// school · ai-engineering
⚡AI Engineering
LLM integration, RAG pipelines, fine-tuning, and AI application architecture. The #1 fastest-growing job title in tech.
Start This School// career outcomes
Where This School Takes You
// core skills
What You Will Master
// your path
Path Through This School
Phase 01
Foundation
Prove your fundamentals. Python, Git, SQL, APIs, Docker, and AI basics — calibrated to your level before you touch AI Engineering.
Phase 02
Build
Work through real AI Engineering tickets inside virtual companies. Ship features, fix bugs, and build systems under production constraints.
Phase 03
Prove
Every submission is scored across 5 dimensions. Build a verified Proof-of-Competency profile that proves you can do the work of a AI Engineer.
// your faculty
Your Faculty
Dr. Amara Osei
Dean
Calm authority. 20 years of simulated industry experience. Frames every milestone in terms of the learner’s career trajectory.
Kaia
Lead Instructor
Direct, challenges learners aggressively. Pushes past comfort zones. Never accepts "it works" without "and it scales."
Nadia
Embedding models, vector databases, retrieval quality
Hiroshi
LoRA, PEFT, training data curation
Zara
API design, production serving, cost optimization
Ready to start AI Engineering?
Begin with Foundation. Prove your baseline. Then build real systems.
Start Building