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Free Download Udemy - Python Coding With Artificial Intelligence Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 3.94 GB | Duration: 2h 20m Master the Art of Vibe Coding, the AI-Powered Programming Through Storytelling and Role Play What you'll learn Learn how to code in Python with Artificial Intelligence Learn the basics of Vibe Coding with AI Learn how to create Python scripts without writing a single line of code Understanding the methodology to craft Vibe prompts to lead AI in Code writing Requirements No previous skills required, just passion about AI and software development Description Dive into the immersive world of 'Python Vibe Coding' where learning becomes an adventure. In this unique course, you'll become the protagonist of a retro-futuristic techno-thriller set against the mysterious disappearance of a nuclear research facility in 1962. As you progress through the storyline, you'll master the art of crafting effective Vibe Prompts in Python to solve puzzles, unlock new chapters, and ultimately reveal the truth behind the vanished facility. Each module blends narrative storytelling with practical coding challenges, teaching you how to communicate with AI in natural language to generate functional Python code. You'll learn to think like a programmer while speaking like a storyteller, developing skills in prompt engineering that translate directly to real-world programming scenarios. This isn't just a coding course-it's an interactive experience where your prompting skills determine the outcome of the mystery. By the end, you'll have built a portfolio of Python applications while uncovering the secrets of the past through the power of your words. By the end of this course, you will gain the key skills to craft simple Vibe prompts by yourself to generate end-to-end programs on your computer, living a unique experience of storytelling and learning through practical examples the best way to craft effective Vibe prompts to lead the artificial intelligence in the realm of Python code writing. Everyone interested in using Artificial Intelligence for software development in Python Homepage: https://www.udemy.com/course/vibe-coding-in-python-for-beginners/ [b]AusFile[/b] https://ausfile.com/oteksh7k2025/kzgnl.Python.Coding.With.Artificial.Intelligence.part1.rar.html https://ausfile.com/02dlfdglrg59/kzgnl.Python.Coding.With.Artificial.Intelligence.part2.rar.html https://ausfile.com/7l7xbr3bl2sm/kzgnl.Python.Coding.With.Artificial.Intelligence.part3.rar.html https://ausfile.com/xi09w3h0jlii/kzgnl.Python.Coding.With.Artificial.Intelligence.part4.rar.html https://ausfile.com/lh486k33693v/kzgnl.Python.Coding.With.Artificial.Intelligence.part5.rar.html Rapidgator https://rg.to/file/cc75f18255158b885aa63651d7ffb2db/kzgnl.Python.Coding.With.Artificial.Intelligence.part1.rar.html https://rg.to/file/a2edc423406b534ba91c5d6060c8daf2/kzgnl.Python.Coding.With.Artificial.Intelligence.part2.rar.html https://rg.to/file/1a96f6f72a9273cf542feb65b16cc935/kzgnl.Python.Coding.With.Artificial.Intelligence.part3.rar.html https://rg.to/file/e070220cc46e0cb4ec6a7ffcd24050c9/kzgnl.Python.Coding.With.Artificial.Intelligence.part4.rar.html https://rg.to/file/c021e56a19454cb162caccd1e5588417/kzgnl.Python.Coding.With.Artificial.Intelligence.part5.rar.html Fikper Free Download https://fikper.com/bcqrIaIyl1/kzgnl.Python.Coding.With.Artificial.Intelligence.part1.rar.html https://fikper.com/IFxLgQ8ZjD/kzgnl.Python.Coding.With.Artificial.Intelligence.part2.rar.html https://fikper.com/hkcU2EbspJ/kzgnl.Python.Coding.With.Artificial.Intelligence.part3.rar.html https://fikper.com/7Y3PqBjHA4/kzgnl.Python.Coding.With.Artificial.Intelligence.part4.rar.html https://fikper.com/qv0UAhJaDs/kzgnl.Python.Coding.With.Artificial.Intelligence.part5.rar.html No Password - Links are Interchangeable

