Jupyter Notebook · MIT
zorost/AI-Engineering-Lab
A free, self-paced 24-week AI engineering course: Python, machine learning, LLMs, RAG, fine-tuning, agents and MCP, Azure and Vertex and Bedrock, and Databricks. 43 runnable notebooks, one continuous case study. MIT licensed, no signup. By Zorost Intelligence AI Lab.
★ 315
Stars
255 forks · 1 open issues
+1.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
16.7
Momentum / 100
see the breakdown below
2mo ago
Created
last push 2mo ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 1.1 | +1.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | needs 7-day and 30-day rates side by side |
| Freshness | 15 | 8.4 | last push 2mo ago; decays to zero at 180 days |
| Scale | 15 | 7.2 | 315 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 16.7 | sum of the above |
Detail
| Topics | ai-agentsai-engineeringcoursecurriculumdatabricksdeep-learningfine-tuninggenerative-ailearning-resourcesllmmachine-learningmcpmlopsprompt-engineeringpysparkpythonragroadmapvector-searchzorost |
| Matched on | LLM & Inference (fine-tuning) Learning & Roadmaps (learning-resources, roadmap) |
| Short window | +1 stars over 7 days = 0.1/day |
| Long window | +-3 stars over 26 days = -0.1/day |
| Lifetime average | 3.95 stars/day over 80 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |