Generative AI Course

Comprehensive Learning Path - Hands-on course covering modern generative AI techniques and applications

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🎯 Course Overview

Practical AI Development Training

This course transforms AI learning from theoretical concepts into practical expertise. The comprehensive curriculum covers prompt engineering, LangChain, RAG systems, and multi-agent architectures—all while building real applications and understanding industry best practices.

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📚 Core Modules

Module	Topic	Description
M3	Prompting Strategies	Advanced prompt engineering and optimization techniques
M4	GenAI Applications	Real-world AI triage systems and interactive applications
M5	LangChain Framework	Templates, memory management, and chain composition
M6	AI Agents	Autonomous agents with tool integration and coordination
M8	RAG Systems	Retrieval-Augmented Generation with vector databases
M10	Advanced Topics	LangGraph workflows and complex AI architectures
M11	Multi-Agent Systems	CrewAI framework and investment analysis agents

🔬 Specialized Labs

• Health AI Lab - Medical applications of large language models
• API Integration - ChatGPT API mastery and custom prompt development

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🛠️ Technology Stack

Python • OpenAI API • LangChain • LangGraph • CrewAI • Vector Databases • Jupyter Notebooks

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🚀 Quick Start

# Clone and setup
git clone [repository-url]
cd generative-ai-course

# Install dependencies
pip install -r requirements.txt

# Configure environment
cp .env.example .env
# Add your API keys to .env

# Launch
jupyter lab

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🎓 Learning Outcomes

Upon completion, you'll master:

✅ Advanced prompt engineering and optimization
✅ Building production-ready AI applications
✅ Implementing RAG systems for knowledge integration
✅ Developing autonomous AI agents
✅ Creating multi-agent collaborative systems
✅ API integration and deployment strategies

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📁 Repository Structure

📦 generative-ai-course
├── 📓 M3_Lab1_Prompting_Strategies.ipynb
├── 📓 M4_Lab1_GenAI_Triage.ipynb
├── 📓 M4_Lab2_GenAI_BeerGame_V1.ipynb
├── 📓 M5_Lab1_LangChain_LLMs.ipynb
├── 📓 M5_Lab2_LangChain_Templates_Memory.ipynb
├── 📓 M6_Lab1_AI_Agents.ipynb
├── 📓 M6_Lab2_AI_Agents_Applications.ipynb
├── 📓 M8_Lab1_RAG.ipynb
├── 📓 M10_Lab1_LangGraph_Intro.ipynb
├── 📓 M11_Lab1_CrewAI.ipynb
├── 📓 M11_Lab2_Multi_Agent_Investment_Analysis.ipynb
├── 📓 Lab_7_HealthLLM.ipynb
├── 📓 ChatGPT_API_Tutorial.ipynb
├── 📓 Prompting_with_API.ipynb
└── 📄 README.md

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Built for the future of AI development