Module 1: Introduction to Generative AI

Topics:

• Overview of Generative AI
• Generative AI vs Traditional AI
• Use Cases
• Understanding AI: Basics and Use Cases
• Differentiating ML, DL and AI
• Basics of NLP

Module 2: Large Language Models

Topics:

• Introduction to OpenAI and LLMs
• What are LLMs?
• How do LLMs work?
• Types of LLMs
• Practical uses of LLMs
• Text Generation
• Chatbot Creation
• Foundations of Generative Models & LLMs
• Generative Adversarial Networks (GANs)
• Autoencoders in Generative AI
• Significance of Transformers in AI
• "Attention is All You Need" – Transformer Architecture
• Reinforcement Learning (RLHF)

Module 3: LLM Foundation Models

Topics:

• Encoder Models (BERT)
• Decoder Models (GPT)
• Encoder-Decoder Models (T5)
• Open-Source vs Commercial Models
• Quantization Models (GGML vs GGUF)

Module 4: LangChain & LlamaIndex Framework

Topics:

• Introduction to LangChain & LlamaIndex
• Hugging Face API + LangChain
• Hugging Face API + LlamaIndex
• Memory in LangChain
• LLM Chain

Module 5: Retrieval Augmented Generation (RAG) & Evaluation

Topics:

• Overview of RAG
• Semantic Search, Vectors & Vector Databases
• Building a GenAI App with RAG
• Evaluating RAG
• End-to-End Medical Chatbot Project

Module 6: Advanced RAG

Topics:

• LOTR (Layered/Optimized Techniques in RAG)
• Chain of Thought (CoT)

Module 7: Fine-Tuning & Evaluating LLMs

Topics:

• Instruction Fine-Tuning
• Single-Task Fine-Tuning
• Multi-Task Instruction Fine-Tuning
• Model Evaluation & Benchmarks
• Parameter Efficient Fine-Tuning (PEFT)
• LoRA
• Soft Prompts
• Lab Walkthrough

Module 8: Evaluation Metrics

Topics:

• ROUGE
• BLEU
• METEOR
• CIDEr

Module 9: Deployment & Hardware Considerations

Topics:

• Deployment Strategies
• Hardware Requirements

Module 10: Generative AI on Cloud – Hugging Face

Topics:

• Hugging Face Overview
• Hugging Face Hub

Module 11: Generative AI on Cloud – GCP

Topics:

• Model Evaluation
• Prompt Design

Module 12: Generative AI on Cloud – Azure

Topics:

• Azure ML
• Azure Cognitive Services
• Azure Databricks

Module 13: Generative AI on Cloud – AWS

Topics:

• AWS Bedrock

Module 14: Introduction to GPT & ChatGPT Architectures

Topics:

• Overview of GPT
• ChatGPT Capabilities
• GPT Architecture
• GPT-3 vs GPT-4
• Advancements in GPT-4
• Ethical Considerations

Module 15: Introduction to Prompt Engineering

Topics:

• Fundamentals of Prompt Engineering
• Types of Prompts
• Content Generation Strategies
• Video & Music Generation with Prompts
• Tokens & Parameters

Module 16: Advanced Prompt Engineering

Topics:

• Zero-Shot, One-Shot & Few-Shot Learning
• Model Parameter Adjustments
• Managing Hallucinations & Bias
• Advanced Prompt Crafting Techniques
• Prompt Optimization & Refinement

Module 17: Agents

Topics:

• Overview of Agents
• LangChain Agents
• AWS Bedrock Agents
• Crew AI

Module 18: Guardrails

Topics:

• Overview of Guardrails
• Implementing Guardrails
• AWS & Azure Guardrails

Module 19: GitHub Copilot

Topics:

• Overview of GitHub Copilot
• Complex Coding with Copilot
• Generate, Document & Test Code
• Effective Prompting for Developers
• Commands & Agents

Module 20: Generative AI for Software Testing

Topics:

• Generate Test Documentation
• AI for Understanding Test Scripts
• Generate Test Cases from Images
• QA Strategy with Generative AI

Module 21: Real-World Applications & Case Studies

Topics:

• End-to-End GenAI Project (Gemini Pro)
• Medical Chatbot
• Talk to Your Codebase
• Code Translation & Conversion
• Chatbot for Complex PDFs
• Self-Healing Code
• NLP to SQL