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Free Download Python Bootcamp and Introduction to Artificial Intelligence Last updated 8/2024 Duration: 5h47m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 6.78 GB Genre: eLearning | Language: English Master Python Programming and Dive into the World of AI: A Beginner-Friendly Journey from Coding Basics to AI Concepts What you'll learn Gain a strong understanding of Python, including data types, operators, control structures, functions, and classes, enabling you to write efficient and organize Apply Python concepts to solve real-world problems, automate tasks, and create projects, enhancing your logical and algorithmic thinking. Learn foundational concepts of Artificial Intelligence and Machine Learning, including key topics like supervised and unsupervised learning. Use Python libraries like TensorFlow, Keras, and scikit-learn to build, train, and evaluate basic AI models, gaining hands-on experience in AI and ML. Requirements No Prior Programming Experience Needed: This course is designed for absolute beginners, so no previous programming experience is required. We'll start from the basics and guide you through each step. Basic Computer Skills: Familiarity with using a computer, including navigating files and installing software, will be helpful but not mandatory. A Willingness to Learn: Bring your enthusiasm and curiosity! A proactive attitude towards learning will help you get the most out of the course. Access to a Computer and Internet Connection: You'll need a computer (Windows, macOS, or Linux) with internet access to download and install Python, follow along with the lessons, and practice coding. Description Welcome to the Python Bootcamp and Introduction to Artificial Intelligence , your comprehensive guide to mastering Python programming and exploring the exciting world of Artificial Intelligence. This course is designed for beginners and those with little to no programming experience who want to build a strong foundation in Python and gain an introductory understanding of AI. Throughout this course, you will Learn Python from Scratch : Start with the basics of Python programming, including variables, data types, control flow, functions, and modules. You'll build your coding skills step by step, working on real-world projects and examples. Explore Advanced Python Concepts : As you progress, you'll dive into more advanced topics such as object-oriented programming (OOP), file handling, and data manipulation. These skills will prepare you for more complex coding challenges. Introduction to AI and Machine Learning : Transition from Python programming to understanding the fundamentals of AI and Machine Learning. Learn key concepts like supervised and unsupervised learning, and discover how AI is applied in various industries. Hands-On Projects : Apply your knowledge through hands-on projects that reinforce your learning. By the end of the course, you'll have a portfolio of projects that demonstrate your skills in both Python and AI. Capstone Project : Complete a final capstone project where you'll integrate everything you've learned to solve a real-world problem using Python and AI techniques. Whether you're aiming to start a career in tech, add programming to your skillset, or simply explore the fascinating world of AI, this course is the perfect starting point. By the end, you'll be confident in your Python programming abilities and have a solid understanding of how AI works, setting you up for future success in the field. Enroll now and start your journey into Python programming and Artificial Intelligence! Who this course is for Complete Beginners: If you've never programmed before and want to start with Python, this course is designed to guide you from the very basics to more advanced concepts. Aspiring Programmers: Those interested in developing a strong foundation in Python programming as a stepping stone towards a career in software development, data science, or web development. Students and Professionals: Whether you're a student exploring programming for the first time or a professional looking to add Python and AI skills to your toolkit, this course offers practical, hands-on experience. AI and Machine Learning Enthusiasts: If you're curious about Artificial Intelligence and Machine Learning but don't know where to start, this course provides an accessible introduction to key concepts and tools. 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Free Download Professional Logo Production With Artificial Intelligence Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 216.06 MB | Duration: 0h 30m Professional Logo Production With Artificial Intelligence-GENAI What you'll learn Use of Artificial Intelligence Logo Production Applications Use of Artificial Intelligence Visual Production Applications Active or Passive Income Generation Systems with Artificial Intelligence Studies Prompt Engineering Business Models that can be done with Artificial Intelligence Content Production with Artificial Intelligence Prompt Engineering for Logo Production with Artificial Intelligence Requirements Beginner Level Description EducationProfessional Logo Production With Artificial Intelligence-GENAIPlanned in 2 Sections and 13 TitlesChapter OneIntroduction1-Introduction Professional Logo Production With Artificial Intelligence-GENAI2-How Much Income Can You Earn By Selling Logo Professional Logo Production With Artificial Intelligence-GENAI3-Logo Sales Platforms Professional Logo Production With Artificial Intelligence-GENAI4-Is There a Copyright Problem in Logo Designs Professional Logo Production With Artificial Intelligence-GENAIChapter TwoProfessional Logo Production With Artificial Intelligence5-Which Artificial Intelligence Platform to Use Professional Logo Production With Artificial Intelligence-GENAI6-Introduction to Artificial Intelligence Platform Professional Logo Production With Artificial Intelligence-GENAI7-Making Logo Production Settings in Artificial Intelligence Platform Professional Logo Production With Artificial Intelligence-GENAI8-How to Write a Detailed Prompt for Logo Design Professional Logo Production With Artificial Intelligence-GENAI9-Logo Production Work I Professional Logo Production With Artificial Intelligence-GENAI10-Logo Production Work II Professional Logo Production With Artificial Intelligence-GENAI11-Logo Production Work III Professional Logo Production With Artificial Intelligence-GENAI12-How to Remove Background from Produced Logos Professional Logo Production With Artificial Intelligence-GENAI13-How to Make Logo Productions in Different Styles Professional Logo Production With Artificial Intelligence-GENAIOur training has been planned and prepared within the scope of the above sectionsProfessional Logo Production With Artificial Intelligence-GENAIWe wish success to all our parti[beeep]ting students. FE AcademyContinue to Follow Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 How Much Income Can You Earn By Selling Logo Lecture 3 Logo Sales Platforms Lecture 4 Is There a Copyright Problem in Logo Designs Section 2: Professional Logo Production With Artificial Intelligence Lecture 5 Which Artificial Intelligence Platform to Use Lecture 6 Introduction to Artificial Intelligence Platform Lecture 7 Making Logo Production Settings in Artificial Intelligence Platform Lecture 8 How to Write a Detailed Prompt for Logo Design Lecture 9 Logo Production Work I Lecture 10 Logo Production Work II Lecture 11 Logo Production Work III Lecture 12 How to Remove Background from Produced Logos Lecture 13 How to Make Logo Productions in Different Styles Those Interested in Artificial Intelligence Programmes,Those who want to produce content with Artificial Intelligence,Those Interested in Artificial Intelligence Technologies,Those who want to produce images with Artificial Intelligence,Those who want to produce a logo with Artificial Intelligence,Those Who Want to Earn Income with Artificial Intelligence Homepage https://www.udemy.com/course/professional-logo-production-with-artificial-intelligence/ Rapidgator https://rg.to/file/23e92ae440b67f463d6a27509cc30c7c/lxckx.Professional.Logo.Production.With.Artificial.Intelligence.rar.html Fikper Free Download https://fikper.com/cAqEtfTwts/lxckx.Professional.Logo.Production.With.Artificial.Intelligence.rar.html No Password - Links are Interchangeable

Free Download Master Azure Artificial Intelligence (AI, ML, GenAI) Published 10/2024 Created by Freddy Ayala MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 39 Lectures ( 5h 20m ) | Size: 2.2 GB Become a Master of Azure AI Services (Speech, Visio, OpenAI, AI Studio, Promptflow) and Get Certified (AI-102) What you'll learn Navigate Azure's AI services to create smart app features. Apply AI with hands-on Azure-based projects. Implement generative AI for dynamic content. Deploy robust and scalable AI apps on Azure. Integrate their applications into an enterprise lanscape taking into account gouvernance and security Requirements Basic Programming Knowledge: Familiarity with a programming language, preferably C# or Python, used within Azure's context. Azure Fundamentals: An understanding of core Azure services and navigating the Azure portal. Development Environment: Access to a computer with internet connectivity, capable of running Azure's cloud services. Azure Subscription: While a free tier may be sufficient for starters, a paid subscription could be required for more advanced features. Description Embark on a journey to become a Microsoft AI Certified professional with our comprehensive course. Designed for aspiring Azure AI Engineers, this program equips you for the AI-102 certification while empowering you to build impactful AI solutions. Through hands-on learning, you'll master creating intelligent applications using Azure's powerful AI capabilities.What You'll Learn:Introduction to Azure and AI:Gain foundational knowledge of Azure and its AI services.Computer Vision Solutions:Develop image analysis, facial recognition, custom vision, and video analysis skills using Azure AI Vision.Natural Language Processing (NLP):Learn text analysis, translation, question answering, and conversational app building.Explore custom classification and speech recognition.Knowledge Mining:Create intelligent search solutions and knowledge stores using custom skills.Document Intelligence:Understand Azure's Document Intelligence Service