The Complete Generative Ai Guide For Beginners

[mitsumi]

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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