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18 Lessons to Get Started Building AI AgentsDescription from GitHub
An 18-lesson course specifically on building AI agents — planning, tool use, multi-agent coordination, retrieval-augmented agents — with accompanying code for each lesson.
It suits someone who already understands basic prompting and wants a structured next step into agent-specific concepts: what a tool call is, how planning differs from a single response, and how agents coordinate.
Like similar vendor-authored courses, the code samples are written against one company's specific frameworks; the concepts transfer, but expect to translate the code to whatever tooling you actually use.
| Month | Days appeared |
|---|---|
| Mar 25 | 1 |
| Apr 25 | 6 |
| May 25 | 4 |
| Jun 25 | 6 |
| Jul 25 | 3 |
| Aug 25 | 1 |
| Sept 25 | 4 |
| Oct 25 | 2 |
| Nov 25 | 1 |
| Apr 26 | 2 |
| May 26 | 3 |
Appeared on a GitHub trending board 33 days between 1 Mar 2025 and 31 May 2026. This counts trending-board appearances — it reflects attention, not quality, and GitHub does not publish how trending is calculated.
The prompt lab's agent module covers the underlying concepts before you commit to any one framework's code.
Understand agents before choosing a frameworkRepository details from the GitHub API, collected 16 Aug 2026. Trending history from the GitHub Trending Archive, covering 1 Mar 2025 – 31 May 2026.
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