8 Sections
42 Lessons
8 Hours
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Module 1: Introduction to Generative AI (45 min)
5
1.1
What is Generative AI?
1.2
Difference Between Discriminative and Generative Models
1.3
Evolution of Generative AI: From Rule-Based to Deep Learning
1.4
Applications of Generative AI (Text, Images, Video, Music, Code)
1.5
Ethical Considerations and Bias in Generative AI
Module 2: Setting Up the GenAI Environment (30 min)
4
2.1
Installing TensorFlow, PyTorch, and Hugging Face Transformers
2.2
Introduction to Google Colab for Free GPU Access
2.3
Overview of Key Libraries: transformers, diffusers, langchain
2.4
Hands-on: Setting Up an AI Model for Basic Text Generation
Module 3: Text Generation with Large Language Models (LLMs) (1 Hour 15 min)
6
3.1
Understanding LLMs (GPT, BERT, T5, LLaMA)
3.2
Tokenization: BPE, WordPiece, SentencePiece
3.3
Fine-Tuning vs Prompt Engineering in LLMs
3.4
Introduction to Reinforcement Learning from Human Feedback (RLHF)
3.5
Hands-on: Generating Text Using OpenAI’s GPT API
3.6
Hands-on: Fine-Tuning a Pretrained Model on a Custom Dataset
Module 4: Image Generation Using Diffusion Models (1 Hour 15 min)
5
4.1
Introduction to Diffusion Models (Stable Diffusion, DALL·E)
4.2
How Diffusion Models Work (Forward & Reverse Process)
4.3
Fine-Tuning Diffusion Models for Custom Image Generation
4.4
Hands-on: Generating AI Art Using Stable Diffusion
4.5
Hands-on: Customizing Image Prompts for Better Results
Module 5: AI for Audio & Music Generation (1 Hour 15 min)
6
5.1
Overview of AI-Powered Audio Models (WaveNet, Jukebox, VALL-E)
5.2
Speech Synthesis & Voice Cloning with Generative AI
5.3
Text-to-Speech (TTS) and Speech-to-Text (STT) Models
5.4
AI in Music Composition: How AI Creates Melodies
5.5
Hands-on: Generating AI-Based Music Using OpenAI’s Jukebox
5.6
Hands-on: Cloning a Voice with AI
Module 6: AI for Video & Code Generation (1 Hour 15 min)
5
6.1
AI Video Generation Models (Sora, Runway ML)
6.2
AI-Powered Animation and Deepfake Technology
6.3
Generating Code with AI (Codex, GitHub Copilot)
6.4
Hands-on: Generating Video Clips Using AI Models
6.5
Hands-on: Writing and Debugging Code with AI (Copilot & ChatGPT Code Interpreter)
Module 7: Building AI Chatbots & Applications (1 Hour)
5
7.1
Introduction to Conversational AI & Chatbots
7.2
RAG (Retrieval-Augmented Generation) in Chatbots
7.3
Fine-Tuning LLMs for Custom Chatbots
7.4
Introduction to LangChain for AI Agents
7.5
Hands-on: Creating a Personalized Chatbot Using LLMs
Module 8: Real-World Applications & Deployment (1 Hour)
6
8.1
Deploying GenAI Models Using Flask, FastAPI, and Streamlit
8.2
Building End-to-End AI Applications
8.3
Model Optimization and Cost Efficiency
8.4
AI Ethics, Bias, and Responsible AI Development
8.5
Future Trends in Generative AI
8.6
Hands-on: Deploying a GenAI Model as a Web App
Generative AI Mastery: Create, Build & Deploy with LLMs, Diffusion, and More
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