Uplinker Courses2024 6 Opublikowano Czwartek o 11:58 Uplinker Zgłoś Share Opublikowano Czwartek o 11:58 Free Download Udemy - The Complete Generative Ai Guide For Beginners Published 5/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.69 GB | Duration: 2h 5m Master AI tools & workflows-learn ChatGPT, image & video generation, ethics, and real-world applications. What you'll learn Understand the basics of generative AI, including neural networks, machine learning, and deep learning fundamentals. Learn how generative models work, such as GANs, VAEs, and transformers. Explore practical applications of generative AI, including text generation, image creation, audio synthesis, and video production. Gain hands-on experience using popular generative AI tools such as ChatGPT, DALL·E, Midjourney, and RunwayML. Recognize ethical and social implications, including bias, misinformation, privacy, and responsible AI practices. Requirements A desire to learn No previous experience is required Description Unlock the power of Generative AI-no prior experience required! This beginner-friendly course is your step-by-step guide to understanding and applying the latest AI technologies, from text generation with ChatGPT to image creation, video tools, and beyond.You'll start with the fundamentals of how generative AI works, explore popular tools and platforms, and get hands-on experience building simple AI applications. Along the way, we'll cover key topics like neural networks, model training, ethics, and emerging trends to give you a well-rounded understanding of the field.Whether you're an entrepreneur, content creator, student, or tech enthusiast, this course will equip you with the practical skills and confidence to use generative AI effectively.What you'll learn:The basics of generative AI and how it worksPopular AI tools for text, images, audio, and videoHow to build and fine-tune simple AI modelsApplications in business, marketing, and creative artsEthical considerations, bias, and AI safetyFuture trends and advanced AI techniquesCourse features:Step-by-step video lessonsHands-on demos and real-world examplesQuizzes to reinforce your learningFinal project: Create your own generative AI applicationBy the end of this course, you'll have the knowledge and skills to confidently explore and build with generative AI-bringing your creative and business ideas to life. Overview Section 1: Introduction To Generative AI Lecture 1 What Is Generative AI? Lecture 2 History And Evolution of AI Lecture 3 Key Concepts: Neural Networks, Machine Learning, Deep Learning Lecture 4 Real-World Examples: Chatbots, Image Generators, Music Composition Section 2: Understanding Neural Networks and Machine Learning Lecture 5 Basics of Neural Networks Lecture 6 Supervised vs. Unsupervised Learning Lecture 7 Deep Learning and Generative Models Lecture 8 Overview of GANs , VAEs, and Transformers Section 3: Generative AI Tools and Platforms Lecture 9 Popular Tools: OpenAI (ChatGPT, DALL·E), Midjourney, RunwayML Lecture 10 Hands-on Demo: Generating Text, Images, and Videos Lecture 11 Setting Up AI Tools (Installation and Configuration) Section 4: Applications of Generative AI Lecture 12 Content Creation: Text, Images, and Videos Lecture 13 Business Use Cases: Marketing, Customer Support, Automation Lecture 14 Creative Arts: Music, Design, and Storytelling Lecture 15 Case Studies of Successful AI Implementations Section 5: Building AI Models from Scratch Lecture 16 Step-by-Step Guide to Training a Simple AI Model Lecture 17 Collecting and Preprocessing Data Lecture 18 Training and Fine-Tuning Models Lecture 19 Evaluating Model Performance Section 6: Ethics and Bias in Generative AI Lecture 20 Ethical Considerations: AI Safety, Misinformation, and Deepfakes Lecture 21 Understanding Bias and Ensuring Fairness Lecture 22 Legal and Social Implications of Generative AI Lecture 23 Responsible AI Development Practices Section 7: Advanced Techniques and Future Trends Lecture 24 Fine-Tuning Large Language Models (LLMs) Lecture 25 Multimodal AI: Combining Text, Images, and Audio Lecture 26 Reinforcement Learning and Self-Supervised Learning Lecture 27 Emerging Trends: AI Agents, Personalized AI, and Synthetic Media Section 8: Final Project: Create Your Own Generative AI Application Lecture 28 Choose a Domain: Text, Image, Audio, or Video Lecture 29 Develop and Demonstrate Your AI Application Lecture 30 Submit a Project Report with Code and Results Beginners who want to understand generative AI and its applications, even without a technical background.,Content creators, marketers, and designers seeking to harness AI tools to improve their creative workflows.,Entrepreneurs and business professionals who want to leverage generative AI for innovative business solutions.,Students and professionals curious about the capabilities and ethical considerations surrounding AI technology. 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