects. Your value will diminish-both to your current employer and in the eyes of potential future employers.What you'll learn in this courseMaster the fundamentals of designing AI-powered productsLearn the principles that guide effective, responsible design for AI. I'll teach you the fundamental principles and approaches behind experiences that blend the power of AI with intuitive, human-centered design. From initial investigation and research to designing features, functionality and evaluation metrics to gauge usability and measure trust, I'll tackle all the core areas you need to know about.Why it matters: AI is about more than automation. It's about delivering useful and valuable user experiences that meet both user needs and business goals.Create ethical, trustworthy AI-driven productsI'll show you how to build AI products that users trust-and that won't perpetuate bias or misinformation. You'll learn the ethical considerations you need to think through and how to design with fairness and transparency in mind.Why it matters: Building trust is crucial in AI. Companies are investing in AI solutions that don't just work but are ethical and inclusive. Your ability to design these systems will set you apart.Understand the basics of designing for key GenAI attributes like generative variability and tradeoffs between precision and recall. Generative variability is the heart of GenAI. I'll walk you through two critical questions we, as UXers and designers, have to answer: (1) how do we present multiple, varied outputs to users and (2) how do we guide them in selecting the best one?As a UX or product designer, one of the key decisions you'll face when working with AI systems is how to balance precision and recall. I'll dig intot both concepts and walk you through how to design that balance appropriately.Why it matters: Generative variability is the heart of GenAI, and designing for it requires an approach that's very different from the products we typically tackle. In particular, precision and recall define how accurate and thorough your AI's results will be - and getting the balance right directly impacts UX and user trust.Turn AI into a business asset for your clients or employers Design AI systems that do more than just function-they deliver real business value. I'll teach you how to align AI-driven products with business objectives, ensuring that the user experience drives results.Why it matters: Your ability to create AI-enabled products that solve real business challenges will make you a valuable asset to your employer.Be a leader in AI-enabled UX and product designAs AI continues to reshape the design industry, you'll be equipped to lead AI-focused design projects, taking your career to the next level. No more waiting on engineers to explain AI to you. You'll be the one leading the collaborative charge to determine how AI best fits into product design.Why it matters: Leaders in this field don't wait for opportunities-they create them. Position yourself as a forward-thinking designer who is driving AI adoption and innovation.Who this course is for:New UX and Product Designers: If you're starting out and want to make your career trajectory more stable and secure, this course will give you the foundation to be an asset to your employer from day one.Experienced UXers, Product Designers and Product Developers: If you're already working in the industry and want to stay competitive and lead the next wave of innovation, this course will teach you how to begin integrating AI product design into your current design skill set - and to have informed, productive conversations with software engineers and data scientists on GenAI projects.I've included a massive GenAI UX workbook you can use on real-world projects.You can download and use this 164-page companion workbook to use both as practice and to help you through the process of designing for GenAI in your daily work as well. Use the guidance and 89 exercises across 22 mission-critical topics in GenAI design for any real-world GenAI projects that come your way - the exercises here are designed to help you through the process, from concept to execution. Who this course is for New UX and Product Designers: If you're starting out and want to make your career trajectory more stable and secure, this course will give you the foundation to be an asset to your employer from day one. Experienced UXers, Product Designers and Product Developers: If you're already working in the industry and want to stay competitive and lead the next wave of innovation, this course will teach you how to begin integrating AI product design into your current design skill set - and to have informed, productive conversations with software engineers and data scientists on GenAI projects. UX Researchers, UX Writers, Product Managers and anyone wondering what they need to know in order to play a role in designing GenAI-driven products. 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Free Download GenAI - Langchain for javascript developers Published 10/2024 Created by Amit Gupta MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 38 Lectures ( 3h 13m ) | Size: 1.62 GB Learn Generative AI and Langchain by building real life use cases in javascript/typescript What you'll learn Generative AI technology and building LLM powered applications Langchain with Javascript/Typescript using latest Langchain version Build RAG application using private data Build chatbot application using LLMs Working with different LLMs and LLM providers Langchain: LCEL, chains, retrievers, splitters, output parsers, chat memory, langsmith Solid understand of concepts: embeddings, vector databases, LLM parameters Requirements Basic JavaScript/Typescript knowledge, experience with Nodejs Basic software engineering concepts No machine learning experience is needed Description Welcome to the Generative AI Course for JavaScript Developers! This course is tailored specifically for JavaScript professionals ready to advance their careers in the rapidly growing field of generative AI. While AI and machine learning have traditionally been dominated by Python, generative AI has opened up new possibilities, allowing JavaScript developers to build high-quality, LLM powered applications.Who Should Take This Course? This course is designed for developers and architects with JavaScript and Node.js experience who are eager to build applications powered by large language models (LLMs). You'll learn how to use JavaScript with LangChain to create generative AI applications, mastering core concepts like