Question 1

How is an 'AI Agent' different from a regular chatbot like ChatGPT?

Accepted Answer

A chatbot responds to your prompts. An AI agent acts on your goals. You tell a chatbot, 'What are the steps to book a flight?' You tell an agent, 'Book me the cheapest flight to Tokyo for next Tuesday.' The agent then performs the steps autonomously, interacting with websites and services on your behalf.

Question 2

Is the Agentic Web just a theoretical concept?

Accepted Answer

No, it's already emerging. Services like ChatGPT Agent, Google's Project Mariner, and Genspark's Super Agent are early examples of agentic systems that can perform multi-step tasks. The underlying protocols and architectures are being built now to support a more widespread agentic ecosystem.

Question 3

What are MCP and A2A, and why do they matter?

Accepted Answer

MCP (Model Context Protocol) and A2A (Agent-to-Agent Protocol) are two open standards that define how agents interact with the world. MCP, created by Anthropic, is a universal connector that lets any agent use any tool through a single standard interface. A2A, created by Google, lets agents from different vendors discover and communicate with each other. Together, they are doing for agents what HTTP did for the web.

Question 4

Is this secure? What are the risks?

Accepted Answer

This is one of the most critical challenges. Security and alignment are key. An agent with access to your digital life could be misused if not properly constrained. Module 5 of this course is dedicated to these challenges, discussing the need for strict permissions, monitoring, and ensuring agents act ethically and in your best interest.

Question 5

How can I build my first AI agent?

Accepted Answer

The fastest way to start is with a framework like Google's Agent Development Kit (ADK), LangGraph, or CrewAI. These frameworks handle the complex plumbing, so you can focus on defining your agent's goal, tools, and behavior. Many have getting-started tutorials that let you build a simple research or coding agent in under an hour. You will need basic Python knowledge.

The Agentic Web

Course Curriculum

1. The Core Idea: From Information Web to Action Web

2. The Core Components of Agentic Systems

3. The Three Dimensions of the Agentic Web

4. Applications: The Agentic Web in Action

5. The Future: Challenges and Opportunities

6. Protocols: MCP & A2A

7. Build Your First Agent

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Protocols and Standards

Agent Frameworks

Agent Products

Further Reading

Frequently Asked Questions