AI is rapidly evolving beyond single-model applications. The next wave of innovation lies in agentic systems, where multiple AI agents communicate, collaborate, and solve complex problems together. In this course, you’ll learn how to design and build Agent-to-Agent (A2A) systems from the ground up using modern tools, real-world architectures, and production-ready development patterns. Instead of focusing only on prompts or isolated LLM usage, this course teaches you how to build scalable AI systems that reflect how real-world intelligent platforms operate.
What You’ll Learn:
- Fundamentals of the A2A protocol: Agent Cards, Executors, and task lifecycle
- How to build event-driven AI agents using real-world architecture
- Implement agent discovery, messaging, and streaming using the A2A SDK
- Integrate LLMs (OpenAI models) for intelligent reasoning
- Design multi-agent systems where agents collaborate and delegate tasks
- Build production-ready agentic AI systems from scratch