with prebuilt and custom models.Generative AI with Azure OpenAI:Get started with Azure OpenAI Service and learn app development, prompt engineering, and data utilization.AI Studio:Explore AI Studio architecture, setup, deployment, and integration with Azure.PromptflowArchitecture and Security Best practicesCertification Preparation:Equip yourself with the skills needed for the Microsoft Certified: Azure AI Engineer Associate exam.Course Highlights:Azure AI-Centric Curriculum: Specialize in using Azure AI services for computer vision, NLP, knowledge mining, document intelligence, and generative AI.Interactive Labs: Gain hands-on experience with image analysis, language processing, and AI service deployment.Up-to-Date Learning: Prepare for the AI-102 certification with content updates reflecting current exam requirements.End-to-End Solution Development: Focus on building comprehensive and innovative AI applications.AI Studio Exploration: Delve into AI Studio architecture, setup, and deployment for creating intelligent solutions.Who This Course Is For:Developers aiming to build AI-driven applications using Azure AI.AI enthusiasts eager to deepen their Azure AI knowledge.Candidates for the Microsoft Certified: Azure AI Engineer Associate certification seeking hands-on learning.Prerequisites:Experience with Python programming.Basic understanding of Azure services.Your Instructor:Freddy is a well know worlwide Microsoft Subject Matter Experts skilled in AI technologies and Python that has contributed to the Microsoft AI Community. Here is a list of some of his contributions:Basic OpenAI end-to-end chat reference architectureBaseline OpenAI end-to-end chat reference architectureAzure OpenAI chat baseline architecture in an Azure landing zoneAI Studio End-to-End Baseline Reference ImplementationAnd many othersCertification Path:AI-102 Exam Preparation: Gain the knowledge needed to pass the Azure AI Engineer Associate exam.Skills You'll Develop:Planning and managing Azure AI solutions.Deploying services for complex decision-making.Building image recognition capabilities.Creating NLP-based chatbots and services.Engineering document intelligence solutions.Innovating with Python for generative AI.Course Outcome:Complete the course ready to pass the Microsoft Azure AI Engineer Associate exam, armed with the expertise to lead AI initiatives. Become proficient in driving AI projects and leveraging Azure and Python technologies.Enrollment:Enroll now to advance your career. Become a Microsoft AI Certified professional, bringing intelligent solutions to life. Sign up today and shape the future of AI application development. Who this course is for Software Developers: Enhance apps with Azure AI. Data Enthusiasts: Dive into AI model integration. IT Professionals: Master AI deployment on Azure. Recent Graduates: Begin your AI development journey. Tech-savvy Entrepreneurs: Innovate with AI features. Homepage https://www.udemy.com/course/master-azure-ai/ Screenshot Rapidgator https://rg.to/file/6acb3f7c5f7bf066feb3207fcaa9bdbd/pwnwp.rar.html Fikper Free Download https://fikper.com/QQEfMpaSSV/pwnwp.rar.html No Password - Links are Interchangeable

Free Download Intro To Ai A Beginner'S Guide To Artificial Intelligence Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.33 GB | Duration: 2h 27m Understand How AI Works and How to Leverage This Technology to Transform Your Business and Career What you'll learn Understand key Artificial Intelligence concepts and build a solid foundation Skyrocket productivity using AI Understand Generative AI and the underlying technology Grasp the importance of AI ethics Acquire an understanding of key AI tools Become acquainted with the top job prospects in the AI field Requirements No prior experience is required. We will start from the very basics Description Are you interested in exploring the exciting world of AI and mastering the fundamentals to unlock its full potential?If that's the case, you've come to the right place!This Intro to AI course begins with the fundamentals-exploring the core components behind today's cutting-edge AI algorithms. Through this comprehensive journey, you'll establish a strong foundation and gain deep insights into AI's workings and applications in product development. You'll learn about various AI models and understand how businesses can leverage them effectively.Moreover, the course offers practical knowledge of AI development and integration into web applications and business products. Discover job opportunities in the rapidly growing AI field and comprehensively understand the essential tools needed for a lucrative career in this high-demand sector. This ideal AI introductory course suits those passionate about the field and eager to explore its potential. It offers valuable insights for business stakeholders and a strong foundation for anyone aiming to start a career in AI.Few industries will escape disruption from artificial intelligence and its significant technological innovations. Embrace AI to gain a competitive edge and lead your industry with its transformative power.Our Intro to AI course provides foundational AI knowledge and practical insights to seamlessly integrate AI into your workflow. Join the select group that grasps AI's career and business opportunities and leverages its transformative power.What sets this AI course apart from other online offerings?1. Production QualityOur dedicated team has invested thousands of hours in crafting an exceptional learning experience. We focus full-time on simplifying complex topics and designing an engaging Intro to AI course you'll enjoy.2. Instructor ExcellenceNed Krastev (CEO of 365 Data Science) has educated over 3 million students worldwide. His courses rank among the most popular online, and he has delivered training for Fortune 100 companies.3. Engaging AnimationsOur courses utilize storytelling and high-quality animations to help internalize AI concepts-far surpassing simple PowerPoint presentations. 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Overview Section 1: Getting started Lecture 1 Natural vs Artificial Intelligence Lecture 2 Brief history of AI Lecture 3 Demystifying AI, Data science, Machine learning, and Deep learning Lecture 4 Weak vs Strong AI Section 2: Data is essential for building AI Lecture 5 Structured vs unstructured data Lecture 6 How we collect data Lecture 7 Labelled and unlabelled data Lecture 8 Metadata: Data that describes data Section 3: Key AI technique Lecture 9 Machine learning Lecture 10 Supervised, Unsupervised, and Reinforcement learning Lecture 11 Deep learning Section 4: Important AI branches Lecture 12 Robotics Lecture 13 Computer vision Lecture 14 Traditional ML Lecture 15 Generative AI Section 5: Understanding Generative AI Lecture 16 The rise of Gen AI: Introducing ChatGPT Lecture 17 Early approaches to Natural Language Processing (NLP) Lecture 18 Recent NLP advancements Lecture 19 From Language Models to Large Language Models (LLMs) Lecture 20 The efficiency of LLM training. Supervised vs Semi-supervised learning Lecture 21 From N-Grams to RNNs to Transformers: The Evolution of NLP Lecture 22 Phases in building LLMs Lecture 23 Prompt engineering vs Fine-tuning vs RAG: Techniques for AI optimization Lecture 24 The importance of foundation models Lecture 25 Buy vs Make: foundation models vs private models Section 6: Practical challenges in Generative AI Lecture 26 Inconsistency and hallucination Lecture 27 Budgeting and API costs Lecture 28 Latency Lecture 29 Running out of data Section 7: The AI tech stack Lecture 30 Python programming Lecture 31 Working with APIs Lecture 32 Vector databases Lecture 33 The importance of open source Lecture 34 Hugging Face Lecture 35 Hugging Face Lecture 36 AI evaluation tools Section 8: AI job positions Lecture 37 AI strategist Lecture 38 AI developer Lecture 39 AI engineer Section 9: Looking ahead Lecture 40 AI ethics Lecture 41 Future of AI This course is for you if you want a great career,The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills Screenshot Homepage https://www.udemy.com/course/intro-to-ai-a-beginners-guide-to-artificial-intelligence/ Rapidgator https://rg.to/file/806da44376a0befeb8352fc38d7ca2b8/kayfe.Intro.To.Ai.A.BeginnerS.Guide.To.Artificial.Intelligence.part3.rar.html https://rg.to/file/e715b1d0c73eb21b1a64f7e55117559b/kayfe.Intro.To.Ai.A.BeginnerS.Guide.To.Artificial.Intelligence.part2.rar.html https://rg.to/file/e9835bca108247a07768901cb9601aeb/kayfe.Intro.To.Ai.A.BeginnerS.Guide.To.Artificial.Intelligence.part1.rar.html Fikper Free Download https://fikper.com/RCpZuJ36M1/kayfe.Intro.To.Ai.A.BeginnerS.Guide.To.Artificial.Intelligence.part3.rar.html https://fikper.com/aRz91AC8ee/kayfe.Intro.To.Ai.A.BeginnerS.Guide.To.Artificial.Intelligence.part2.rar.html https://fikper.com/qq4HT4kH6X/kayfe.Intro.To.Ai.A.BeginnerS.Guide.To.Artificial.Intelligence.part1.rar.html No Password - Links are Interchangeable

