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Google A2A protocol

Track :

Artificial Intelligence
Course Presenter :

AI LABS

Lessons no : 8

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What will you learn in this course?
  • Design and implement Google A2A protocol for seamless AI agent communication and collaboration
  • Utilize agent cards to define identity, capabilities, and secure interactions in multi-agent systems
  • Create and update real-time tasks to enable dynamic AI workflows and automation processes
  • Apply authentication and security measures to ensure safe cross-platform AI interactions
  • Facilitate agent discovery and structured data exchange for scalable AI interoperability
  • Develop multi-agent systems that enhance AI application integration and enterprise automation

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Lessons | 8


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Gokul Ragavan G 

good
2025-11-02

Ali Abbas 

good
2025-10-21

Raghupathy Raghu 

Good
2025-09-17

Sankar Nag 

Well done
2025-09-12

Dr.Ghvs Sarma 

An Informative Content
2025-09-10

daffa tri jayawinata 

now i know
2025-07-29

Muhammad Adeel 

it is very nice cource
2025-05-31

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Google A2A protocol, in this course we will learn about Google’s Agent-to-Agent (A2A) protocol—a powerful open standard designed to enable seamless communication and collaboration between AI agents. You’ll explore how agent cards define identity and capabilities, how tasks are created and updated in real time, and how secure interactions are managed across platforms. This course covers core components like agent discovery, task orchestration, authentication, and structured data exchange. Whether you're building multi-agent systems or enhancing AI applications, A2A provides the interoperability needed to scale collaboration. By the end of the course, you’ll be able to implement the A2A protocol in your own AI or automation projects and design agents that can securely and intelligently cooperate in enterprise or cross-platform environments. AI LABS