RAG (retrieval-augmented generation), embeddings, vector databases, and more. By the end, you'll be equipped to develop robust generative AI applications.Course Journey: We start with setting up the development environment, creating basic applications to explore key frameworks. Then, we'll dive into advanced topics, building real-world applications with features like retrievable augmented generation and adding conversational layers with chat history.Key Topics Covered:LangChain with JavaScript/TypeScriptLLMs: Working with top providers like AWS Bedrock, OpenAI, and AnthropicPrompts & PromptTemplatesOutput ParsersChains: Including legacy chains and LCELLLM Parameters: Temp, Top-p, Top-kLangSmithEmbeddings & VectorStores (e.g., Pinecone)RAG (Retrieval Augmentation Generation)Tools: Web crawlers, document loaders, text splittersMemory & Chat HistoryThroughout the course, you'll engage in hands-on exercises and build real-world projects to reinforce each concept, ensuring a solid foundation in generative AI with JavaScript. By course completion, you'll be proficient in using LangChain to develop versatile, high-performance LLM applications.What's Included? This course is also a community experience. With lifetime access, you'll receive:GitHub repositories with complete course codeAccess to an exclusive Discord community for support and discussion on GenAI topicsFree updates and continuous improvements at no extra costDisclaimers:This is not a beginner course; software engineering experience and proficiency in JavaScript are assumed.We will be using the VSCode IDE (though any editor is welcome).Some LLM services may require payment, but we'll utilize free options whenever possible. Who this course is for Javascript developers and architects looking to advance their career with Generative AI technology Engineers that want to learn how to build Generative AI based applications with LangChain Homepage https://www.udemy.com/course/genai-langchain-for-javascript-developers/ Screenshot Rapidgator https://rg.to/file/1449164a6b104ebe0fd469ac8e66a622/blkrx.GenAI..Langchain.for.javascript.developers.part2.rar.html https://rg.to/file/c7b0bae4d7ad6b8599ad827467d9a0c8/blkrx.GenAI..Langchain.for.javascript.developers.part1.rar.html Fikper Free Download https://fikper.com/Xp6QDibeze/blkrx.GenAI..Langchain.for.javascript.developers.part2.rar.html https://fikper.com/sR5fMJ3nB3/blkrx.GenAI..Langchain.for.javascript.developers.part1.rar.html No Password - Links are Interchangeable

Free Download Gen AI - LLM RAG Two in One - LangChain + LlamaIndex Published 10/2024 Created by Manas Dasgupta MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 27 Lectures ( 9h 13m ) | Size: 4.44 GB Gen AI - Learn to develop RAG Applications using LangChain an LlamaIndex Frameworks using LLMs and Vector Databases What you'll learn Be able to develop your own RAG Applications using either LangChain or LlamaIndex Be able to use Vector Databases effectively within your RAG Applications Craft Effective Prompts for your RAG Application Create Agents and Tools as parts of your RAG Applications Create RAG Conversational Bots Perform Tracing for your RAG Applications using LangGraph Requirements Python Programming Knowledge Description This course leverages the power of both LangChain and LlamaIndex frameworks, along with OpenAI GPT and Google Gemini APIs, and Vector Databases like ChromaDB and Pinecone. It is designed to provide you with a comprehensive understanding of building advanced LLM RAG applications through in-depth conceptual learning and hands-on sessions. The course covers essential aspects of LLM RAG apps, exploring components from both frameworks such as Agents, Tools, Chains, Memory, QueryPipelines, Retrievers, and Query Engines in a clear and concise manner. You'll also delve into Language Embeddings and Vector Databases, enabling you to develop efficient semantic search and similarity-based RAG applications. Additionally, the course covers various Prompt Engineering techniques to enhance the efficiency of your RAG applications.List of Projects/Hands-on included: Develop a Conversational Memory Chatbot using downloaded web data and Vector DBCreate a CV Upload and Semantic CV Search App Invoice Extraction RAG AppCreate a Structured Data Analytics App that uses Natural Language Queries ReAct Agent: Create a Calculator App using a ReAct Agent and ToolsDocument Agent with Dynamic Tools: Create multiple QueryEngineTools dynamically and orchestrate queries through AgentsSequential Query Pipeline: Create Simple Sequential Query PipelinesDAG Pipeline: Develop complex DAG PipelinesDataframe Pipeline: Develop complex Dataframe Analysis Pipelines with Pandas Output Parser and Response SynthesizerWorking with SQL Databases: Develop SQL Database ingestion BotThis twin-framework approach will provide you with a broader perspective on RAG development, allowing you to leverage the strengths of both LangChain and LlamaIndex in your projects. Who this course is for Software Developers, Data Scientists, ML Engineers, DevOps Engineers, Support Engineers, Test / QA Engineers Homepage https://www.udemy.com/course/llm-rag-langchain-llamaindex/ Screenshot Rapidgator https://rg.to/file/7230881180fe2e920d73cb67f10d58f5/bcoul.Gen.AI..LLM.RAG.Two.in.One..LangChain..LlamaIndex.part2.rar.html https://rg.to/file/7b692f6bb84c20b1ae035f2a1a779a01/bcoul.Gen.AI..LLM.RAG.Two.in.One..LangChain..LlamaIndex.part4.rar.html https://rg.to/file/8462791b936870fe70b703ba287bf8e7/bcoul.Gen.AI..LLM.RAG.Two.in.One..LangChain..LlamaIndex.part1.rar.html https://rg.to/file/e43c085f370c303e6c476ae920466a80/bcoul.Gen.AI..LLM.RAG.Two.in.One..LangChain..LlamaIndex.part5.rar.html https://rg.to/file/fc2f130578d5c0ff7724b6095f427297/bcoul.Gen.AI..LLM.RAG.Two.in.One..LangChain..LlamaIndex.part3.rar.html Fikper Free Download https://fikper.com/0MdfBVuUR1/bcoul.Gen.AI..LLM.RAG.Two.in.One..LangChain..LlamaIndex.part1.rar.html https://fikper.com/9vG7HFRHEl/bcoul.Gen.AI..LLM.RAG.Two.in.One..LangChain..LlamaIndex.part2.rar.html https://fikper.com/DlsgBhYalk/bcoul.Gen.AI..LLM.RAG.Two.in.One..LangChain..LlamaIndex.part3.rar.html https://fikper.com/QCriLU0toN/bcoul.Gen.AI..LLM.RAG.Two.in.One..LangChain..LlamaIndex.part4.rar.html https://fikper.com/w5pOwFLOz3/bcoul.Gen.AI..LLM.RAG.Two.in.One..LangChain..LlamaIndex.part5.rar.html No Password - Links are Interchangeable

