Every current course with the shortest commitment.
Choose MonthlyEverything a GoogleL7 knows. Mapped.
Learn what it takes to operate at a senior level: sequenced courses in AI research, system design, and ML math, built for developers and researchers.
Choose where to start
AI research
- Math foundations to LLMs
- Landmark papers, in order
- GPU and tooling practice
System design in depth
- Notes and case studies
- From-scratch implementations
- Built for senior interviews
Advanced ML Maths
- Sets and logic to inference
- Linear algebra and calculus
- Interactive checks throughout
Inference engineering
- Latency and cost budgets
- KV cache and batching math
- Quantization tradeoffs
Open robotics
- ROS 2 and simulation first
- Control, perception, navigation
- Up to the hardware boundary
Skillmaxing is a workspace for deliberate technical practice, not another catalogue of tutorials.
It gathers the material that usually takes years to discover, filter, and connect, and keeps it maintained weekly so there is one place to keep widening your range.
That saves you from sifting through papers, books, courses, videos, and blog posts just to learn what is worth your evening.
Enter at any level and move at your own pace. The aim is the taste, context, and judgment behind staff-level engineering work.
Everything else on skillmaxing.
The same full access at the lowest recurring monthly rate.
Choose AnnualAll current tracks, every future course, and every update.
See lifetime offerQuestions people ask before joining.
Everything worth knowing before you pick a path. If it is not here, ask and it will be added.
Where should I start?
What is actually inside AI Research?
What is actually inside System Design?
Is this only for interview prep?
Can I use it before paying?
How often does the material change?
Check out the roadmaps.
See what to learn, in what order, then start with the first useful branch.