AI Learning 2026

A 12-week AI learning sprint (Oct 2026 – Jan 2027): agentic AI, MCP, and AI for systems engineering. Every milestone ships code here, and every course produces public content.

Follow along: vibewithamit.com · TikTok @vibewithamitai · YouTube @vibewithamitai · Instagram @vibewithamitai, with videos, posts and write-ups from each week.

Progress

Week	Course	Milestone	Status
1	Anthropic Academy	Claude Code in Action certificate	✅ Done
2	Anthropic Academy	API tool-use script	✅ Done
3	Anthropic Academy	Custom MCP server	✅ Done
4–8	Agentic AI (Andrew Ng)	Reflection, tool use, evals, multi-agent	⬜
8	PPI AI for Systems Engineering	Workshop attended	⬜
9–11	Hugging Face AI Agents Course	Agent rebuilt in LangGraph, certificate	⬜
12	Capstone	Requirements traceability agent demo	⬜

Structure

01-anthropic-academy/     Claude Code, Claude API, MCP projects
02-agentic-ai/            Agent design patterns and evals (DeepLearning.AI)
03-huggingface-agents/    smolagents and LangGraph work
04-capstone/              Requirements traceability agent (synthetic data only)
content/                  Links to videos, posts and blog articles
website/                  Vibe with Amit site (vibewithamit.com), deployed to Netlify

Highlights

• MCP server (Week 3): the requirements checker's tools packaged as an MCP server and connected to Claude Code, which called them 9 times in one review, then pointed out gaps in the rules themselves. Code
• Requirements checker (Week 2): Claude used two Python tools to review 8 synthetic system requirements, flagged 6 (vague wording, weak modal verbs, a TBD, a compound requirement) and rewrote each as testable, marking invented values as [assumed]. Code · sample output
• Prompt v1 vs v2 (Week 2): four prompt engineering techniques took the eval from 5/6 to 6/6 across two runs, with answers 39% shorter and quality up from 8.7 to 8.8. Code
• Eval caught the AI grader (Week 2): a 9/10 answer broke the 120-word limit; a one-line code check caught it. Code

Certificates

• Claude Code in Action — Anthropic, Oct 2026
• Introduction to Model Context Protocol — Anthropic, Oct 2026
• Model Context Protocol: Advanced Topics — Anthropic, Oct 2026

Note

All examples use synthetic or public data only.