Free Download Gdpr Uk Data Protection Regulation, Compliance And Training Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 428.32 MB | Duration: 1h 7m General Data Protection Regulation (GDPR) | Data Protection Compliance | UK Data Protection Law What you'll learn Understand the key principles of GDPR and DPA. Learn the legal foundation for processing personal data. Identify essential compliance measures for schools. Gain insights into practical accountability and governance. Mitigate challenges related to data protection in education. Explore health and safety considerations linked to data privacy. Requirements This UK Data Protection education course doesn't require prior experience and is suitable for diverse learners. To study the course, all you need is a passion for learning and a good understanding of English, numeracy, and IT skills. Description Protect your school's data with confidence through A Guide to UK Data Protection: Education. Learn the essentials of GDPR and the Data Protection Act to ensure compliance and safeguard sensitive information. Stay ahead of legal challenges and create a secure educational environment.Data protection is critical for schools today, and the A Guide to UK Data Protection: Education course provides the essential knowledge needed to navigate the complex regulations of the Data Protection Act (DPA) and General Data Protection Regulation (GDPR). Through this course, you will gain a deep understanding of key legal requirements and principles that must be upheld in the education sector. You'll be equipped to address potential challenges in safeguarding personal data, ensuring that your institution meets the necessary compliance standards.The course delves into the legal foundation for processing personal data, giving you the confidence to handle sensitive information correctly. Practical accountability and governance are thoroughly covered, enabling you to create a culture of responsibility within your institution. By the end of the course, you will also be prepared to mitigate any risks associated with data breaches, ensuring the safety and privacy of students and staff alike.Protect your school, comply with UK data protection laws, and secure personal information with confidence. Enroll in A Guide to UK Data Protection: Education today and ensure you meet the highest standards of compliance. Overview Section 1: Introduction Lecture 1 Basics of GDPR Lecture 2 Key Principles of DPA- Part One Lecture 3 Key Principles of DPA- Part Two Lecture 4 Legal Foundation for Processing Lecture 5 Ensuring Compliance with DPA for School Lecture 6 Practical Accountability and Governance Lecture 7 Potential Challenges and Mitigation Lecture 8 Health and Safety Considerations School administrators managing data.,Educational professionals handling student information.,Compliance officers in the education sector.,Legal teams supporting schools and educational institutions.,Individuals looking for a related career.,Professionals seeking to enhance skills at this field. Screenshot Homepage https://www.udemy.com/course/gdpr-uk-data-protection-regulation-compliance-and-training/ Rapidgator https://rg.to/file/3a4ffd1c582991ac253207edca27ce71/rulsy.Gdpr.Uk.Data.Protection.Regulation.Compliance.And.Training.rar.html Fikper Free Download https://fikper.com/QxGMvTG9ZO/rulsy.Gdpr.Uk.Data.Protection.Regulation.Compliance.And.Training.rar.html No Password - Links are Interchangeable

Free Download Gamifying Training to Improve Learning Outcomes Released 10/2024 With Molly Kilfoyle, Madecraft MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 37m 43s | Size: 96 MB Transform training into engaging experiences with gamification techniques. Course details Discover how to leverage gamification to transform your trainings into fun and impactful learning experiences. In this course, instructional designer and corporate trainer Molly Kilfoyle outlines four steps you can take to make training fun with gamification: build your understanding of gamification benefits and applications, integrate important game elements into your trainings, personalize the learning experience, and evaluate and optimize your trainings. Homepage https://www.linkedin.com/learning/gamifying-training-to-improve-learning-outcomes Screenshot Rapidgator https://rg.to/file/0bfb3e0e727f3e40bc2417fcfc816187/miacm.Gamifying.Training.to.Improve.Learning.Outcomes.rar.html Fikper Free Download https://fikper.com/ObhVaLQVRi/miacm.Gamifying.Training.to.Improve.Learning.Outcomes.rar.html No Password - Links are Interchangeable

Free Download Game Development Bootcamp 3D Games With Unity Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 3.45 GB | Duration: 4h 42m Master Creating 2D and 3D Games with Unity from Scratch What you'll learn Set up Unity projects with proper folder structure and asset management. Navigate Unity's windows, asset store, and package manager effectively. Create player controller scripts to handle player movement and animations. Implement rigidbody-based movement and jumping mechanics. Requirements A computer capable of running Unity. Description This course offers a complete introduction to Unity game development, guiding you through building both 2D and 3D games from scratch. You'll start by setting up Unity with the proper folder structure and asset management techniques. We'll explore Unity's windows, asset store, and package manager to help you access essential tools and assets quickly.Through practical exercises, you'll learn how to create player controllers, implement rigidbody-based movement, and add animations. You'll also use prefabs to streamline your game elements and build a camera-follow script to enhance gameplay. In addition, we'll dive into tilemaps for level creation and fix collider issues, ensuring smooth player interactions.The course also covers creating start menus, pause menus, and game-over UIs to give your game a professional touch. Finally, you'll explore 3D mechanics by designing player controllers for 3D space, rotating players, and creating Game and Player Manager scripts. You'll also add weapons for interactive gameplay elements.By the end of the course, you'll have the skills and confidence to create, build, and deploy your own Unity projects across platforms. Start your game development journey today, unlock the potential to create engaging games, and turn your ideas into reality! Go from a beginner to developer today. Overview Section 1: Introduction Lecture 1 Setup Lecture 2 Folder Structure Lecture 3 Unity Main Windows Lecture 4 Unity Asset Store and Package Manager Section 2: Module 1 Lecture 5 Overview of game elements Lecture 6 Create a Player controller script Lecture 7 Move Player Using (Rigidbody) Lecture 8 Player Jumping Lecture 9 