Free Download Ethical Considerations in Artificial Intelligence Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 53m | Size: 1.67 GB Navigating Ethical Boundaries in AI What you'll learn Identify and articulate the key ethical considerations associated with the development and use of Artificial Intelligence in various organizational contexts. Assess the effects of AI on society, including issues related to bias, privacy, and accountability, and recognize their implications for organizations. Explain the critical role internal auditors play in evaluating and promoting ethical practices surrounding AI technologies within their organizations. Perform risk assessments focused on AI-related ethical challenges, identifying potential areas of concern and suggesting mitigation strategies. Advocate for best practices that foster transparency and fairness in AI systems, enhancing trust among stakeholders. Lead discussions on ethical AI usage within organizations, encouraging a culture of integrity and responsibility in AI deployment. Requirements Parti[beeep]nts are encouraged to have the following foundational knowledge and skills before enrolling in the Ethics in Artificial Intelligence for Auditors course Familiarity with auditing concepts, methodologies, and practices is essential for engaging with the course material. A general understanding of AI technologies, including machine learning and data analytics, will enhance parti[beeep]nts' comprehension of ethical implications. Prior experience in risk assessment or compliance roles will be beneficial for contextualizing the discussions on ethical boundaries. Familiarity with relevant regulations and guidelines concerning data privacy and ethical use of technology, such as GDPR or CCPA, is advantageous. A willingness to engage in discussions about ethics and responsibility in technology use will contribute to a productive learning environment. While these prerequisites are recommended, a strong motivation to learn about the ethical dimensions of AI will also support parti[beeep]nts' success in the course. Description As Artificial Intelligence (AI) transforms industries and enhances productivity, it also raises critical ethical considerations that users, organizations, and society must address. This course explores the ethical implications of AI, examining its societal effects and the challenges it presents, such as bias, privacy concerns, and accountability.Parti[beeep]nts will delve into case studies and real-world scenarios to understand how AI can impact decision-making processes and influence organizational culture. The course emphasizes the vital role of internal auditors in establishing ethical boundaries that guide the development and deployment of AI technologies.Key topics include frameworks for ethical AI use, the auditor's role in assessing AI risks, and best practices for promoting transparency and fairness in AI systems. By the end of the course, parti[beeep]nts will be equipped with the knowledge and tools necessary to help their clients navigate the ethical landscape of AI, ensuring responsible implementation that aligns with organizational values and societal expectations. This course is essential for auditors seeking to enhance their expertise in AI ethics and contribute to fostering a culture of integrity within their organizations.Parti[beeep]nts are encouraged to have the following foundational knowledge and skills before enrolling in the Ethics in Artificial Intelligence for Auditors course:Basic Understanding of Auditing Principles: Familiarity with auditing concepts, methodologies, and practices is essential for engaging with the course material.Introductory Knowledge of Artificial Intelligence: A general understanding of AI technologies, including machine learning and data analytics, will enhance parti[beeep]nts' comprehension of ethical implications.Experience in Risk Management or Compliance: Prior experience in risk assessment or compliance roles will be beneficial for contextualizing the discussions on ethical boundaries.Awareness of Regulatory Standards: Familiarity with relevant regulations and guidelines concerning data privacy and ethical use of technology, such as GDPR or CCPA, is advantageous.Interest in Ethical Considerations: A willingness to engage in discussions about ethics and responsibility in technology use will contribute to a productive learning environment.While these prerequisites are recommended, a strong motivation to learn about the ethical dimensions of AI will also support parti[beeep]nts' success in the course. 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Free Download Artificial Intelligence In Looker Studio Gemini Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 533.52 MB | Duration: 1h 27m Master Gemini in Looker Studio: AI-Powered Data Analytics Simplified What you'll learnHow to export Looker Studio charts in Google Slides with AI-generated insights. Use conversational analytics to ask questions in natural language and get instant answers. Leverage the formula assistant to create new fields by simply describing what you need. Navigate Gemini's AI-powered features in Looker Studio to streamline data analysis. Apply AI tools to make data insights more accessible, even for non-technical users. Master Looker Studio basics with a quick 20-minute crash course. RequirementsThe only requirements are to have a computer and access to the internet. It is helpful to know how to use Looker Studio. However, if you have never used it or need a refresher, I added a 20-minute crash course about Looker Studio basics. DescriptionUnlock the potential of Gemini, Google's latest AI model, integrated seamlessly into Looker Studio (formerly Data Studio). Whether you're already familiar with Looker Studio or just getting started with AI-driven tools, this course will take your data skills to the next level.In less than 1.5 hours, you will learn how to leverage Gemini's features to make data analysis more intuitive, efficient, and accessible to everyone.What You'll Learn:AI-Generated Presentations: Generate Looker Studio charts and seamlessly export them to Google Slides, complete with insightful comments about the data.Conversational Analytics: Ask Gemini about your data and receive clear insights in natural language.Formula Assistant: Struggling with formulas? Simply describe what you need in plain English, and let Gemini write the formula for you.What's Included:A 20-minute crash course on Looker Studio basics, perfect for those with no prior experience or those who need a quick refresher.A deep dive into Gemini's newest features in Looker Studio, with examples and step-by-step guidance.Lifetime access to the course, ensuring you can revisit the content anytime you need.Why Take This Course?If you're a data analyst, marketer, or business owner looking to enhance data-driven decision-making, this course is for you. One of Gemini's greatest strengths is its ability to lower the technical barriers to information.Don't miss this opportunity to stay ahead of the curve with AI-powered analytics. Sign up today and start mastering Gemini in Looker Studio! OverviewSection 1: Introduccion Lecture 1 Introduction to the course Lecture 2 Gemini in Looker Studio, what it is and its functionalities Section 2: Looker Studio intro Lecture 3 Looker Studio intro Lecture 4 Looker Studio vs Looker Studio Pro Section 3: Export Looker Studio charts to Google Slides with AI-generated insights Lecture 5 Looker Studio & Google Slides example 1 Lecture 6 Looker Studio & Google Slides example 2 Lecture 7 Google Slides add-on for Looker Studio Lecture 8 Looker Studio & Google Slides recap Section 4: Conversational Analytics: ask questions in natural language Lecture 9 Conversational Analytics example Lecture 10 Conversational Analytics recap Section 5: Formulas assistant: create new fields by simply describing what you need Lecture 11 Formulas assistant example Lecture 12 When the formulas assistant is not available Lecture 13 Formulas assistant recap Section 6: Requirements and how to enable Gemini Lecture 14 Requirements to sign up to Looker Studio Pro Lecture 15 How to enable Gemini Section 7: Conclusion Lecture 16 Conclusion Those looking to enhance data-driven decision-making using AI. Homepage https://www.udemy.com/course/artificial-intelligence-in-looker-studio-gemini/ Rapidgator https://rg.to/file/eeebae72321044244ca33b6c89b35730/codjb.Artificial.Intelligence.In.Looker.Studio.Gemini.rar.html Fikper Free Download https://fikper.com/H8vUXRCWIQ/codjb.Artificial.Intelligence.In.Looker.Studio.Gemini.rar.html No Password - Links are Interchangeable

Free Download Artificial Intelligence For Project Managers (2024) Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 11.39 GB | Duration: 14h 31m Transform into an AI-empowered Project Manager and elevate your projects What you'll learn Understand core AI concepts and their project applications, including machine learning, NLP, and automation. Apply AI tools like ChatGPT to automate tasks and enhance project management efficiency. Develop data-driven decision-making skills using AI insights to improve project outcomes. Ensure ethical AI integration in projects by addressing transparency, bias, and responsible usage. Strategically integrate AI into project workflows to boost productivity and collaboration. Write effective AI prompts that generate accurate, relevant outputs for project tasks. Understand how AI is shaping the future of project management and learn to adapt your role. Requirements No Prior AI Knowledge Required: This course is designed to introduce AI from the ground up, so no prior knowledge of AI or related technologies is necessary. Basic Project Management Experience: Learners should have some experience in leading projects or working in a project management role. A foundational understanding of project management principles will help you fully grasp the integration of AI into workflows. Description Master AI-Powered Project Management - Elevate Your Career with Artificial IntelligenceArtificial Intelligence for Project Managers is your gateway to thriving in the AI-driven future of project management. As AI revolutionizes industries, this course equips you with the critical skills needed to harness its power and remain indispensable in the ever-evolving landscape of project leadership.Created by project management expert Cornelius Fichtner, PMP, this course delivers 14.5 hours of practical, hands-on learning. From understanding foundational AI concepts to writing effective prompts and integrating AI into traditional project management frameworks, you'll gain the knowledge and tools to excel. With over 60,000 students successfully trained in project management, Cornelius has designed this course to not only introduce you to AI but also to transform the way you lead projects, making you a leader in the AI-powered future.What You'll Get with Artificial Intelligence for Project Managers:14.50 PDUs of Formal AI Education: Earn your certificate and PDUs while learning the essential AI skills that will elevate your project management career.Comprehensive AI Coverage: Master AI concepts, from machine learning and natural language processing to generative AI, and discover their applications in real-world project management scenarios.Practical Application: Explore real-world case studies and examples, so you can immediately apply AI to automate tasks, enhance decision-making, and improve project efficiency.Expert-Led Video Lessons: Enjoy engaging, easy-to-follow lessons that break down AI technologies and their strategic applications in project management, ensuring you stay ahead in your career.AI-Powered Project Leadership: Learn how AI will shape the future of project management and develop strategies for integrating AI into your projects to enhance your leadership and decision-making capabilities.With this course, you won't just learn how to use