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Cohort #1 • Post #4

Agentic AI — From Chatbots to Autonomous Agents

Learn how to build autonomous AI agents that can use tools, plan, reflect, and collaborate with other agents.

Learning Steps

1

Foundation — What Are Agents and Why Do They Matter?

Take Dr. Andrew Ng's "Agentic AI" short course on DeepLearning.AI. Learn agentic design patterns — reflection, tool use, planning, and multi-agent collaboration.

Required Resources:

2

Building and Engineering Agents

Read Anthropic's "Building Effective Agents" guide and their follow-up article "Effective Context Engineering for AI Agents". Build AI agents and feed them the right context (prompts, memory, tool outputs, etc.).

3

Evaluating Agents

Read Anthropic's "Demystifying Evals for AI Agents". Build evaluation frameworks to measure and improve agent reliability.

4

Multi-Agent Systems in Practice

Read Anthropic's case study on building their multi-agent research system. Learn how multiple specialized agents can coordinate on a complex task.

5

Agent Protocols — Connecting Agents to Tools and Each Other

Read the intro to the Model Context Protocol (MCP) and take DeepLearning.AI's course on the Agent2Agent (A2A) protocol. MCP connects agents to tools; A2A connects agents to agents.

Live AMA Session

Date: Wednesday, April 8, 2026

Time: 9:30 am PST

Please reply below to get the Zoom link to the live AMA session. Bring your questions, discuss progress and connect with peers.

Published: 3/22/2026