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New course teaches building robust AI agents with approval queues

A new 8-module course from Homingo founder Yusuf teaches developers how to build robust AI agents. The curriculum focuses on practical challenges beyond basic chat loops, including handling agent actions, implementing human-in-the-loop approval queues with payload verification, and creating a Model Context Protocol (MCP) server. The course also covers production-level features like scheduled jobs, idempotency, and QA gates, culminating in a capstone project where students deploy their own AI agent and MCP server. AI

IMPACT Provides developers with practical skills to build more reliable and secure AI agents for real-world applications.

RANK_REASON The item describes a paid course for developers on building AI agents, which is a tool-related offering rather than a frontier release, significant event, or research paper.

Read on dev.to — MCP tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New course teaches building robust AI agents with approval queues

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14 / 100
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Tool
The item describes a paid course for developers on building AI agents, which is a tool-related offering rather than a frontier release, significant event, or research paper.
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product, other
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. dev.to — MCP tag TIER_1 English(EN) · Mohd Yusuf Khan ·

    Show DEV: an 8-module course in which you ship an AI agent, an approval queue and your own MCP server

    <p>Disclosure up front: this is our product. I'm Yusuf, founder of Homingo, and this is a paid course I made: ₹1,499 one-time (about US$17; international cards are accepted).</p> <h2> The problem it is built around </h2> <p>Most agent tutorials end at a chat loop: a prompt, a mod…