AI tools like ChatGPT on your project. Instead, this course teaches you to become AI literate-you'll understand how to integrate AI into your project management processes, transforming your leadership style and ensuring you stay ahead of the curve in an AI-driven world.Take the next step in your career and future-proof your project management skills. Enroll today and become an AI-powered (and empowered) project manager. Overview Section 1: Welcome Lecture 1 Introduction Section 2: The AI PM Revolution Lecture 2 Building The Future-Proof Project Manager Lecture 3 AI Literacy for Project Managers Section 3: AI Fundamentals Lecture 4 AI Basics Lecture 5 Machine Learning Lecture 6 Natural Language Processing Lecture 7 Large Language Models Section 4: AI Ethics, Integrity & Transparency Lecture 8 Leading Ethical AI Projects Lecture 9 Responsible AI Section 5: Data Lecture 10 Data Quality: Foundation for AI-Ready Projects Lecture 11 Taming AI (Data) Bias Lecture 12 Data Literacy Basics for Project Managers Section 6: Generative AI Lecture 13 Generative AI Lecture 14 Writing Effective AI Prompts Lecture 15 Prompting Like a Boss Section 7: The Future: AI-Driven PM Lecture 16 Becoming an AI-Powered Project Manager Lecture 17 Developing the AI-Powered Project Team (Part 1) Lecture 18 Developing the AI-Powered Project Team (Part 2) Section 8: AI in Action: Expert Insights - AI Interviews from The PM Podcast Lecture 19 Podcast Interview: Beyond Theory - Real-Life AI Solutions in PM Lecture 20 Podcast Interview: Unveiling the Power of Artificial Intelligence in PM Lecture 21 Podcast Interview: Harnessing Artificial Intelligence in Digital Agency PM Lecture 22 Podcast Interview: Data Literacy for Project Managers in the Age of AI Lecture 23 Podcast Interview: AI for PMs: Hype or Help? Survey Says... Lecture 24 Podcast Interview: AI in Project Management: Promise vs. Practice Project managers who want to enhance their skills by integrating artificial intelligence into their workflows. Whether you're a seasoned project manager looking to stay relevant in an AI-driven world or someone just starting to explore AI's potential in project management, this course will provide practical insights and hands-on tools to make AI work for you. 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Free Download All basics of Artificial Intelligence for any API developers Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 958.06 MB | Duration: 1h 54m Intro course about the value of Artificial Intelligence, how it works and benefits of including AI in your API projects What you'll learn Learn the basics of AI and the tech behind its amazing capabilities. Define machine learning, how it relates to AI, and distinguish between structured and unstructured data. Understand the Need for Neural Networks. Discover the capabilities of generative AI and the technology that powers it. Learn how AI enables computers to interpret and generate natural human language. Learn the importance of data and ethics to prep for the AI innovations shaping our future. Remove bias from data and algorithms to create ethical AI systems. Identify the technologies related with AI. Discover the capabilities of generative AI and the technology that powers it. Discover how generative AI can boost productivity throughout your organization. Requirements Basic Computer Knowledge and internet access You have an attitude to learn while having fun :) Want to learn Artificial Intelligence from scratch Description This course was created with one goal only: to support you with the very first steps about Artificial Intelligence providing a person, API developer or not, with the basic ideas about what is AI, how it works and what are the benefits of using it within our company and internal software projects.In resume, this course will level up your AI game and help you out getting the fundamental concepts about Artificial Intelligence!So, don't worry if you have no prior knowledge!Start Learning Now. Hit the Enroll Button!The main principle behind this course is to introduce all contents in a very detailed but easy way, so it can results in a few benefits for all students enrolled:Reduces your learning curve at maximum by going straight to the point;Clear Introduction to the most popular concepts about Artificial Intelligence (AI);Gives you the knowledge and foundations to become an API developer that can take advantage of Artificial Intelligence (AI);In resume, it gives you all the tools to get a high-paying job. But how we will accomplish that?Shortly, through short and clear videos, we will cover in detail all the most important topics which are required for being familiar in Artificial Intelligence (AI) and using its potential to boost your software development lifecycle project.Thus, at the end of the course you will:test your knowledge with dozens of quizzesa practical exam.So, what are you waiting for?Be an API developer with Artificial Intelligence (AI) knowledge. Hit the Enroll Button! Overview Section 1: First Principles of Artificial Intelligence Lecture 1 Introduction Lecture 2 AI Capabilities Lecture 3 Defining AI Section 2: Introduction to Machine Learning Lecture 4 Feeding Machine Learning models with data Lecture 5 Data Types Section 3: Basics of Neural Networks Lecture 6 Understand the Need for Neural Networks Lecture 7 Adding Complexity to Neural Networks Section 4: First Principles of Generative AI Lecture 8 Capabilities of Generative AI - Part 1 Lecture 9 Capabilities of Generative AI - Part 2 Lecture 10 How to charge Generative AI Training Lecture 11 Emerging Ecosystem Lecture 12 Common Concerns About Generative AI Section 5: First Principles of Natural Language Processing Lecture 13 Introduction Lecture 14 Defining natural language Lecture 15 Natural Language Understanding vs Natural Language Generation Lecture 16 Basic Elements of Natural Language Lecture 17 Parsing Natural Language - Part 1 Lecture 18 Parsing Natural Language - Part 2 Section 6: Data Fundamentals for AI Lecture 19 The Importance of data today Lecture 20 What is data-driven decision-making? Lecture 21 The Significance of data in AI Lecture 22 Data Classification and Types - Part 1 Lecture 23 Data Classification and Types - Part 2 Lecture 24 Data Classification and Types - Part 3 Lecture 25 The Importance of Data in AI Lecture 26 Data Lifecycle for AI Lecture 27 Ethics, Data, and AI - Part 1 Lecture 28 Ethics, Data, and AI - Part 2 Lecture 29 Ethics, Data, and AI - Part 3 Lecture 30 Legal and Regulatory Frameworks for Data and AI Section 7: Create ethical AI systems Lecture 31 Bias vs Fairness Lecture 32 Recognize Bias in Artificial Intelligence Lecture 33 Types of Bias - Introduction Lecture 34 Types of Bias - Measurement Bias Lecture 35 Types of Bias - Type 1 vs. Type 2 Error Lecture 36 Types of Bias - Association Bias Lecture 37 Types of Bias - Confirmation Bias Lecture 38 Types of Bias - Automation Bias Lecture 39 Types of Bias - Interaction Bias Lecture 40 How Does Bias Enter the AI System? Lecture 41 Remove Bias from Data and Algorithms - Introduction Lecture 42 Remove Bias from Data and Algorithms - Part 1 Lecture 43 Remove Bias from Data and Algorithms - Part 2 Lecture 44 Remove Bias from Data and Algorithms - Part 3 Section 8: Artificial Intelligence Technologies Lecture 45 Introduction Lecture 46 Types of Machine learning Lecture 47 The Role of Machine Learning Lecture 48 Limitations of Machine Learning Section 9: Exploring Generative AI Lecture 49 Introduction Lecture 50 What is Predictive AI Lecture 51 What is Generative AI - Part 1 Lecture 52 What is Generative AI - Part 2 Lecture 53 Predictive AI vs Generative AI Lecture 54 Potential risks to Generative AI Lecture 55 Creating Responsible Generative AI Lecture 56 Guidelines Govern AI Action Lecture 57 Image Generative AI Models Lecture 58 Uses of Generative AI for Imagery - Part 1 Lecture 59 Uses of Generative AI for Imagery - Part 2 Lecture 60 Uses of Generative AI for Imagery - Part 3 Lecture 61 Uses of Generative AI for Imagery - Part 4 Lecture 62 Uses of Generative AI for Imagery - Part 5 Lecture 63 Ethics of Generated Artwork Section 10: Generative AI for Organizations Lecture 64 The Potential of Generative AI for Companies Lecture 65 Boost Companies with Generative AI - Part 1 Lecture 66 Boost Companies with Generative AI - Part 2 Lecture 67 Boost Companies with Generative AI - Part 3 Lecture 68 Boost Companies with Generative AI - Part 4 Lecture 69 Boost Companies with Generative AI - Part 5 Lecture 70 Boost Companies with Generative AI - Part 6 Section 11: Change Management for AI Execution Lecture 71 What Is Change Management Lecture 72 The Keys to Change Management Lecture 73 Human-centered approach to AI adoption - Part 1 Lecture 74 Human-centered approach to AI adoption - Part 2 Lecture 75 Embrace the change Lecture 76 Build Trust Lecture 77 Increase Collaboration Section 12: Wrap up Students curious to learn about a top trending technology for the future.,Software professionals who are looking for a career change option into Artificial Intelligence.,Non-software professionals who are looking for to start a new career in the IT sector.,All professionals who are looking for to work with one of to most in-demanding technology and get a better salary. 