calmrocks / ai-engineer-notebooks
Hands-on, framework-free Colab notebooks for the AI Engineer / Forward Deployed Engineer (FDE) skill set — model APIs, structured output, tool calling, RAG, evals-as-the-spine, agents (loop from scratch, tool design, guardrails, MCP, Skills), fine-tuning vs LoRA, prompt-injection/security, LLMOps, and customer craft. Runs on the free Groq API.
Why this job: says: evals, llmops; topics: llmops, evals
What it does
Runnable Colab notebooks for the AI Engineer / Forward Deployed Engineer (FDE) skill set. You build working systems on top of foundation models (model APIs, RAG, evals, agents, adaptation, serving) using raw APIs, not frameworks.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 2 days ago
- Stars
- 741
- +17 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.1.0
- Released 2 months ago
- Built with
- Jupyter Notebook
- 100% of the code
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- 0% closed
- 1 still open
- Pull requests
- 1 merged
- 0 waiting
- Releases
- 1
- 1 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics, project record and preview image
Languages
- Jupyter Notebook 100%
- Python <1%
Topics
- agents
- ai-engineer
- colab
- evals
- forward-deployed-engineer
- llm
- notebooks
- rag
- ai-engineering
- fine-tuning
- generative-ai
- groq
Project record
- JobEvals and observability
- StatusListed
- Commits104
- Forks73
- Watching2
- Stars in 28 days+44
- CreatedAug 11, 2026
- First seen by usNov 7, 2026
- CheckedNov 9, 2026