Open Models, Sovereign AI, Systems, Scale and Product Research and Deployment Engineering

Courses · 05 of 05

Hands-on craft, engineering and research with models that already exist. Every build pairs one module below with one domain: healthcare and life sciences, biology, physical AI, scientific discovery, or automated research.

For: Builders and engineers who learn by making things
Outcomes: Build working applications with small and open-weight models
Adapt a model to a task — prompting, fine-tuning with LoRA, and distillation
Make models small and fast — quantization, efficient inference and serving on modest hardware
Reason about sovereign AI — open weights, national capability, and who depends on whom
Evaluate honestly what a small model can and cannot do, with users in the loop
Carry a system from experiment into a product and a deployment
Keep a portfolio of models, Spaces, datasets and repositories that shows the craft

Modules

01Open models — the toolkit, and what open weights make possibleplanned
02Adaptation — fine-tuning, LoRA and distillationplanned
03Systems and scale — quantization, inference, serving and costplanned
04Sovereign AI — open weights, national capability and dependenceplanned
05Product research — building with models, and evaluating with usersplanned
06Deployment engineering — taking a system into a real environmentplanned
07Portfolio — models, Spaces and repositories that show the craftplanned

01Open models — the toolkit, and what open weights make possible

Planned

02Adaptation — fine-tuning, LoRA and distillation

Planned

03Systems and scale — quantization, inference, serving and cost

Planned

04Sovereign AI — open weights, national capability and dependence

Planned

05Product research — building with models, and evaluating with users

Planned

06Deployment engineering — taking a system into a real environment

Planned

07Portfolio — models, Spaces and repositories that show the craft

Planned