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Free Download Artificial Intelligence Risk Management For Medical Device Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 495.56 MB | Duration: 1h 4m Application of AAMI/BSI TR 34971 and ISO 14971 What you'll learn Understand AI-Specific Risk Management in Medical Devices Understand Regulatory Requirements for AI-Based Medical Devices Implement a Comprehensive Risk Management Process Identify and Mitigate AI-Specific Risks Ensure Post-Market Surveillance and Continuous Improvement Requirements Basic Understanding of Medical Devices and AI Learners should have a foundational understanding of medical devices and how artificial intelligence (AI) is used in healthcare applications. Familiarity with basic AI concepts, such as machine learning models and their applications, is helpful but not mandatory. Familiarity with Risk Management Principles Some experience with risk management or quality assurance processes (in any industry) would be beneficial. This includes concepts like risk assessment, mitigation strategies, and compliance. Eagerness to Learn No prior experience with ISO 14971 or AAMI/BSI TR 34971 is required. Beginners are welcome, and the course will cover all key concepts, standards, and practices needed to understand and manage risk in AI-based medical devices. Description This course provides in-depth training on the application of AAMI/BSI TR 34971 and ISO 14971 standards for managing risks in AI-based medical devices. Learners will explore how these globally recognized frameworks ensure safety, compliance, and quality throughout the product lifecycle. By focusing on AI-specific challenges-such as algorithm bias, model drift, and data integrity-parti[beeep]nts will gain valuable insights into mitigating risks associated with AI technologies in healthcare.The course covers essential topics including hazard identification, risk analysis, risk control, and the evaluation of residual risks. Additionally, learners will understand how to integrate risk management practices into both the development and post-market surveillance phases of medical device deployment.Practical examples and case studies are used to illustrate how AI-driven medical devices can meet regulatory requirements while maintaining high levels of performance and safety. The course includes several templates that learners can apply to streamline the risk management process. By the end of the course, learners will have the knowledge to effectively implement risk management processes that align with ISO 14971 and AAMI/BSI TR 34971, ensuring that their AI-based devices are compliant with international standards and regulations. This course is ideal for professionals involved in product development, quality assurance, and regulatory affairs in the medical device industry, as well as AI system developers. Overview Section 1: Introduction Lecture 1 Introduction Section 2: What is ISO14971 Lecture 2 What is ISO14971? Section 3: Key Definitions and Concepts in ISO 14971 Lecture 3 Key Definitions and Concepts in ISO 14971 Section 4: Competence of personnel Lecture 4 Competence of personnel Section 5: Regulatory requirements Lecture 5 Regulatory requirements Section 6: Risk Management Process Lecture 6 Risk Management Process Lecture 7 Risk Management Plan Lecture 8 Risk Analysis Lecture 9 Risk Evaluation Lecture 10 Risk control Lecture 11 Evaluation of overall residual risk Section 7: Risk management review Lecture 12 Risk management review Section 8: Production and post-production activities Lecture 13 Production and post-production activities Regulatory Affairs Professionals: Individuals working in medical device regulatory compliance who need to understand the application of ISO 14971 and AAMI/BSI TR 34971 to manage AI-specific risks and ensure regulatory alignment.,Quality Assurance and Risk Management Specialists: Professionals tasked with ensuring the safety, quality, and performance of medical devices will benefit from learning how to implement a comprehensive risk management process for AI-based devices.,Medical Device Developers and Engineers: Engineers and developers involved in creating or updating AI-powered medical devices will gain critical insights into how to identify and mitigate AI-specific risks, such as algorithm bias and model drift.,Healthcare and AI Enthusiasts: Individuals with an interest in artificial intelligence and healthcare innovation who want to learn about the intersection of AI technology and medical device regulations, safety standards, and risk management. Homepage https://www.udemy.com/course/artificial-intelligence-risk-management-for-medical-device/ Rapidgator https://rg.to/file/1e5e581245b9261b99a1c30731f8848e/rgwlc.Artificial.Intelligence.Risk.Management.For.Medical.Device.rar.html Fikper Free Download https://fikper.com/lLfRcy8e2m/rgwlc.Artificial.Intelligence.Risk.Management.For.Medical.Device.rar No Password - Links are Interchangeable

Free Download AI Fundamentals - Essential Guide to Artificial Intelligence Published 10/2024 Created by Steve Ballinger, MBA MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 16 Lectures ( 2h 9m ) | Size: 2.67 GB Future-Proof Your Career: Learn AI Fundamentals and Thrive in a Rapidly Changing AI World. A Practical Intro to AI. What you'll learn: Understand the core concepts of Artificial Intelligence (AI) and how it differs from traditional computer programs. Learn how Generative AI works and explore real-world examples like ChatGPT, image generators, and more. Gain insights into the lifecycle of AI models, including how they are trained, improved, and continuously developed. Master key AI technologies at an easy to understand level like Machine Learning, Deep Learning, and Large Language Models (LLMs). Explore the ethical considerations surrounding AI, including bias, transparency, and responsible use. Develop practical skills for writing effective AI prompts and collaborating with AI tools for better results. Prepare for the future by understanding how AI is transforming industries and the skills needed to stay competitive in an AI-driven world. Requirements: No prerequisites other than a desire to learn the foundational concepts around the emerging AI technology. Description: Unlock the power of Artificial Intelligence (AI) and dive deep into the exciting world of Generative AI with this comprehensive course designed for beginners and enthusiasts alike. In this course, you'll explore the foundations of AI, understand how it differs from regular computer programs, and learn the essential concepts behind generative models. Whether you're curious about AI's impact, want to enhance your professional skillset, or simply explore the latest trends, this course will equip you with the knowledge you need to thrive in today's AI-driven world.What You'll Learn:What is Artificial Intelligence (AI)?Understand the core principles of AI and how it's revolutionizing industries.How does AI differ from regular computer programs?Learn what makes AI unique and how it can solve complex problems.Introduction to Generative AI:Explore the basics of Generative AI and how it creates new content like images, text, and more.Real-World Examples of Generative AI:See how Generative AI is being used today in applications such as ChatGPT, DALL·E, and MidJourney.How Does Generative AI Work in Simple Terms?Gain insights into how these powerful AI systems generate new and creative content from scratch.The Rise of Generative AI:Discover why this technology has gained so much attention and its potential for future innovation.Ethical Concerns in AI:Delve into the critical ethical questions surrounding AI, including bias, transparency, and responsible use.AI Model Training and Lifecycle:Learn how AI models are trained, improved, and continuously developed to get smarter and more effective over time.Machine Learning, Deep Learning, and Large Language Models (LLMs):Understand how these technologies fit into the broader AI ecosystem and power generative systems.Natural Language Processing (NLP):Learn how AI "understands" human language and interacts seamlessly with people.The Concept of Singularity:Explore the thought-provoking idea of AI surpassing human intelligence-what does it mean for the future?Essential Skills for the Future of AI:Equip yourself with practical skills, from crafting better AI prompts to collaborating with AI to achieve your goals.Writing Effective Prompts & AI Collaboration:Discover how to communicate effectively with AI and get the best possible results by crafting precise and creative prompts.Who Is This Course For?Anyone curious about Artificial Intelligence and its impact on the worldProfessionals who want to integrate AI into their workflows or understand how to leverage it for businessStudents and learners interested in expanding their knowledge in one of the most impactful technological trendsCreators and innovators who want to explore how AI can enhance creativity and productionWhy This Course?Beginner-Friendly: No prior AI knowledge required-this course explains complex topics in easy-to-understand language.Comprehensive & Current: Covers everything from foundational AI concepts to the cutting-edge developments in Generative AI.Real-World Examples: See how AI is being used in applications today and how you can apply it in your own work.Future-Oriented: Understand the trends that will shape the future of AI and the skills you'll need to stay ahead.Enroll Now:Take your first step into the future of AI and transform how you think about technology. Whether you're looking to understand AI for personal interest or want to apply it professionally, this course will give you the skills and insights you need.Thanks.Steve BallingerUdemy Instructor PartnerFAQWhat is Artificial Intelligence (AI)? AI refers to the simulation of human intelligence by machines. This can include problem-solving, learning, reasoning, understanding language, and even visual perception. AI systems don't "think" like humans but are designed to mimic human capabilities through data processing. For instance, when you use Google Maps for directions, it uses AI to analyze traffic data and recommend the best route.How does AI differ from regular computer programs? Traditional programs follow a set of pre-written instructions to perform tasks, meaning they can't adapt or change based on new data. AI, on the other hand, can learn from the information it's given and adapt its behavior. For example, a basic calculator performs the same function every time, while AI like Netflix's recommendation engine changes based on what you've watched and what similar users enjoy.What are some everyday examples of AI? AI is deeply integrated into our daily lives, often in ways we don't notice. Some examples include:Search engines like Google, which use AI to provide relevant results.Spam filters in email accounts, which learn over time to detect unwanted messages.Voice assistants like Siri or Alexa, which understand and respond to spoken commands.Streaming platforms like Netflix or Spotify, which suggest movies or music based on past behavior.What is Generative AI? Generative AI refers to algorithms that can create new content based on patterns they've learned from existing data. Unlike AI that only analyzes data, Generative AI can produce new text, images, music, and even code. For example, when you ask ChatGPT to write a poem, it's generating new text based on its understanding of language from all the text it has been trained on. How is Generative AI different from other types of AI? Most AI is designed for analysis or decision-making, like predicting whether an email is spam or not. Generative AI is different because it creates something new. For example, if you give it a sentence, it can continue the sentence, or if you describe a scene, it can generate an image. It's more creative in nature, which is why it's used for tasks like writing, designing, or composing music.What does "generating" mean in the context of Generative AI? In Generative AI, "generating" means producing new content that wasn't there before. The AI doesn't just repeat or copy existing data-it uses what it's learned to create original outputs. For example, if you ask a Generative AI to generate a painting of a sunset, it won't pull an image from the internet but will create a new image based on its understanding of how sunsets typically look.How does Generative AI work in simple terms? Generative AI works by learning patterns from large amounts of data. It doesn't understand things the way humans do, but it can mimic human creativity by recognizing how pieces of data (words, pixels, sounds) are typically structured. It's like learning how to write by reading many books-it doesn't understand the meaning of the words but knows how they fit together. 