WorkshopUpcomingBeginner
Workshop: Prompting and Tool Use for Student Agents
Hands-on workshop to build a small tool-using agent with basic guardrails and evaluation.
12 Mar 2026 · 0min · Workshop · Beginner · 42 Paris Campus — Room A2
AI Learning Architecture
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.
6 formats
5 learning stages
Industry-ready focus
Sessions
Upcoming pedagogy sessions
Workshops, bootcamps, study groups, talks, and project reviews. Find one that fits your level and schedule.
BootcampUpcomingIntermediate
Bootcamp: RAG for Internal Knowledge (Notion + PDFs)
A one-day bootcamp to ship a RAG assistant with citations, retrieval metrics, and a simple UI.
2 Apr 2026 · 0min · Bootcamp · Intermediate · Hybrid — 42 Paris Campus + livestream link (sent after registration)
TalkUpcomingBeginner
Talk: What We Learned Shipping LLM Apps at Student Scale
A practical talk on reliability, safety, and evaluation when many student teams ship LLM apps.
14 May 2026 · 0min · Talk · Beginner · Online — Zoom (link sent after registration)
Project ReviewUpcomingIntermediate
Project Review: Mid-Semester Demo Day (Agents + Tooling)
Live demo day for student teams to get structured feedback on agents, tooling, and evaluation.
18 Jun 2026 · 0min · Project Review · Intermediate · 42 Paris Campus — Auditorium
Formats
Learning formats
Focused sessions, intensive bootcamps, ongoing study groups, and one-on-one support—each format fits a different learning goal.
2hBeginners to Intermediate
Workshop
Focused, hands-on sessions on a specific topic.
WeekendIntermediate
Bootcamp
Intensive short programs covering a full topic from A to Z.
WeeklyBeginners to Advanced
Study Group
Regular meetups following a shared curriculum.
OngoingAll levels
Mentoring
One-on-one or small-group guidance from experienced members.
On demandIntermediate to Advanced
Project Review
Structured feedback sessions on your code, model, or design.
45min–1hAll levels
Talk
Technical talks and demos from community members or guests.
Progression
Learning tracks
A suggested path from foundations to advanced topics. Each stage builds on the previous; formats map onto these stages.
1
Stage 1
Foundations
Math, Python, statistics, linear algebra, first ML models.
- Python & NumPy
- Basic statistics
- Linear algebra refreshers
- First models (sklearn)
2
Stage 2
ML
Feature engineering, model selection, evaluation.
- Feature engineering
- Cross-validation
- Simple pipelines
- Model interpretation
3
Stage 3
DL
Neural networks, CNNs, RNNs, transformers.
- PyTorch / TensorFlow basics
- CNNs & Transformers
- Training & debugging
- GPU workflows
4
Stage 4
MLOps
From experiment to production.
- Experiment tracking
- Reproducible environments
- Model serving
- Monitoring & retraining
5
Stage 5
LLM / Agents
Large language models and agent systems.
- Prompting & RAG
- Fine-tuning & adapters
- Agent design patterns
- Evaluation & safety
Methodology
How we teach
Principles that guide every format and track: hands-on work, peer learning, real deliverables, and responsible AI.
Learn by building
We prioritize hands-on projects over passive theory.
Peer learning & mentorship
Study groups and peer review create a supportive environment.
Real deliverables (portfolio)
Every format aims at something you can show: code, docs, demos.
Reproducibility & documentation
Clean code, READMEs, and reproducible setups.
Feedback loops
Regular reviews and demos to improve quality.
Responsible AI mindset
Ethics, bias, and safety integrated into the curriculum.
Outcomes
What you gain
Whether you're a learner or a partner, here is what the pedagogy program delivers.
For students & learners
- Structured path from foundations to advanced topics
- Hands-on experience with real projects
- Peer support and mentorship
- Regular feedback through reviews and demos
- Exposure to industry tools and best practices
- Community and networking opportunities
For companies & partners
- Access to motivated learners and future AI talent
- Visibility within the 42 ecosystem
- Opportunities to shape curriculum and sponsor sessions
- Early connection with practical AI builders
Join the next session
Check upcoming workshops, bootcamps, and study groups—or get involved as a mentor or partner.