Agentic AI Engineer
Build agents that plan, call tools, and get things done.
LLM APIs, RAG, tool calling, agent frameworks (LangGraph, CrewAI, Claude Agent SDK), MCP, and evaluation — the core build path for engineers shipping agents.
9 lessons · about 3.2 hours
Certificate of completion
Earn your Agentic AI Engineer certificate
Verified edition
Mark every lesson in this course complete. You have finished 0 of 9. 9 to go.
See a sample certificate. Anyone can check a certificate with its code at /verify. It records course completion. It is not an exam or an accredited qualification.
A structured review that finds bugs, risks and maintainability issues — in priority order.
Plan a safe migration with incremental steps and rollback.
Find the real bottleneck before optimizing.
A defensive review for common vulnerabilities in your own code.
Document a technical decision with options and trade-offs.
Clean conventional commits and a PR description reviewers love.
Get a tested regular expression plus a plain-English breakdown.
Turn a repo into a guided tour for a new engineer.
Review an API for consistency, safety, versioning and developer experience.
Find the slow part, suggest indexes and rewrite — with the trade-offs explained.
Edge-case-focused tests that describe behaviour, not implementation.
Break a risky refactor into small, reversible, test-protected steps.
Systematic root-cause analysis from an error, logs and the relevant code.
Turn an endpoint definition into clear reference docs.
A solid first pass of tests for a function, including edge cases.
Untangle an old function without changing its behavior.
A structured review of a diff or file against a fixed checklist.