Free Download The Artificial Intelligence in Human Resources Playbook Published: 3/2025 Created by: Jeffrey Giacoponello MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English | Duration: 60 Lectures ( 4h 10m ) | Size: 1.61 GB The AI in HR Playbook with Villanova University Professor of Human Resources, Jeffrey Giacoponello. What you'll learn Understand the Fundamentals of AI in HR Explore AI-Driven Recruitment and Talent Acquisition Leverage Predictive Analytics for Strategic HR Decisions Enhance Employee Wellness and Retention with AI Transform Performance Management Through AI Improve Employee Engagement Using Sentiment Analysis Develop a Future-Ready Workforce with AI-Powered Skill Assessment Navigate Ethical Considerations in AI Implementation Integrate AI into Existing HR Systems and Workflows Forecast the Future Impact of AI on HR Requirements Familiarity with HR Functions Comfort with Technology Interest in Innovation in HR Description AI has become a game-changer in HR by automating repetitive tasks, enhancing decision-making, and improving employee engagement. This course explores the profound impact of artificial intelligence (AI) on modern HR practices. It delves into how AI is transforming recruitment, employee engagement, performance management, and workforce development by automating processes, enhancing decision-making, and improving efficiency. Students will learn how AI-driven tools streamline hiring through automated resume screening, candidate sourcing, and predictive analytics, helping organizations make more data-driven talent decisions. The paper also discusses AI's role in employee wellness, using sentiment analysis and behavioral data to detect burnout risks, enhance retention strategies, and create personalized career development paths. AI-powered performance management tools ensure real-time feedback, unbiased evaluations, and continuous learning opportunities, enabling employees to grow while aligning with business goals. Additionally, the course highlights the importance of predictive analytics in workforce planning, allowing HR teams to anti[beeep]te turnover risks and optimize succession planning. Ethical considerations such as AI bias, data privacy, and transparency are also addressed, ensuring responsible AI implementation. By the end of the playbook, students will have a deep understanding of AI's potential to reshape HR, making it more strategic, personalized, and efficient, ultimately driving business success and employee satisfaction. Who this course is for HR Professionals and Practitioners HR Leaders and Decision-Makers Learning and Development Professionals Business Leaders Interested in Talent Strategies Technology and Data Professionals in HR Consultants and Advisors in HR Homepage: https://www.udemy.com/course/ai-playbook/ Rapidgator https://rg.to/file/2fddb57f2e597d5abcd1752580d0eaa7/nazxp.The.Artificial.Intelligence.in.Human.Resources.Playbook.part1.rar.html https://rg.to/file/fcadb9fbc6cc52d9c0c880e06931decd/nazxp.The.Artificial.Intelligence.in.Human.Resources.Playbook.part2.rar.html Fikper Free Download https://fikper.com/MXFY65e9bG/nazxp.The.Artificial.Intelligence.in.Human.Resources.Playbook.part1.rar.html https://fikper.com/wWHafNXLZc/nazxp.The.Artificial.Intelligence.in.Human.Resources.Playbook.part2.rar.html No Password - Links are Interchangeable

Free Download Udemy - Artificial Intelligence - earn AI & use AI tools Published: 3/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 2h 50m | Size: 1.79 GB AI Beginner Guide: Understand AI and Learn how to leverage it to transform your career and your business. What you'll learn Understand what AI is Understand why everyone is talking about AI See how AI can help you How to use essential AI tools How to use AI to boost productivity How to stay ahead in the AI era Requirements No prior knowledge is needed - This course is designed for beginners Description AI is the biggest technological shift since the internet. So, future-proof your career and business with this course!The goal of this course is simple: to help you understand AI, why it's taking over, and how you can use it to your advantage.Why is everyone talking about AI?How can you leverage it?How can you future-proof your career?How can you stay ahead of the curve?How do you actually use AI tools?By the end of this course, you'll have clear answers to all these questions.So, who am I?My name is Logan Tennex, and I'm an AI consultant and the founder of Tennex Agency.For the past three years, I've been helping businesses strategically implement AI. Now, my mission is to help individuals leverage AI, because I believe AI isn't just for companies, it's for everyone.And let's be honest: neither businesses nor individuals really have a choice anymore. AI is happening, and adapting to it is no longer optional.But here's the good news-we're at a unique turning point. Right now, you have the chance