One module here is a flagged gap-priority
Agentic Engineering in Production was the #2 self-identified gap from Tom's job-hunting skills scan, right behind Cloud Native Essentials' top gap — it's sequenced second in this trail for that reason.
Prompting, agents, tooling, and automation
Applied AI/ML
Four topics, one lesson each: a short primer, links to primary documentation, and exercises to prove the concept has stuck. Start with LLM API Use & Prompt Engineering.
LLM API Use & Prompt Engineering
The core chat completion shape, prompting techniques, and the failure modes — hallucination, injection, non-determinism.
Start lessonAgentic Engineering in Production
Tool calling, MCP, RAG, and evals — why the demo works and production doesn’t, without them.
Start lessonAI-Assisted Development Tooling
Copilot, Cursor, Claude Code, and ChatGPT as daily tools — and how code review changes once they’re writing a share of it.
Start lessonLow-Code/No-Code Automation
n8n, Zapier, and Make — the shared trigger/action/mapping model, and when a workflow has outgrown a visual builder.
Start lessonTraining Notes
What building this project taught me.
Only build the link once the destination exists
Each topic card only becomes clickable when its lesson page ships, matching the convention set by TSE Onboarding.