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Free Download Linkedin - Artificial Intelligence and Application Security Released 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Beginner | Genre: eLearning | Language: English + srt | Duration: 50m | Size: 168 MB Artificial intelligence is changing application security in three significant and exciting ways: how hackers conduct attacks, how application security professionals operate daily, and how the software and learning models supporting artificial intelligence are also targets for hacking. In this course, Caroline Wong describes each of these aspects to help you understand how to differentiate between the different use cases, as well as identify how each applies to your specific organization. Caroline also shares key takeaways and practical actions that you can use in your daily lives as you personally interact with AI and applications. Homepage https://www.linkedin.com/learning/artificial-intelligence-and-application-security TakeFile https://takefile.link/yf14aec9v0o1/qyfza.Artificial.Intelligence.and.Application.Security.rar.html Rapidgator https://rg.to/file/d8003381a983863d4e1a7e0ef80a50d2/qyfza.Artificial.Intelligence.and.Application.Security.rar.html Fikper Free Download https://fikper.com/TttUZlGL0p/qyfza.Artificial.Intelligence.and.Application.Security.rar.html No Password - Links are Interchangeable

Free Download Master Program In Machine Learning & Artificial Intelligence Published 9/2024 Created by IIBM Institute of Business Management MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 20 Lectures ( 28h 13m ) | Size: 16.2 GB Advanced study in ML/AI: algorithms, deep learning, NLP, ethics, big data, hands-on projects, and research opportunities What you'll learn: Foundations of AI & ML Machine Learning Algorithms Data Analytics Business Analysis Data Science with R SQL Database Data Science with Python Deep Learning Natural Language Processing Data Visualization Using Tableau Big Data Requirements: Fresh Graduates/ Diploma in any discipline or equivalent with minimum 1 Year of working Professionals Description: The Master's program in Machine Learning and Artificial Intelligence offers an extensive curriculum designed to provide students with both theoretical knowledge and practical skills in these rapidly evolving fields. The program begins with foundational coursework in mathematics and programming, covering essential topics such as linear algebra, calculus, probability, and advanced programming techniques. Core courses delve into machine learning algorithms, including supervised and unsupervised learning methods, neural networks, and deep learning techniques.Students explore natural language processing (NLP) to understand and develop systems for text and speech analysis, and computer vision for interpreting visual data. The program also addresses the ethical implications of AI, focusing on issues like fairness, bias, and societal impact.Hands-on experience is a key component, with opportunities for practical projects, internships, and a research thesis or capstone project that allows students to apply their knowledge to real-world challenges. With a focus on both theoretical understanding and practical application, graduates are prepared for careers in data science, AI research, and machine learning engineering. The program typically spans 1 to 2 years and offers online study options, with some programs available online from IIBM Institute.Advanced study in ML/AI: algorithms, deep learning, NLP, ethics, big data, hands-on projects, and research opportunities. 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Free Download Launch Your Business Using Artificial Intelligence (Ai) Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.53 GB | Duration: 2h 15m Launch Your Business with AI: A Step-by-Step Guide to Success What you'll learn Utilize AI tools: Learn to leverage free AI resources like ChatGPT to streamline business launch processes and reduce costs. Ensure compliance: Understand how to use AI to navigate and meet business compliance requirements efficiently Boost social media: Master AI-driven strategies to create and manage effective social media campaigns. Build websites: Develop skills to design and launch a professional website using AI tools without needing expensive designers. develop business plans, saving on consultancy fees and reducing planning time. Learn AI for social media management, cutting down on marketing costs and increasing engagement efficiently. Requirements business Entrepreneaur Description Unlock the power of Artificial Intelligence to launch your business idea with minimal costs and maximum efficiency. This comprehensive course is designed for entrepreneurs who want to leverage free AI tools, such as ChatGPT, to handle tasks traditionally managed by expensive consultants and designers.From compliance and social media to website creation, you'll learn how to supercharge every aspect of your business using AI. Our step-by-step guide will walk you through the entire process, ensuring you have the knowledge and skills to successfully launch your business idea without breaking the bank.What You'll Learn:How to use AI tools to streamline business operationsHow to launch and promote your business for minimal costs using AICompliance essentials for new businessesCreating and managing social media with AIBuilding and optimizing your website using AI resourcesPractical tips and strategies for cost-effective business launches.Accounting and tax tips for complianceThe benefits of AI and how it is the future of businessOvercome barriers to start-up businessesWhy You Should Enroll TodayCost-Effective Solutions: Learn how to use free AI tools to save on expensive consultancy and design fees.Comprehensive Guidance: Get step-by-step instructions on launching your business, from compliance to marketing.Practical Applications: Gain hands-on experience with AI tools that you can immediately apply to your business.Stay Ahead of the Curve: Equip yourself with cutting-edge AI knowledge to stay competitive in today's market.Supportive Community: Join a network of like-minded entrepreneurs and receive ongoing support and feedback.Join us and transform your business idea into reality with the power of AI! Overview Section 1: Introduction Lecture 1 Logo creation Lecture 2 Social media Lecture 3 Create a Website using AI Lecture 4 Opening a company- Companies house Lecture 5 Profile picture resize for Social media Lecture 6 Opening Social media accounts Section 2: Accounting Lecture 7 Opening your company- selecting a name Lecture 8 Confirmation statement Aspiring entrepreneurs looking to start a business with minimal investment.,Small business owners aiming to reduce operational costs and improve efficiency.,Tech enthusiasts who want to explore practical applications of AI in business.,Freelancers and consultants interested in leveraging AI to enhance their service offerings. Homepage https://www.udemy.com/course/ai_for_business/ Rapidgator https://rg.to/file/6824102854a990f891e82341f848dd16/zwndq.Launch.Your.Business.Using.Artificial.Intelligence.Ai.part1.rar.html https://rg.to/file/1b51b88e81e5c2564e74273ed75b2a17/zwndq.Launch.Your.Business.Using.Artificial.Intelligence.Ai.part2.rar.html https://rg.to/file/421ebf6b5d60a0fa9110774511dae23f/zwndq.Launch.Your.Business.Using.Artificial.Intelligence.Ai.part3.rar.html Fikper Free Download https://fikper.com/K3F9w4VWCT/zwndq.Launch.Your.Business.Using.Artificial.Intelligence.Ai.part1.rar.html https://fikper.com/5diT2WlW9K/zwndq.Launch.Your.Business.Using.Artificial.Intelligence.Ai.part2.rar.html https://fikper.com/Cn7QEvMrBB/zwndq.Launch.Your.Business.Using.Artificial.Intelligence.Ai.part3.rar.html No Password - Links are Interchangeable