to lead the AI race instead of struggling to keep up.As someone who talks with business owners every day, I can tell you this: the train hasn't left the station yet. Companies are not leveraging AI enough, and individuals are not yet required to know AI.But at the speed AI is evolving, that won't be the case in five years.Seize this opportunity now, and your future self will thank you.Where did I learn?I first learned on my own, diving deep into AI through self-study and experimentation. Then, I formalized my knowledge by enrolling in programs from institutions like Oxford University, Harvard Business School, and MIT, further refining my expertise in AI. Who this course is for This course is for professionals, entrepreneurs, students, and anyone curious about AI. Homepage: https://www.udemy.com/course/artificial-intelligence-learn-ai-use-ai-tools/ Rapidgator https://rg.to/file/a4ddc2d87c1be45b4e29c65ae6ee4551/gucpq.Artificial.Intelligence.Learn.AI..use.AI.tools.part1.rar.html https://rg.to/file/15ee0996ba4bc6b4c1a3f8b664f8a54c/gucpq.Artificial.Intelligence.Learn.AI..use.AI.tools.part2.rar.html Fikper Free Download https://fikper.com/2NhkzGyvY6/gucpq.Artificial.Intelligence.Learn.AI..use.AI.tools.part1.rar.html https://fikper.com/97OrXVhfGE/gucpq.Artificial.Intelligence.Learn.AI..use.AI.tools.part2.rar.html No Password - Links are Interchangeable

Free Download Udemy - Artificial Intelligence Governance Professional (AIGP) Published: 3/2025 Created by: Pavan Kumar,Avnish Singh MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 78 Lectures ( 3h 48m ) | Size: 2.46 GB Master AI Governance, Ethics & Compliance | AIGP Certification | AI Risk Management & Responsible AI Practices What you'll learn Policy Makers - Develop AI governance frameworks that align with legal and ethical standards. Compliance Officers - Ensure AI systems comply with global regulatory Requirements and industry best practices. Business Executives - Understand the risks and opportunities of AI governance in corporate decision-making. Data Scientists - Implement AI models that adhere to fairness, transparency, and accountability principles. Legal Professionals - Analyze AI-related laws, regulations, and liability concerns in various jurisdictions. Cybersecurity Experts - Mitigate risks related to AI security, data privacy, and adversarial attacks. AI Researchers - Incorporate responsible AI principles into research and development processes. Product Managers - Design AI-driven products with governance, compliance, and ethical considerations in mind. Educators & Trainers - Teach AI governance principles to students and professionals effectively. Investors & Venture Capitalists - Assess AI startups for ethical risks, governance maturity, and regulatory compliance. Requirements No prior experience in AI governance is required-this course covers everything from the basics to advanced topics. A basic understanding of AI, technology, or business operations is helpful but not mandatory. Description Why You Should Take the Artificial Intelligence Governance Professional (AIGP) TrainingIn today's rapidly evolving AI landscape, businesses and institutions need experts in AI Governance, Ethics & Compliance who can evaluate AI systems, curate standards, and implement strategies for adhering to AI regulations.The AIGP Certification training equips professionals with the knowledge and skills to develop, integrate, and deploy trustworthy AI systems in alignment with emerging laws, policies, and AI risk management frameworks.What you will learn:Master AI Governance, Ethics & Compliance by understanding core AI risks and ethical principles.Explore AI Risk Management strategies to mitigate potential harms and regulatory violations.Learn about different AI technology stacks and their applications.Identify key AI frameworks & policies that govern responsible AI deployment.Understand AI strategy development and implementation of AI governance policies.Assess AI models using risk assessment methodologies and compliance frameworks.Navigate existing and emerging AI laws, including GDPR, the EU AI Act, and liability reform.Study how intellectual property laws, non-discrimination laws, and consumer protection laws apply to AI systems.Gain hands-on insights into governing AI design, data collection, model testing, and deployment decisions.Get Certified and Advance Your CareerMaster the 4 domains of the IAPP AIGP Certification exam with 20+ hours of on-demand video.Prepare for the 2025 AIGP Certification Exam with expert-led training.Understand the technological foundations of AI and its societal impact.Develop a strong foundation in responsible AI governance & risk management frameworks.Stay ahead of AI compliance regulations and best practices for responsible AI deployment.This training is designed for professionals who want to lead in AI governance and ensure compliance with AI laws and ethical standards. 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Free Download Next-Gen Pharmacovigilance With Artificial Intelligence Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.00 GB | Duration: 2h 31m Advancing Drug Safety, Signal Detection, and Risk Management What you'll learn Understand the Fundamentals of AI and Its Impact on Society Gain Insight into the Evolution of Clinical Research Comprehend the Role of Pharmacovigilance in Drug Safety Learn the Process of Pharmacovigilance and ADR Detection Explore Signal Detection Methods in Pharmacovigilance Utilize Argus Software for Advanced Pharmacovigilance Practices Requirements Basic knowledge of AI, data science, or pharmacovigilance is helpful but not required. No special tools are needed-just a laptop with internet access and a willingness to learn. Description In today's fast-evolving pharmaceutical landscape, artificial intelligence is revolutionizing pharmacovigilance, making drug safety monitoring faster, smarter, and more efficient. This course explores the next generation of pharmacovigilance powered by AI, covering key concepts, technologies, and real-world applications.You will learn how AI-driven tools enhance adverse event detection, streamline data analysis, and improve regulatory compliance. Through practical examples and case studies, you'll discover how machine learning, natural language processing, and automation are transforming drug safety. Additionally, you will explore AI's role in signal detection, risk assessment, and predictive analytics to foresee potential safety concerns before they escalate. You'll also gain insights into AI-driven automation of safety reporting and its impact on global regulatory frameworks.This course will provide a comprehensive understanding of AI's capabilities, limitations, and ethical considerations in pharmacovigilance. You will explore the integration of AI with big data, cloud computing, and real-world evidence to optimize drug safety monitoring. Discussions on regulatory guidelines, industry trends, and future developments will prepare you for the evolving landscape of pharmacovigilance.By the end of this course, you will have the knowledge and skills to implement AI-driven solutions in drug safety processes. Whether you're a healthcare professional, regulatory expert, or data scientist, this course will equip you with cutting-edge expertise to stay ahead. With AI-driven pharmacovigilance, drug safety is becoming more proactive, efficient, and data-driven, ultimately improving patient outcomes and global public health. This course is for pharmacovigilance professionals, healthcare experts, and AI enthusiasts looking to apply AI in drug safety. It also suits data scientists and regulatory professionals interested in AI-driven pharmacovigilance. Homepage: https://www.udemy.com/course/next-gen-pharmacovigilance-with-artificial-intelligence/ DOWNLOAD NOW: Next-Gen Pharmacovigilance With Artificial Intelligence Rapidgator https://rg.to/file/cac8567027a1c370a3896ccb1698d260/ariml.NextGen.Pharmacovigilance.With.Artificial.Intelligence.part1.rar.html https://rg.to/file/758910524638457a3cbcdf9b0a0e832f/ariml.NextGen.Pharmacovigilance.With.Artificial.Intelligence.part2.rar.html Fikper Free Download https://fikper.com/LmEO3EaZXe/ariml.NextGen.Pharmacovigilance.With.Artificial.Intelligence.part1.rar.html https://fikper.com/7BGIXdqkKc/ariml.NextGen.Pharmacovigilance.With.Artificial.Intelligence.part2.rar.html No Password - Links are Interchangeable

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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. 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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. 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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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