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 for updates
- 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
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.
- 🔥 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
✅ 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
# 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- 01-notebooks/ - Complete learning experience (10 progressive notebooks)
- 02-sample-data/ - Realistic test data for all projects
- 03-templates/ - Ready-to-use code templates and deployment configs
- 04-resources/ - Architecture diagrams, guides, and reference materials
- 05-setup/ - Installation help and environment verification
| 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 |
- 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!
- 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)
- Repository structure and setup
- Environment configuration and verification
- 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
🔔 Stay Updated: Follow @pragatikunwer on LinkedIn for course development updates
📺 YouTube Channel: AI For All with Pragati - Weekly insights on Agentic AI
🎓 Existing Course: Check out AI Agents Bootcamp on Udemy for foundational agent knowledge
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.
This course content is licensed under MIT License. See LICENSE for details.
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"
⭐ Star this repository to follow course development and get notified when notebooks are published!
Ready to build the future of AI collaboration? The agent revolution starts here.