Creating animations Lecture 10 Add Animations to player Lecture 11 Introduction about Prefabs Lecture 12 Camera Follow script Lecture 13 Token prefab creation Lecture 14 Tilemaps in unity Lecture 15 Create a level Lecture 16 Tilemap collider Fix Lecture 17 Create Dead Zones Lecture 18 Create Level Complete Zone Lecture 19 Create start menu Lecture 20 Create in- game menu Lecture 21 Create Pause, Game Over UI Lecture 22 Learn to create build Section 3: Module 2 Lecture 23 Intro to 3D Lecture 24 Create Player for 3d space & Player controller Lecture 25 Player Rotate Lecture 26 Create Player Manager script Lecture 27 Create Game Manager Lecture 28 Create Weapons Lecture 29 Create LMG and Weapon switching Beginners interested in game development using Unity.,Indie developers looking to build both 2D and 3D games. Screenshot Homepage https://www.udemy.com/course/game-development-bootcamp-3d-games-with-unity/ Rapidgator https://rg.to/file/742267f4f47f759b29b90498796e2889/slrpo.Game.Development.Bootcamp.3D.Games.With.Unity.part3.rar.html https://rg.to/file/882af4169c8a3bc6d30116747bffc4c7/slrpo.Game.Development.Bootcamp.3D.Games.With.Unity.part1.rar.html https://rg.to/file/8e35e7f578c69e9dd2177a9816272ce8/slrpo.Game.Development.Bootcamp.3D.Games.With.Unity.part2.rar.html https://rg.to/file/d2dd98cc492b8c85bf1acc175465d05b/slrpo.Game.Development.Bootcamp.3D.Games.With.Unity.part4.rar.html Fikper Free Download https://fikper.com/22kMwhd8yN/slrpo.Game.Development.Bootcamp.3D.Games.With.Unity.part3.rar.html https://fikper.com/aEWLiwiXGh/slrpo.Game.Development.Bootcamp.3D.Games.With.Unity.part4.rar.html https://fikper.com/efEpHU0Zkw/slrpo.Game.Development.Bootcamp.3D.Games.With.Unity.part1.rar.html https://fikper.com/kpsRTHeU8p/slrpo.Game.Development.Bootcamp.3D.Games.With.Unity.part2.rar.html No Password - Links are Interchangeable

Free Download Fundamentals of UiPath Orchestrator Published 10/2024 Created by Mukesh Kala MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 26 Lectures ( 3h 45m ) | Size: 1.51 GB Master UiPath Orchestrator for Seamless RPA Management What you'll learn Understand the user interface, menus, and navigation options of UiPath Orchestrator. Gain knowledge on how to create, edit, and manage robots and environments in UiPath Orchestrator. Learn how to schedule, monitor, and run automation processes using UiPath Orchestrator. Discover how to create, manage, and utilize assets and queues in UiPath Orchestrator for efficient automation. Get insights into configuring Nudgets and their management in UiPath Orchestrator. Obtain skills to manage access for users and robots. Generate reports and leverage analytics features. Requirements Basics of UiPath Studio Description UiPath Orchestrator Fundamentals is a comprehensive course designed to help you understand the fundamentals of UiPath Orchestrator, a centralized automation management tool. This course is ideal for beginners or individuals who want to gain a solid foundation in orchestrating and managing their robotic process automation (RPA) initiatives.Starting with an introduction to UiPath Orchestrator, you will learn how this powerful platform facilitates the management and monitoring of your robot workforce. You will explore user roles and permissions, creating and managing robots, and configuring robot environments. In this course, you will delve into the process of deploying automation packages and acquiring licenses to maximize the efficiency of your RPA projects.You will learn how to schedule and manage jobs, ensuring your robots execute tasks optimally. Additionally, you will gain an understanding of the logging capabilities of Orchestrator, allowing you to track and analyze the performance of your robots. You will also discover how to handle exceptions and troubleshoot any potential issues that may arise during the automation process.By the end of this course, you will have a solid grasp of UiPath Orchestrator and be able to confidently leverage its features to orchestrate and manage your RPA projects. Whether you are an RPA developer, project manager, or business analyst, this course will equip you with the essential knowledge to efficiently manage your automation initiatives. Who this course is for Beginners in RPA UiPath Homepage https://www.udemy.com/course/fundamentals-of-uipath-orchestrator/ Screenshot Rapidgator https://rg.to/file/949ad402c7cb9fcb344382ff1aeb3837/nnqgt.Fundamentals.of.UiPath.Orchestrator.part2.rar.html https://rg.to/file/9cf082d417eeb77d83809ad5d7265ea4/nnqgt.Fundamentals.of.UiPath.Orchestrator.part1.rar.html Fikper Free Download https://fikper.com/lua2vvDOHa/nnqgt.Fundamentals.of.UiPath.Orchestrator.part2.rar.html https://fikper.com/sX9m250zWp/nnqgt.Fundamentals.of.UiPath.Orchestrator.part1.rar.html No Password - Links are Interchangeable

Free Download Fundamentals of Software Architecture - A Developer's Guide Published 10/2024 Created by ibercode training MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 38 Lectures ( 3h 22m ) | Size: 874 MB Learn software architecture principles, patterns, and practices to transition from developer to architect. What you'll learn Learn how to transition from a developer to a software architect, mastering the key skills and responsibilities of the architect role. Understand various software architectural patterns and when to use them, including monolithic, microservices, event-driven, and serverless architectures. Discover how to align technical decisions with business goals, ensuring that software architectures support both scalability and maintainability. Apply architecture principles to real-world scenarios, covering data flow, communication styles, and integration of software components into complete systems. Requirements Willingness to dive deep into software architecture concepts and patterns. Experience in software development and designing systems. Understanding of coding practices and system design principles. Description "Fundamentals of Software Architecture - A Developer's Guide" is designed for experienced software developers who are eager to transition into the role of a software architect. This course will provide you with the in-depth knowledge and practical skills needed to understand, design, and implement modern software architecture.We will start by exploring the key differences between a developer and an architect, focusing on the mindset shift required to think at a system-wide level. You'll learn about various architectural styles, including monolithic, layered, microservices, event-driven, and serverless