Welcome to the AI Agents Bootcamp — your all-in-one guide to mastering AI agents using LangChain, Langflow, GPT-4, and modern automation tools. This course is designed for developers, entrepreneurs, and AI enthusiasts who want to build, deploy, and monetize powerful workflow automation systems.

• Understand the core concepts behind AI agents and workflow automation
• Set up a development environment with Python, LangChain, and Langflow
• Build powerful, autonomous agents using GPT-4
• Create visual agent workflows with Langflow
• Add memory, custom tools, and real-time data with APIs
• Implement Retrieval-Augmented Generation (RAG)
• Build multi-agent collaboration systems
• Deploy agents to AWS, Azure, and GCP
• Monetize your agents and replace traditional SaaS tools

• Python 3.10+
• LangChain
• Langflow
• OpenAI GPT-4
• FAISS
• AutoGen & CrewAI (for multi-agent systems)
• LangGraph (for reliability)
• VS Code + Jupyter
• Cloud Platforms: AWS, Azure, GCP

AI-Agents-Bootcamp/
│
├── Section_01_Intro/
│   └── Lecture_01_Course_Overview.ipynb
│
├── Section_02_Setup_Toolkit/
│   ├── Lecture_01_Setup_Environment.ipynb
│   └── ...
│
├── Section_06_RAG_Advanced/
│   ├── Lecture_02_Intro_to_RAG.ipynb
│   ├── Lecture_03_Advanced_RAG_Techniques.ipynb
│   └── Lecture_04_Document_QA_Agent.ipynb
│
├── README.md
└── requirements.txt

# 1. Clone the repo
git clone https://github.com/your-username/ai-agents-bootcamp.git
cd ai-agents-bootcamp

# 2. Install UV package manager (fast pip alternative)
pip install uv

# 3. Create virtual environment
uv venv .venv
source .venv/bin/activate  # or .venv\Scripts\activate on Windows

# 4. Install dependencies
uv pip install -r requirements.txt

# 5. Start coding
code .  # Open in VS Code

1. Open any notebook inside the Section_* folders.
2. Follow along with the step-by-step instructions.
3. Ensure your .env file is created with your OpenAI key:

   OPENAI_API_KEY=your-key-here
   

4. Run each cell and test the output.
5. Use the comments and markdown cells for learning guidance.

Created by Pragati Kunwer – Engineering Manager, Educator, and AI Automation Specialist.

📧 Contact: pragatikunwer@gmail.com

This project is licensed under the MIT License. See LICENSE file for details.

If you enjoyed this project, give the course a ⭐ on GitHub and don’t forget to subscribe on YouTube!