A2a Protocol Masterclass: Build Agent-To-Agent Systems
Published 4/2026
Created by Arnab Das
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 34 Lectures ( 5h 10m ) | Size: 2.1 GB
✓ Understand the A2A protocol and how agent-to-agent communication differs from traditional LLM applications.
✓ Build production-ready AI agents using Agent Cards, Executors, and event-driven task workflows.
✓ Implement agent discovery, messaging, and streaming using the A2A SDK and JSON-RPC interfaces.
✓ Design and develop multi-agent systems where agents collaborate, delegate tasks, and share results.
✓ Integrate LLMs (like OpenAI models) into A2A agents for intelligent reasoning and responses.
✓ Deploy and test scalable A2A agents locally and in production environments.
Requirements
● Basic understanding of Python programming (functions, classes, async concepts are helpful but not mandatory)
● Familiarity with APIs and JSON (helpful but will be explained during the course)
● A computer with internet access (Windows, macOS, or Linux)
● An OpenAI API key (or similar LLM provider) to run agent examples
● Willingness to learn modern AI system design and experiment with hands-on coding
Description
A2A Protocol Masterclass: Build Agent-to-Agent Systems
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
Hands-On Learning Experience
You will build a complete A2A system, including
• An Agent Server (exposes your agent via the A2A protocol)
• An Agent Executor (handles task lifecycle and execution)
• A Client Application (discovers and communicates with agents)
• Support for streaming and non-streaming communication
By the end, you'll have a fully working agent system you can extend into real-world applications. If you want to move beyond simple AI apps and learn how real intelligent systems are built, this course is for you.
Who this course is for
■ Developers who want to build next-generation AI systems using agent-to-agent (A2A) communication
■ AI/ML engineers looking to move beyond basic LLM apps and design scalable multi-agent architectures
■ Backend and full-stack developers interested in integrating intelligent agents into real-world systems
■ Tech professionals and architects exploring modern AI system design patterns like agent orchestration and distributed intelligence
■ Learners curious about how tools like LangChain and LLM APIs can be used to build production-ready agent systems
■ Anyone interested in the future of AI systems, where multiple agents collaborate, communicate, and solve complex problems
A2a Protocol Masterclass: Build Agent-To-Agent Systems