architectures. We'll cover the trade-offs involved in selecting the right pattern, helping you make informed decisions that best suit your system's needs.In addition, you will dive into core architecture principles such as component decomposition, communication styles (synchronous vs. asynchronous), data models, and database strategies. We'll also explore how a software architect balances technical decisions with business goals, ensuring scalability, flexibility, and maintainability across the system.The course concludes with a hands-on real-world project, giving you the opportunity to see how architecture principles are applied in practice. You'll bridge the gap between theory and application, learning how to define software components, structure communication, and design a complete architecture from the ground up.By the end of the course, you'll have gained the skills and confidence to take on the challenges of modern software architecture and become a trusted leader in your organization. Who this course is for Software developers aiming to transition into a software architect role. Developers seeking to enhance their knowledge of software architecture patterns. Engineers looking to align technical decisions with business goals and scalability needs. Professionals ready to apply architectural principles to real-world software systems. Homepage https://www.udemy.com/course/fundamentals-of-software-architecture-a-developers-guide/ Screenshot Rapidgator https://rg.to/file/70589dc15f7e9e1fcf1336d1823f99ef/ixoyv.Fundamentals.of.Software.Architecture..A.Developers.Guide.rar.html Fikper Free Download https://fikper.com/gCebvsHHJk/ixoyv.Fundamentals.of.Software.Architecture..A.Developers.Guide.rar.html No Password - Links are Interchangeable

Free Download Fundamentals of English Grammar Published 10/2024 Created by Asandhi Jala Seneviratne MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 16 Lectures ( 2h 33m ) | Size: 2.85 GB Grade One upwards What you'll learn Alphabet is the key foundation of English Grammar. Learn the English alphabet and start learning english grammar from the initial stage. Learn Singular, Plural, Nouns, Verbs, witing sentences using "am" , "is" "are" and this, these, that, those Write present tense sentences, definite article and indefinite article and exercises. How to use Prepositions in a sentence, negative form sentences and plural nouns. Each lesson carries examples with work sheets Requirements Students in Grade one Students who successfully completed grade 1 Description Elevate your English language skills with this in-depth exploration of grammar fundamentals. Discover the artistry of language as you delve into the intricate nuances of parts of speech, sentence structure, and punctuation. Through engaging exercises and real-world examples, you'll acquire a refined understanding of grammar, empowering you to express yourself with elegance and sophistication. Join us on this captivating journey to unlock the beauty and power of the English language.English grammar is a complex system of rules that govern how words are combined to form meaningful sentences. It encompasses a wide range of topics, from the basic building blocks of language to more intricate aspects of sentence structure and usage.1. Parts of Speech ;Nouns: Words that refer to people, places, things, or animals2. Verbs: Words that express actions, states, or occurrences.3. Prepositions: Words that show relationships between nouns or pronouns and other words.4. Present tense: Actions happening now or habitual actions5. Countable and uncountable nouns: Nouns that can be counted and those that cannot6. Singular and plural forms: The forms of nouns that indicate one or more7. Preposition usage: How prepositions are used to show relationships8. Alphabet matching exercises using pictures and letters Who this course is for For teachers who can use this study package to guide the required children For parents who can guide their children with this study package For tutors Homepage https://www.udemy.com/course/fundamentals-of-english-grammar-l/ Screenshot Rapidgator https://rg.to/file/214234fc1b1f56635ecf65e6d94eb616/wsmbw.Fundamentals.of.English.Grammar.part2.rar.html https://rg.to/file/3159aca5670d20d507d85001cf78bc92/wsmbw.Fundamentals.of.English.Grammar.part1.rar.html https://rg.to/file/8bc50edaf28d6b0b455d6bdd707d9a12/wsmbw.Fundamentals.of.English.Grammar.part3.rar.html Fikper Free Download https://fikper.com/HAs9bKvILf/wsmbw.Fundamentals.of.English.Grammar.part3.rar.html https://fikper.com/Wv0rcqa0ax/wsmbw.Fundamentals.of.English.Grammar.part1.rar.html https://fikper.com/oILkw8bwap/wsmbw.Fundamentals.of.English.Grammar.part2.rar.html No Password - Links are Interchangeable

Free Download Fundamentals of Database Engineering Last updated 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 27h 59m | Size: 17.7 GB Learn ACID, Indexing, Partitioning, Sharding, Concurrency control, Replication, DB Engines, Best Practices and More! What you'll learn Learn and understand ACID Properties Database Indexing Database Partitioning Database Replication Database Sharding Database Cursors Concurrency Control (Optimistic, Pessimistic) B-Trees in Production Database Systems Database System Designs Difference between Database Management System, Database Engine and Embedded database Database Engines such as MyISAM, InnoDB, RocksDB, LevelDB and More Benefits of Using one database engine over the other Switching Database Engines with MySQL Database Security Homomorphic Encryption Requirements Have worked with databases before but wish to get deeper understanding Basic SQL knowledge Description Database Engineering is a very interesting sector in software engineering. If you are interested in learning about database engineering you have come to the right place. I have curated this course carefully to discuss the Fundamental concepts of database engineering.This course will not teach you SQL or programming languages, however, it will teach you skillsets and patterns that you can apply in database engineering. A few of the things that you will learn are Indexing, Partitioning, Sharding, Replication, b-trees in-depth indexing, Concurrency control, database engines and security, and much more. I believe that learning the fundamentals of database engineering will equip you with the necessary means to tackle difficult and challenging problems yourself. I always compare engineering to math, you never memorize specific formulas and equations, you know the basic proves and derive and solve any equation one throws at you. Database engineering is similar, you can't possibly say MongoDB is better than MySQL or Postgres is better than Oracle. Instead, you learn your use case and by understanding how each database platform does its own trade-offs you will be able to make optimal decisions. One other thing you will learn in this course is the lowest database interface that talks to the OS which is the database engine. Database engines or storage engines or sometimes even called embedded databases is a software library that a database management software uses to store data on disk and do CRUD (create update delete) Embedded means move everything in one software no network client-server. In this video course, I want to go through the few popular database engines, explain the differences between them, and finally, I want to spin up a database and change its engine and show the different features of each engine. Enjoy the course. 