Everything aGoogleL7 knows. Mapped.
Learn what it takes to operate at a senior level — sequenced courses in AI research, system design, and ML math, for developers and AI researchers.
Choose where to start
Inside the TeamIn learning box
TeamIn is not a course, a roadmap, or another ed-tech platform.
It brings together material that usually takes years to discover, filter, and connect. We maintain it weekly, so you always have one place to keep expanding your technical range.
It saves you from checking endless papers, books, courses, YouTube videos, and web resources just to know what is worth your time.
You can enter from any level and move at your own speed. The point is to build the taste, context, and judgment behind Staff and L7-level engineering work.
- 01Notesannotated reading
- 02Daily briefresearch feed
- 03Booksreference shelf
- 04Toolscurriculum
- 05Math drillsfoundation cards
Contents
of the learning box
Everything else on TeamIn.
Questions people ask before joining.
Where should I start?
Start free. If you want AI papers and models, open AI Research. If you want architecture judgment and interviews, open System Design. If the math is the blocker, start ML Math.
What is actually inside AI Research?
A sequenced path through math fundamentals, core model intuition, PyTorch, TensorFlow, neural networks from scratch, transformers, reinforcement learning, LLMs, fine-tuning, research writing, and MLOps.
What is actually inside System Design?
System Design pairs archive notes with builds and case studies. You learn the concept, inspect a small implementation, then apply it to architecture problems like rate limiting, migrations, search, recommendations, and geospatial systems.
Is this only for interview prep?
No. The interview angle is useful, but the product is really about technical judgment: knowing which mechanism matters, what it costs, and when a simpler design is better.
Can I use it before paying?
Yes. Free lessons, public labs, Daily TeamIn, and previews are available before checkout. Paid plans unlock full tracks and ongoing updates.
How often does the material change?
TeamIn is maintained as a living archive. New notes, links, lessons, builds, and course updates are added as the field changes.
Three fields / one map
Check out the roadmaps.
See what to learn, in what order, then start with the first useful branch.