Content
# Master A2A: Build Collaborative AI Agents
**The first comprehensive course for building Agent-to-Agent communication systems using Python and open-source tools.**
> 🚀 **Course Launch:** Coming Soon | **Early Access:** Connect with [@pragatikunwer](https://linkedin.com/in/pragatikunwer) for updates
## What You'll Build
- **Customer Service Agent Network** - Automated support workflows with intelligent routing
- **E-commerce Agent System** - Order processing with inventory, payment, and shipping coordination
- **Enterprise Integration** - Connect agents to real-world APIs and databases
- **Production Deployment** - Deploy agent networks using free cloud platforms
## Course Overview
In just 3 hours, you'll master the emerging **Agent-to-Agent (A2A) Protocol** and build collaborative AI systems that communicate, coordinate, and amplify each other's capabilities.
### Why A2A Matters Now
- 🔥 **92% of businesses** are increasing AI investment in 2025
- 📈 **Multi-agent systems** dominate 66.4% of the agentic AI market
- 🏢 **Enterprise adoption** by Salesforce, MongoDB, LangChain, and others
- 💼 **Career opportunity** - A2A skills command premium salaries
### What Makes This Course Unique
✅ **First comprehensive A2A course** available anywhere
✅ **100% free tools** - VS Code + Python + open-source libraries only
✅ **Notebook-driven learning** - Theory and practice perfectly integrated
✅ **Immediate results** - See agents communicating within 30 minutes
✅ **Production-ready** - Deploy real agent networks to free cloud platforms
## Quick Start (5 Minutes)
```bash
# Clone this repository
git clone https://github.com/pragatidev/Master-A2A-Course.git
cd Master-A2A-Course
# Set up environment
cp .env.sample .env
# Add your OpenAI API key to .env file
# Install dependencies
pip install -r requirements.txt
# Verify setup
python 05-setup/environment_check.py
# Open in VS Code
code Master-A2A-Course.code-workspace
```
## Course Structure
- **[01-notebooks/](01-notebooks/)** - Complete learning experience (10 progressive notebooks)
- **[02-sample-data/](02-sample-data/)** - Realistic test data for all projects
- **[03-templates/](03-templates/)** - Ready-to-use code templates and deployment configs
- **[04-resources/](04-resources/)** - Architecture diagrams, guides, and reference materials
- **[05-setup/](05-setup/)** - Installation help and environment verification
## Learning Path
| Notebook | Topic | Duration | What You'll Build |
|----------|-------|----------|------------------|
| 01 | VS Code Environment Setup | 10 min | Development environment |
| 02 | First Agent Communication Pair | 20 min | "Hello World" agents |
| 03 | Agent Discovery and Registration | 25 min | Agent network foundation |
| 04 | Customer Service Agent Network | 25 min | Support workflow automation |
| 05 | E-commerce Workflow System | 25 min | Order processing pipeline |
| 06 | Monitoring and Logging | 20 min | Production observability |
| 07 | External API Integration | 25 min | Enterprise system connections |
| 08 | Performance Optimization | 15 min | Scaling and efficiency |
| 09 | Docker Deployment Setup | 15 min | Containerization |
| 10 | Cloud Deployment Templates | 15 min | Free cloud deployment |
## Prerequisites
- **Python Knowledge:** Basic to intermediate (functions, classes, basic OOP)
- **Development Environment:** VS Code installed
- **API Access:** OpenAI API key with $3-5 budget for hands-on projects
- **Time Commitment:** 3 focused hours
**Everything else is provided and free!**
## Technology Stack
- **Core:** Python 3.8+, VS Code with Jupyter extension
- **Libraries:** requests, pydantic, fastapi, asyncio, loguru
- **AI Integration:** OpenAI API (gpt-4o-mini recommended)
- **Deployment:** Docker, Railway.app, Render.com, Google Cloud Run (all free tiers)
## Course Development Status
- [x] Repository structure and setup
- [x] Environment configuration and verification
- [x] Course curriculum and learning objectives
- [ ] Notebook 01: VS Code Environment Setup
- [ ] Notebook 02: First Agent Communication Pair
- [ ] Notebook 03: Agent Discovery and Registration
- [ ] Notebook 04: Customer Service Agent Network
- [ ] Notebook 05: E-commerce Workflow System
- [ ] Notebook 06: Monitoring and Logging Implementation
- [ ] Notebook 07: External API Integration
- [ ] Notebook 08: Performance Optimization
- [ ] Notebook 09: Docker Deployment Setup
- [ ] Notebook 10: Cloud Deployment Templates
## Early Access & Updates
🔔 **Stay Updated:** Follow [@pragatikunwer](https://linkedin.com/in/pragatikunwer) on LinkedIn for course development updates
📺 **YouTube Channel:** [AI For All with Pragati](https://youtube.com/@aiforallwithpragati) - Weekly insights on Agentic AI
🎓 **Existing Course:** Check out [AI Agents Bootcamp on Udemy](https://www.udemy.com/course/ai-agents-bootcamp-build-with-langchain-rag-langflow-gpt) for foundational agent knowledge
## Contributing
This course is being developed in public! If you're interested in:
- **Beta testing** notebooks as they're created
- **Providing feedback** on course structure and content
- **Suggesting improvements** or additional topics
Please open an issue or reach out on LinkedIn.
## License
This course content is licensed under MIT License. See [LICENSE](LICENSE) for details.
## About the Instructor
**Pragati Kunwer** is a senior engineering leader with 20+ years of experience, currently focused on Agentic AI solutions. Background spans product engineering, SaaS architecture, and enterprise-scale AI at companies like IBM Software Labs.
**Course Creation:** "AI Agents Bootcamp" (Udemy Business catalog)
**Expertise:** LangChain, Langflow, RAG, multi-agent systems, GenAI workflows
**Content:** Weekly insights on LinkedIn and YouTube under "AI For All with Pragati"
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**Ready to build the future of AI collaboration?** The agent revolution starts here.