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Free Download Fundamentals of Building Office Add-ins with Office JavaScript APIs Duration: 2h 37m | Video: .MP4, 1280x720 15fps | Audio: AAC, 48 kHz, 2ch | Size: 267 MB Genre: eLearning | Language: English Microsoft Office is a powerful productivity suite that provides users with very capable, yet generic tools. With the Office JS API, you can build Office Add-ins that automate and integrate Office with your applications. Microsoft Office is a powerful productivity suite that provides users with very capable yet generic tools. Sometimes you need a little more structure and integration, and with the Office JS API, you can build Office Add-ins that automate and integrate Office with your applications. This course, Fundamentals of Building Office Add-ins with Office JavaScript APIs, will cover the fundamentals of the Office JavaScript API. First, it will introduce you to the different types of Add-ins, and show you how to get your development environment started. Next, you will learn how to build a simple PowerPoint task pane add-in. Finally, you will learn about communicating with external resources such as Trello, and about publishing the Add-in to the Microsoft Office Store. By the end of this course, you'll be ready to continue your learning for specific office applications like Excel and Word. Homepage https://www.pluralsight.com/courses/build-office-addins-js-api Rapidgator https://rg.to/file/8db7f9815069befe2b1bcf86ea19778d/vdnjr.Fundamentals.of.Building.Office.Addins.with.Office.JavaScript.APIs.rar.html Fikper Free Download https://fikper.com/1YE2D6SudA/vdnjr.Fundamentals.of.Building.Office.Addins.with.Office.JavaScript.APIs.rar.html No Password - Links are Interchangeable

Free Download Fundamentals Of Streamline Model For Waterflooding Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 4.46 GB | Duration: 8h 1m A practical guide to Streamline Modelling Using Python What you'll learn Will learn how to visualize movement of injected water in a plane Reservoir Using a python program learn to predict waterflood performance Will get a tool to understand the waterflood being monitored Learn how to use a python program to assess the use of polymer-flooding for Enhanced oil Recovery in a moderately heavy oil reservoir Requirements Fundamental knowledge of Reseroir Engineering and familiarity with python programing Description This course is about how to use python to model Waterflooding. Waterflooding is the most popular secondary recovery technique widely practiced throughout E&P industry. However, there are no simple tools to model waterflood to answer some of the basic questions like when to expect breakthrough of water, how the flood front looks like, are there any opportunities to improve ongoing waterflood and how heterogeneities impact waterflood performance.Although Commercial Numerical Simulation approaches are available, they require specialised training which is time consuming. With the popularity of python, it is possible to understand the intricacies of a waterflood process in a more transparent manner.The course is meant for Reservoir Engineers, Geoscientists working in Sub Surface team and all those concerned with reservoir management of waterflood processes in an oil field. Working knowledge of python/running python programs in a GoogleColab environment is assumed.The parti[beeep]nts will get an in-depth view of how injected water moves from water injection wells to oil production wells. They will explore the python programs to study various kinds of sensitivities of waterflood performance to placement of injectors and producers and how the heterogeneities in permeability and effective thickness will impact waterflood performance. It will also provide an insight in on how the convective and diffusive displacement takes place along streamlines. Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 Section-wise details Section 2: Linear Displacement Models Lecture 3 Linear Displacement Processes Lecture 4 Leaky Piston Displacement Lecture 5 Python programs for linear leaky piston displacement processes Section 3: 2D Streamtube models for homogeneous reservoirs using Method Of Images Lecture 6 Basic Principles Of Streamtube Models Lecture 7 Applications of Steady State Line Source Solution using Excel & VB Lecture 8 Basic Principles Of Streamline Modelling using Method Of Images Lecture 9 The streamline & Flood Front Plot Part-I Lecture 10 The Streamline and Flood Front Plot part II (Complete Model) Lecture 11 Applications Of Trace7f Section 4: Streamline Modelling Using A Finite Difference Approach Lecture 12 Streamline Modelling using A Finite Difference Approach Lecture 13 2D Streamline model using Finite Difference technique using new20b.ipynb Lecture 14 Plotting Flood Front & Pattern Flood Performance Lecture 15 Waterflood Surveillance Using Streamline Model Section 5: Saturation Modelling Along A Streamline Lecture 16 Saturation Modelling along a single streamline Lecture 17 Saturation Modelling in 2D using impe3.ipynb Section 6: Streamline Model For Polymer Flooding Lecture 18 Polymer Flooding Model :1d using poly1d.ipynb Lecture 19 A 2D Polymer flood Streamtube Model Reservoir and Petroleum Engineers, Subsurface Geoscientists involved in oil field Reservoir Management and Graduate Postgraduate and Doctoral Students involved in Subsurface Activities of Waterflooding and Chemical Flooding in Oil Fields , Screenshot Homepage https://www.udemy.com/course/fundamentals-of-streamline-model-for-waterflooding/ Rapidgator https://rg.to/file/0a45b84a8c6d2c1a5708eb3c12bcb33c/wjvnk.Fundamentals.Of.Streamline.Model.For.Waterflooding.part3.rar.html