Pedagogy
Hands-on AI learning in the 42 ecosystem—and open beyond. Workshops, bootcamps, study groups, mentoring, and project reviews designed to help you build real skills and deliverables.
Learning formats
Workshop
Focused, hands-on sessions on a specific topic. You code along, ask questions, and leave with a working example and clear next steps.
Best for: Beginners to Intermediate
Bootcamp
Intensive short programs that cover a full topic from A to Z. Ideal for getting up to speed on a new area (e.g. NLP, MLOps) in a condensed format.
Best for: Intermediate
Study Group
Regular meetups where participants follow a curriculum together, discuss concepts, and support each other. Great for sustained learning over weeks.
Best for: Beginners to Advanced
Mentoring
One-on-one or small-group guidance from experienced members. Get feedback on projects, career advice, and help unblocking technical challenges.
Best for: All levels
Project Review
Structured feedback sessions on your code, model, or design. Learn best practices and improve your deliverables before sharing publicly.
Best for: Intermediate to Advanced
Talk
Technical talks and demos from community members or guests. Broaden your perspective and stay updated on tools, papers, and real-world applications.
Best for: All levels
Learning tracks
A suggested path from foundations to advanced topics. Each step builds on the previous; formats (workshops, study groups, projects) map onto these stages.
Foundations
Math, Python, and basic ML concepts. Statistics, linear algebra refreshers, and your first models (e.g. regression, classification).
- Solid Python & numpy
- Basic stats & linear algebra
- First ML models (sklearn)
- Notebooks & reproducibility basics
ML
Classical ML in depth: feature engineering, model selection, evaluation, and simple pipelines.
- Feature engineering & selection
- Cross-validation & metrics
- Simple ML pipelines
- Intro to model interpretation
DL
Neural networks, CNNs, RNNs, and transformers. Training loops, optimization, and GPU usage.
- PyTorch / TensorFlow basics
- CNNs, RNNs, Transformers
- Training & debugging
- GPU workflows
MLOps
From experiment to production: versioning, CI/CD, monitoring, and deployment.
- Experiment tracking (e.g. MLflow)
- Reproducible environments
- Model serving basics
- Monitoring & retraining
LLM / Agents
Large language models, prompting, fine-tuning, and building agentic applications.
- Prompting & RAG
- Fine-tuning & adapters
- Agent design patterns
- Evaluation & safety considerations
How we teach
Learn by building
We prioritize hands-on projects over passive theory. You learn by implementing, debugging, and shipping real deliverables.
Peer learning & mentorship
Knowledge flows both ways. Study groups and peer review create a supportive environment; mentors help you level up faster.
Real deliverables (portfolio)
Every format aims at something you can show: code, docs, demos. Build a portfolio that reflects what you can do.
Reproducibility & documentation
We encourage clean code, READMEs, and reproducible setups. Good habits here translate to industry and research.
Feedback loops (reviews, demos)
Regular reviews and demos keep you accountable and improve quality. Present your work and iterate on feedback.
Responsible AI mindset
We integrate ethics, bias, and safety into the conversation. Responsible AI is part of the curriculum, not an afterthought.
What you gain
For students & learners
- Structured path from foundations to advanced topics (ML, DL, MLOps, LLMs)
- Hands-on experience with real projects and portfolio-ready deliverables
- Peer support and mentorship from experienced practitioners
- Regular feedback through reviews and demos
- Exposure to industry tools and best practices (reproducibility, MLOps)
- Community and networking within the 42 ecosystem and beyond
For companies & partners
- Access to motivated learners and future AI talent
- Visibility and engagement with the 42 community
- Opportunities to shape curriculum and sponsor sessions
- Early connection with people building practical AI skills
Join the next session
Check upcoming workshops, bootcamps, and study groups—or get involved as a mentor or partner.