Free Download Udemy - Artificial Intelligence In Logistics Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 8.01 GB | Duration: 3h 16m Transforming Logistics with AI: Efficiency, Forecasting, and Automation What you'll learn Differentiate between various AI techniques, including supervised and unsupervised learning, reinforcement learning, and deep learning. Explore the current and potential applications of AI in logistics, such as demand forecasting, inventory management, and transportation optimization Discuss ethical considerations and potential biases in AI applications within logistics Investigate emerging trends and future directions in AI for logistics, such as autonomous vehicles, drones, and blockchain technology Define artificial intelligence (AI) and explain its fundamental principles. Explore various AI applications in logistics, such as warehouse automation, route planning, demand forecasting, and customer service. Examine real-world examples and case studies of AI implementations in logistics. Analyze the key benefits of using AI in logistics, including improved efficiency, cost reduction, enhanced decision-making, and innovation. Requirements Our course is designed to be accessible to a wide range of learners, from beginners to experienced professionals. Description The "AI in Logistics: Revolutionizing Supply Chain Management" course is your gateway to mastering artificial intelligence integration in the logistics industry. This comprehensive course delves into a wide array of applications and scenarios, from optimizing warehouse operations and route planning to enhancing demand forecasting and improving customer service. You'll explore AI technologies such as machine learning, natural language processing, and robotics, and learn how these can transform logistics processes, leading to increased efficiency and reduced costs. The course is designed to address real-world challenges and ethical considerations, ensuring you are well-equipped to implement AI effectively and responsibly.The course content is structured to provide both theoretical knowledge and practical skills. You will engage with interactive modules, case studies, and hands-on projects that illustrate AI's transformative impact on logistics. Topics include predictive analytics for demand forecasting, AI-driven warehouse automation, and intelligent route planning. Additionally, you'll learn about the latest advancements in AI and how they can be leveraged to create competitive advantages in the logistics sector.Whether you are a logistics professional aiming to enhance operational efficiency, a business leader seeking strategic advantages, or an enthusiast eager to explore AI's potential, this course will provide you with the knowledge and skills needed to succeed in the rapidly evolving logistics landscape. By the end of the course, you will understand how to leverage AI to drive innovation, streamline operations, and enhance decision-making in logistics. You'll also be prepared to lead AI initiatives confidently within your organization, ensuring that you remain at the forefront of industry advancements and can effectively navigate the complexities of AI integration in supply chain management. Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 Benefits of AI Lecture 3 Intro E-Book Lecture 4 Welcome! Lecture 5 About AI Lecture 6 AI & Blockchain Integration Lecture 7 AI & Transportation Management Lecture 8 Importance and Potential Impact of AI in Supply Chains Lecture 9 Integration of AI with other Emerging Technologies Lecture 10 AI Understanding Types of AI in Logistics Lecture 11 Application of AI Lecture 12 Blockchain usage in various industries Lecture 13 Core AI Technologies and Their Applications Lecture 14 Future Applications of AI Lecture 15 Strategic Importance of AI in Logistics Management Lecture 16 Case Studies Lecture 17 Company Deep-Dive Alibaba & FedEx Lecture 18 Company Deep-Dive Amazon vs Walmart Lecture 19 Company Deep-Dive C.H. Robinson Lecture 20 Company Deep-Dive DHL and Maersk Lecture 21 Company Deep-Dive DHL, Amazon, Maersk Lecture 22 Company Deep-Dive DHL Lecture 23 Company Deep-Dive FedEx & Ryder Lecture 24 Company Deep-Dive Flexport and Hamburg Süd Lecture 25 Company Deep-Dive Google's Project Magenta Lecture 26 Company Deep-Dive Lufthansa Cargo & COSCO Lecture 27 Company Deep-Dive Maersk Lecture 28 Company Deep-Dive Navisphere Vision Lecture 29 Company Deep-Dive Rolls-Royce Lecture 30 Company Deep-Dive Siemens, Walmart Lecture 31 Company Deep-Dive UberEats Lecture 32 Company Deep-Dive UPS & Orion Lecture 33 Conclusion Lecture 34 Transform Your Logistics with AI ### Intended Learners for the Relearnx Logistics Course This course is designed for a diverse range of learners who are interested in enhancing their knowledge and skills in logistics and supply chain management. Our course content is valuable for: 1. **Aspiring Logistics Professionals**: - Individuals looking to start a career in logistics and supply chain management, including recent graduates and career changers. 2. **Current Logistics Practitioners**: - Professionals already working in the logistics industry who wish to update their skills and knowledge, especially in sustainable practices and digital technologies. 3. **Business and Management Students**: - Students pursuing degrees in business, management, or related fields who want to gain a deeper understanding of logistics and supply chain operations. 4. **Entrepreneurs and Business Owners**: - Entrepreneurs and small business owners seeking to optimize their logistics processes and adopt sustainable practices to improve efficiency and reduce costs. 5. **Environmental Advocates**: - Individuals passionate about sustainability and environmental conservation who want to learn how logistics can play a role in reducing carbon emissions and promoting green practices. 6. **Corporate Training Parti[beeep]nts**: - Employees parti[beeep]ting in corporate training programs aimed at improving organizational logistics efficiency and sustainability. 7. **Technology Enthusiasts**: - Tech-savvy individuals interested in how digital technologies like AI, IoT, and blockchain are transforming the logistics industry. Our course is designed to be inclusive and accessible, providing valuable insights and practical skills for learners at all levels of experience and from various professional backgrounds. 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Free Download AWS Maching Learning and Artificial Intelligence Fundamentals Released 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 23m | Size: 99 MB Artificial intelligence (AI) and machine learning (ML) are two of the most transformative technologies driving innovation today. This course will teach you the essentials of AI and ML. You probably already know that artificial intelligence (AI) and machine learning (ML) are at the forefront of transforming technology as we know it. In this course, AWS Machine Learning and Artificial Intelligence Fundamentals, you'll gain a foundational understanding of AI and ML. First, you'll explore what AI is and how it relates to ML. Next, you'll delve into ML and unpack the end-to-end machine learning process. Finally, you'll learn about the key AI and ML services offered by AWS. When you're finished with this course, you'll have the skills and knowledge of AI and ML needed to advance your career in cloud computing and data science. Homepage https://app.pluralsight.com/library/courses/aws-ml-ai-introduction/table-of-contents TakeFile https://takefile.link/72lqcmdfwzl3/lmrsp.AWS.Maching.Learning.and.Artificial.Intelligence.Fundamentals.rar.html Rapidgator https://rg.to/file/09dd441750de53317263ce104325e535/lmrsp.AWS.Maching.Learning.and.Artificial.Intelligence.Fundamentals.rar.html Fikper Free Download https://fikper.com/70aoin0l3P/lmrsp.AWS.Maching.Learning.and.Artificial.Intelligence.Fundamentals.rar.html No Password - Links are Interchangeable

Free Download ISO/IEC 42001: Artificial Intelligence Management System Published 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 39m | Size: 531 MB Master AI Governance with ISO/IEC 42001: Artificial Intelligence Management System Certification What you'll learn Implement the ISO/IEC 42001 AI Management System framework. Identify and mitigate AI-related risks effectively. Develop AI governance strategies aligned with global standards. Conduct audits to ensure compliance with AI management protocols. Requirements Basic understanding of artificial intelligence concepts. No prior experience with ISO standards required. Interest in AI governance, compliance, and risk management. Description ISO/IEC 42001: Artificial Intelligence Management System is a comprehensive course designed for professionals looking to implement and manage AI systems effectively within their organizations. This course covers the essential framework of ISO/IEC 42001, the international standard for Artificial Intelligence Management Systems (AIMS), ensuring organizations can leverage AI technologies responsibly and efficiently.By the end of this course, you'll gain a thorough understanding of how to align AI initiatives with ISO/IEC 42001 standards, enabling compliance, improving operational efficiency, and managing AI risks. The course explores key topics such as AI governance, risk management, data privacy, ethical AI principles, and the importance of transparency and accountability in AI deployments.Ideal for IT managers, AI developers, data scientists, compliance officers, and decision-makers, this course equips you with the knowledge needed to implement AI systems that meet the highest industry standards. Learn step-by-step processes for auditing, assessing, and improving AI strategies while staying compliant with ISO/IEC 42001 requirements.With practical examples and actionable insights, this course empowers professionals to create robust AI management frameworks. Stay ahead in the evolving AI landscape by mastering the critical elements of ISO/IEC 42001. Enroll today to ensure your organization thrives in the age of AI by adopting best practices in AI management. Who this course is for IT managers and AI developers seeking AI management skills. Compliance officers interested in AI governance. Business leaders looking to implement AI responsibly. Data scientists aiming to integrate AI within global standards. Homepage https://www.udemy.com/course/isoiec-42001-artificial-intelligence-management-system-s/ Rapidgator https://rg.to/file/4d54be83ff0e4c20c35fc97fe9d489b0/dohsy.ISOIEC.42001.Artificial.Intelligence.Management.System.rar.html Fikper Free Download https://fikper.com/n1ZbZi06RO/dohsy.ISOIEC.42001.Artificial.Intelligence.Management.System.rar.html No Password - Links are Interchangeable

