depalmar / ai_for_the_win
Build AI-powered security tools. 50+ hands-on labs covering ML, LLMs, RAG, threat detection, DFIR, and red teaming. Includes Colab notebooks, Docker environment, and CTF challenges.
Why this job: says: red teaming; topics: cybersecurity
What it does
A hands-on training program for security practitioners who want to build AI-powered tools for threat detection, incident response, and security automation. 50+ labs (including 9 intro labs and 12 bridge labs), 4 capstone projects, 18 CTF challenges. Includes sample datasets, solution walkthroughs, and Docker lab environment. Designed for vibe coding with AI assistants like Cursor, Claude Code, and Copilot.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 46 days ago
- Stars
- 170
- On GitHub
- Licence
- Custom
- Read before business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.9.0
- Released 10 months ago
- Built with
- Python
- 65% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 226 merged
- 9 waiting
- Releases
- 11
- 11 in the last year
- Contributing guide (opens in new tab)
- Security policy (opens in new tab)
- No code of conduct
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More: languages, topics and project record
Languages
- Python 65%
- Jupyter Notebook 35%
- Dockerfile <1%
Topics
- adversarial-ml
- ai
- blue-team
- cloud-security
- ctf
- cybersecurity
- dfir
- docker
- hands-on-labs
- incident-response
- llm
- machine-learning
Project record
- JobAI security
- StatusListed
- Commits269
- Forks25
- Watching2
- Stars in 28 days+7
- CreatedDec 15, 2025
- First seen by usNov 7, 2026
- CheckedNov 8, 2026