https://rg.to/file/258f2feb2534e0ac217018cd7707a966/wjvnk.Fundamentals.Of.Streamline.Model.For.Waterflooding.part5.rar.html https://rg.to/file/36256fc00e9391a18a4d89cf67ebd9bf/wjvnk.Fundamentals.Of.Streamline.Model.For.Waterflooding.part1.rar.html https://rg.to/file/3e85c7f42fd1af2154e0b578f6a64669/wjvnk.Fundamentals.Of.Streamline.Model.For.Waterflooding.part2.rar.html https://rg.to/file/89056d76e8e7f99d4e85e5576c2b165a/wjvnk.Fundamentals.Of.Streamline.Model.For.Waterflooding.part4.rar.html Fikper Free Download https://fikper.com/6hKZiDVzME/wjvnk.Fundamentals.Of.Streamline.Model.For.Waterflooding.part3.rar.html https://fikper.com/Wu5XsK4D2F/wjvnk.Fundamentals.Of.Streamline.Model.For.Waterflooding.part4.rar.html https://fikper.com/e0fgo5K5Nt/wjvnk.Fundamentals.Of.Streamline.Model.For.Waterflooding.part5.rar.html https://fikper.com/jW4BdS2rI8/wjvnk.Fundamentals.Of.Streamline.Model.For.Waterflooding.part2.rar.html https://fikper.com/lxJE2tk3iJ/wjvnk.Fundamentals.Of.Streamline.Model.For.Waterflooding.part1.rar.html No Password - Links are Interchangeable

Free Download Fundamentals Of Reinforcement Learning (2024) Last updated 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 4.01 GB | Duration: 10h 39m A systematic tour of foundational RL, from k-armed bandits to planning via Markov Decision Processes and TD learning What you'll learn Master core reinforcement learning concepts from k-armed bandits to advanced planning algorithms. Implement key RL algorithms including Monte Carlo, SARSA, and Q-learning in Python from scratch. Apply RL techniques to solve classic problems like Frozen Lake, Jack's Car Rental, Blackjack, and Cliff Walking. Develop a deep understanding of the mathematical foundations underlying modern RL approaches. Requirements Students should be comfortable with Python programming, including NumPy and Pandas. Basic understanding of probability concepts is beneficial (probability distributions, random variables, conditional and joint probabilities) While familiarity with other machine learning methods is helpful, it's not required. We'll build the necessary reinforcement learning concepts from the ground up. Section assignments are in pure python (rather than Jupyter Notebooks), and often span edits to multiple modules, so students should be setup with an editor (e.g. VS Code or PyCharm) Description Reinforcement learning is one of the most exciting branches of modern artificial intelligence.It came to the public consciousness largely because of a brilliant early breakthrough of DeepMind: in 2016, they utilised reinforcement learning to smash a benchmark thought to be decades away in artificial intelligence - they beat the world's greatest human grandmaster in the Chinese game of Go.This was so exceptional because the game tree for Go is so large - the number of possible moves is 1 with 200 zeros after it (or a "gargoogol"!). Compare this with chess, which has only 10^50 nodes in its tree.Chess was solved in 1997, when IBM's Deep Blue beat the world's best Gary Kasparov. Deep Blue was the ultimate example of the previous generation of AI - Good Old-fashioned AI or "GOFAI". A team of human grandmasters hard-coded opening strategies, piece and board valuations and end-game databases into a powerful computer which then crunched the numbers in a relatively brute-force way.DeepMind's approach was very different. Instead of humans hard-coding heuristics for how to play a good game of Go, they applied reinforcement learning so that their algorithms could - by playing themselves, and winning or losing millions of times - work out good strategies for themselves.The result was a game playing algorithm unbounded by the limitations of human knowledge. Go grandmasters to this day are studying its unique and creative moves in its series against Lee Sedol.Since then, DeepMind have shown how reinforcement learning can be practically applied to real life problems. A reinforcement learning agent controlling the cooling system for a Google data centre found strategies no human control engineer had thought of, such as to exploit winter temperatures to save heater use. Another of their agents applied to an experimental fusion reactor similarly found superhuman strategies for controlling the highly complex plasma in the reactor.So, reinforcement learning promises to help solve some of the grand problems of science and engineering, but it has a whole load of more immediately commercial applications too - from the A/B testing of products and website design, to the implementation of recommender systems to learn how to match up a company's customers with its products, to algorithmic trading, where the objective is to buy or sell stocks to maximise a profit.This course will explain the fundamentals of this most exciting branch of AI. You will get to grips with both the theory underpinning the algorithms, and get hands-on practise implementing them yourself in python.By the end of this course, you will have a fundamental grasp these algorithms. We'll focus on "tabular" methods using simple NumPy arrays rather than neural networks, as one often gets the greatest understanding of problems by paring them down to their simplest form and working through each step of an algorithm with pencil and paper.There is ample opportunity for that in this course, and each section is capped with a coding assignment where you will build the algorithms yourselfFrom there, the world is your oyster! Go solve driverless cars, make bajillions in a hedge fund, or save humanity by solving fusion power! Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 Course overview Section 2: K-armed bandits Lecture 3 Introduction to k-armed bandits Lecture 4 Setting the scene Lecture 5 Initial concepts Lecture 6 Action value methods // Greedy Lecture 7 Action value methods // Epsilon-greedy Lecture 8 Action value methods // Efficient implementation Lecture 9 Non-stationary bandits Lecture 10 Optimistic initial values Lecture 11 Getting started with your first assignement: the 10-armed testbed Section 3: Markov Decision Processes (MDPs) Lecture 12 Introduction to MDPs Lecture 13 From bandits to MDPs // setting the scene Lecture 14 From bandits to MDPs // Frozen Lake walk-through Lecture 15 From bandits to MDPs // Real world examples Lecture 16 Goals, rewards, returns and episodes Lecture 17 Policies and value functions Lecture 18 Bellman equations // Expectation equation for v(s) Lecture 19 Bellman equations // Expectation equation for q(s, a) Lecture 20 Bellman equations // Optimality equations Lecture 21 Walk-through // Bellman expectation equation Lecture 22 Walk-through // Bellman optimality equation Lecture 23 Walk-through // Matrix inversion Lecture 24 MDP section summary Section 4: Dynamic Programming (DP) Lecture 25 Introduction to Dynamic Programming Lecture 26 Policy evaluation // introduction Lecture 27 Policy evaluation // walk-through Lecture 28 Policy improvement // introduction and proof Lecture 29 Policy improvement // walk-through Lecture 30 Policy iteration Lecture 31 Value iteration // introduction Lecture 32 Value iteration // walkthrough Section 5: Monte Carlo methods Lecture 33 Introduction to Monte Carlo methods Lecture 34 Setting the scene Lecture 35 Monte Carlo example // area of a pentagram Lecture 36 Prediction Lecture 37 Control - exploring starts Lecture 38 Control - on-policy Lecture 39 Control - off-policy // new concepts Lecture 40 Control - off-policy // implementation Lecture 41 Environment introduction // Blackjack Section 6: Temporal Difference (TD) methods Lecture 42 Introduction to TD methods Lecture 43 Setting the scene Lecture 44 Sarsa Lecture 45 Q-learning Lecture 46 Expected sarsa Section 7: Planning methods Lecture 47 Introduction to planning methods Lecture 48 Filling the unforgiving minute Lecture 49 Dyna-Q // introduction Lecture 50 Dyna-Q // walk-through Lecture 51 Planning with non-stationary environments: Dyna-Q+ Section 8: Congratulations and feedback Lecture 52 Congratulations! This course is ideal for AI enthusiasts, computer science students, and software engineers keen to dive into reinforcement learning. Perfect for those with some programming experience who want to understand and implement cutting-edge AI algorithms from the ground up. 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Free Download Fundamentals Of Entrepreneurial Success Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.30 GB | Duration: 1h 52m Becoming the Greatest Asset in Your Business What you'll learnWhat Entrepreneurship means Mindsets for Entrepreneurial success How to validate your mindset and replace limiting mindset with better ones Characteristics and skillset for entrepreneurs success Blueprint for creating a sustainable Business RequirementsNo entrepreneurship experience is needed. Even if you haven't started a craft before. DescriptionUnlock the secrets to entrepreneurial success by focusing on the most important asset-YOU. This course, "Fundamentals of Entrepreneurial Success: Becoming the Greatest Asset in Your Business " is designed to help you build the right mindset and behavioural patterns needed to thrive as an entrepreneur. Success in business starts with the right foundation, and that foundation is YOU.Course OverviewBefore you can master business plans, market research, or funding strategies, you need to master yourself. In this module, we take you on a transformative journey to cultivate the mindset, behaviours, and character that are crucial for long-term entrepreneurial success. This course is about "becoming"-becoming the person who can confidently lead, adapt, and overcome the challenges of building a business.What You'll Learn- Entrepreneurial Mindset: Learn how to develop a growth mindset that allows you to see opportunities instead of obstacles, stay resilient, and embrace challenges as learning opportunities. Use a practical framework to assess your deep-rooted beliefs and determine if they are limiting or enhancing of your entrepreneurial aspirations.- Character Formation: Identify the key character traits-such as discipline, perseverance, and adaptability-that successful entrepreneurs need and how to cultivate these traits in your own life.- Self-Leadership: Discover how to take ownership of your entrepreneurial journey by leading yourself effectively. Learn the importance of self-awareness, emotional intelligence, and personal responsibility in business.- Building Entrepreneurial Habits: Develop daily habits and routines that support success. Learn how to stay focused, manage your time efficiently, and create systems that keep you on track.Practical Coaching and ExercisesThis module is highly interactive, with coaching sessions and practical exercises designed to help you reflect on who you need to become to succeed in business. Through these exercises, you will:- Identify and challenge limiting beliefs that hold you back from entrepreneurial success.- Cultivate the mindset shifts needed to think and act like an entrepreneur.- Create a personal development plan that aligns with your goals.Why Focus on You First?You are the foundation of your business. If you show up as the best version of yourself, your business will have the strongest foundation possible. This module helps you develop that foundation by focusing on your mindset and personal growth, ensuring you're ready for the challenges of entrepreneurship.Why Enroll?By the end of this course, you'll have a transformed mindset and the personal tools necessary to thrive as an entrepreneur. Whether you're just starting out or are looking to reshape your approach to business, this module will help you become the person your business needs to succeed. OverviewSection 1: Module Introduction Lecture 1 Welcome to OpEn Section 2: Entreprenuership, Entreprenuers, Enterprise Lecture 2 Lesson intro and Overview Lecture 3 Introduction to Entrepreneurship Section 3: Mindset and Beliefs Lecture 4 Mindset Definition Lecture 5 Mindset Formation Lecture 6 Mindset sustenance Section 4: Mindset Validation Lecture 7 Mindset Evaluation framework Section 5: Entrepreneurial Traits and Skillsets Lecture 8 Entrepreneurship Trait and skills Lecture 9 Skillset Assessment and Cultivation Framework Section 6: Lesson Conclusion Lecture 10 Lesson One outro Aspiring entrepreneurs,Business owners,Founder Homepage https://www.udemy.com/course/fundamentals-of-entrepreneurial-success/ Rapidgator https://rg.to/file/4fab134cc9e67b99dc8eda8adece0fe3/jiryg.Fundamentals.Of.Entrepreneurial.Success.part3.rar.html https://rg.to/file/651f849bba517557541edb7511629c31/jiryg.Fundamentals.Of.Entrepreneurial.Success.part2.rar.html https://rg.to/file/f3d4ad654978cc788e5d93a8d828e4df/jiryg.Fundamentals.Of.Entrepreneurial.Success.part1.rar.html Fikper Free Download https://fikper.com/NZNOxIZIW4/jiryg.Fundamentals.Of.Entrepreneurial.Success.part2.rar.html https://fikper.com/WEKHAtPH1d/jiryg.Fundamentals.Of.Entrepreneurial.Success.part1.rar.html https://fikper.com/zw8EV0ELjd/jiryg.Fundamentals.Of.Entrepreneurial.Success.part3.rar.html No Password - Links are Interchangeable