Free Download Artificial Intelligence (Ai) For Beginners 2024 Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.12 GB | Duration: 0h 54m You are going to learn the basics of artificial intelligence with different concepts What you'll learn You are going to learn various concepts of AI You are going to learn learn the various types models in AI You are going to learn Architecture of AI You are going to learn various concepts of comparations of AI Requirements You need to have internet to take this course Description Artificial intelligence refers to the development of computer systems capable of performing tasks that typically require human intelligence. These tasks include reasoning, learning, problem-solving, understanding language, and perceiving environments. AI encompasses a wide range of techniques and applications, from simple algorithms to complex systems capable of mimicking human cognition.AI can be categorized into two main types: narrow AI and general AI. Narrow AI, or weak AI, is designed to perform specific tasks, such as voice assistants, recommendation algorithms, and self-driving cars. General AI, or strong AI, refers to systems that possess the ability to perform any intellectual task that a human can do, although this level of AI remains theoretical at present. The potential benefits of AI are vast, ranging from healthcare innovations, such as early disease detection, to automating tedious tasks, which can increase productivity and efficiency. However, AI also raises ethical concerns, such as job displacement, privacy violations, and the development of autonomous weapons. The creation of AI systems that are transparent, accountable, and aligned with human values is critical for ensuring that AI is used responsibly.AI represents a transformative technology with the potential to revolutionize industries and improve quality of life. As it continues to evolve, understanding its core principles and societal impact is essential for harnessing its full potential while mitigating associated risks. Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 Comparation Chart Lecture 3 Various types of models Lecture 4 Lambda functions Lecture 5 Architecture of Resources in AI Lecture 6 RAG basics in AI Lecture 7 Resources to learn If you want to learn with detailed examples for every concept, this course will be for you Homepage https://www.udemy.com/course/masterbeginners/ Rapidgator https://rg.to/file/211ef888d477d4d482e73696544e7a8b/jpejj.Artificial.Intelligence.Ai.For.Beginners.2024.part1.rar.html https://rg.to/file/ce11404865290ef22cf4194c9b4006ea/jpejj.Artificial.Intelligence.Ai.For.Beginners.2024.part2.rar.html Fikper Free Download https://fikper.com/41StarkL4g/jpejj.Artificial.Intelligence.Ai.For.Beginners.2024.part1.rar.html https://fikper.com/AK11quP319/jpejj.Artificial.Intelligence.Ai.For.Beginners.2024.part2.rar.html No Password - Links are Interchangeable

Free Download Artificial Intelligence Creating Video From Photo Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 128.62 MB | Duration: 0h 31m Artificial Intelligence Creating Video From Photo-Generative Artificial Intelligence What you'll learn Business Models that can be done with Artificial Intelligence Active or Passive Income Generation Systems with Artificial Intelligence Studies Voice Cloning With Artificial Intelligence Artificial Intelligence Creating Video From Photo Content Production with Artificial Intelligence Business Models That Can Be Made By Artificial Intelligence Voice Cloning Business Models That Can Be Made By Artificial Intelligence Creating Video From Photo Requirements Beginner Level Description EducationArtificial Intelligence Creating Video From Photo-Generative Artificial IntelligenceIt is planned in 3 sections and 14 titles.Section OneIntroduction1-Introduction Generative Artificial IntelligenceSection TwoArtificial Intelligence Creating Video From Photo2-Which Artificial Intelligence Platforms Will Be Used Generative Artificial Intelligence3-Introduction To Artificial Intelligence Platform-Platform I Generative Artificial Intelligence4-In Which Languages Voice Cloning Can Be Performed Generative Artificial Intelligence5-Which Section Will Be Used To Clone Voice In Different Languages Generative Artificial Intelligence6-How To Clone Your Own Voice Generative Artificial Intelligence7-How To Clone The Voice Of Famous People Workspace I Generative Artificial Intelligence8-How To Download Voice Clones Generative Artificial Intelligence9-Introduction To Artificial Intelligence Platform-Platform II Generative Artificial Intelligence10-How To Use Photo Angles To Use Artificial Intelligence From Photo To Video Generative Artificial Intelligence11-How To Make Artificial Intelligence From Photo To Video Workspace I Generative Artificial Intelligence12-How To Make Artificial Intelligence From Photo To Video Workspace II Generative Artificial IntelligenceSection ThreeWhat Are The Benefits Of Artificial Intelligence13-Producing Highly Interactive Content For Social Media Accounts Generative Artificial Intelligence14-Monetisation Of Work Generative Artificial IntelligenceOur training has been planned and prepared within the scope of the above sections Artificial Intelligence Creating Video From Photo-Generative Artificial IntelligenceWe wish success to all our parti[beeep]ting students. F.E AcademyAtacbala Overview Section 1: Introduction Lecture 1 Introduction Section 2: Artificial Intelligence Creating Video From Photo Lecture 2 Which Artificial Intelligence Platforms Will Be Used Lecture 3 Introduction To Artificial Intelligence Platform-Platform I Lecture 4 In Which Languages Voice Cloning Can Be Performed Lecture 5 Which Section Will Be Used To Clone Voice In Different Languages Lecture 6 How To Clone Your Own Voice Lecture 7 How To Clone The Voice Of Famous People Workspace I Lecture 8 Voice Clon Example 1 Lecture 9 Voice Clon Example 2 Lecture 10 Voice Clon Example 3 Lecture 11 Voice Clon Example 4 Lecture 12 Voice Clon Example 5 Lecture 13 Voice Clon Example 6 Lecture 14 How To Download Voice Clones Lecture 15 Introduction To Artificial Intelligence Platform-Platform II Lecture 16 How To Use Photo Angles To Use Artificial Intelligence From Photo To Video Lecture 17 How To Make Artificial Intelligence From Photo To Video Workspace I Lecture 18 How To Make Artificial Intelligence From Photo To Video Workspace II Section 3: What Are The Benefits Of Artificial Intelligence Lecture 19 Producing Highly Interactive Content For Social Media Accounts Lecture 20 Monetisation Of Work Those Interested in Artificial Intelligence Programmes,Those who want to produce content with Artificial Intelligence,Those Interested in Artificial Intelligence Technologies,Voice Cloning with Artificial Intelligence,Creating Video From Photo Video with Artificial Intelligence Homepage https://www.udemy.com/course/artificial-intelligence-creating-video-from-photo/ Rapidgator https://rg.to/file/778a3edd0b80a329c509bf576f3a8f58/nzico.Artificial.Intelligence.Creating.Video.From.Photo.rar.html Fikper Free Download https://fikper.com/u5bUYD[beeep]E/nzico.Artificial.Intelligence.Creating.Video.From.Photo.rar.html No Password - Links are Interchangeable

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Free Download Jerry Kaplan, Jonathan Yen (Narrator), "Generative Artificial Intelligence: What Everyone Needs to Know ®" English | ASIN: B0D6GWGXH2 | 2024 | MP3@64 kbps | ~09:22:00 | 257 MB Advances in Generative Artificial Intelligence (GAI) have created a new class of computer systems that exhibit astonishing proficiency on a wide variety of tasks with superhuman performance, producing novel text, images, music, and software by analyzing enormous collections of digitized information. Soon, these systems will provide expert medical care; offer legal advice; draft documents; write computer programs; tutor our children; and generate music and art. These advances will accelerate progress in science, art, and human knowledge, but they will also bring new dangers. Have we finally discovered the holy grail of AI-machines that match or exceed human intelligence? Which industries and professions will thrive, and which will wither? What risks and dangers will it pose? How can we ensure that these systems respect our ethical principles? Will the benefits be broadly distributed or accrue to a lucky few? How will GAI alter our political systems and international conflicts? Are we merely a stepping stone to a new form of non-biological life, or are we just getting better at building useful gadgets? Generative Artificial Intelligence: What Everyone Needs to Know® equips listeners with the knowledge to answer these pressing questions. Rapidgator https://rg.to/file/aa3acedda66f9e7d242669ffafd299f4/bibzy.rar.html Fikper Free Download https://fikper.com/KVkE7fiUzw/bibzy.rar.html Links are Interchangeable - No Password - Single Extraction

Free Download The Golden Book of Artificial Intelligence: From Fundamentals to Advanced Applications. An Essential Guide for Students and Professionals. by Diego Rodrigues English | June 5, 2024 | ISBN: N/A | ASIN: B0D69XV8GV | 234 pages | EPUB | 1.11 Mb The Golden Book of Artificial Intelligence: From Fundamentals to Advanced Applications is an essential work for students and professionals who want to master the technological revolution that is transforming the world. Written by Diego Rodrigues, one of the leading global authors in AI, this comprehensive guide offers an in-depth immersion into the concepts, techniques, and applications of Artificial Intelligence. From the History and Evolution of AI to Future Trends, each chapter has been carefully crafted to provide a clear and detailed understanding. You will learn about the Fundamentals of AI, including the necessary mathematical and statistical foundations, and explore Supervised and Unsupervised Learning Algorithms, essential for developing robust predictive models. This book is not just a collection of theories; it is filled with practical applications demonstrating how AI is being used to solve real-world problems in sectors such as healthcare, finance, manufacturing, and more. Discover how Artificial Neural Networks and Deep Learning are revolutionizing the way we interact with technology, from image recognition to natural language processing. Additionally, we cover crucial topics such as Ethics and AI, ensuring that you understand the social and moral implications of using this powerful technology. The section on Challenges and Opportunities offers a strategic view of the future of AI, preparing you for the advances and new frontiers that lie ahead. Why is this book indispensable? - Comprehensive: Covers all important aspects of AI, from theoretical foundations to advanced applications. - Practical: Provides real-world examples and use cases that facilitate the understanding and application of concepts. - Up-to-date: Reflects the latest trends and innovations, keeping you at the forefront of technology. - Educational: Written in clear and accessible language, with engaging storytelling that makes learning enjoyable. Whether you are a student beginning your journey in AI or a professional seeking to deepen your knowledge, this book is the definitive tool to achieve your goals. Get it now and transform your understanding of Artificial Intelligence! Rapidgator https://rg.to/file/0d7b2d16bc46a7f29dcb1c62679514dd/zbxxm.rar.html Fikper Free Download https://fikper.com/R1uZgFL6Yu/zbxxm.rar.html Links are Interchangeable - No Password - Single Extraction