AI engineering foundations
Build the Python, data, API, and machine-learning foundation needed for applied AI work.

Build AI that solves real problems.
Video · Reading · AI Tutor · Resources · Labs · Real Job PracticeYour earlier reference-section results stay recorded. Full-course completion also requires all 6 practical-studio checks and the existing final assessment. The studio contains 24 lessons; the 3 reference sections remain available.
Reference checks: 0 of 3 · Studio checks: 0 of 6.
Please wait while we check your signed-in account.
Build Python skills for data, models, services, and AI workflows.
Loading course details…
24 lessons with editable presentations, narration scripts, reading, offline programming labs and a final practical project. Videos and captions are still in production.
Practice by typing, drawing with a stylus or mouse, or writing on the printable workbook. The workspace includes code and math symbols, local drafts and exportable evidence for peer or instructor review.
FREE CAREER PATH PREVIEW
Get a feel for the work. See what you’ll learn. Take your next step.
Build, secure, and deploy AI applications through practical projects.
Your roadmap
Every phase adds knowledge, practice, and a portfolio result you can explain during an interview. Select an available course below to open its Video Lessons and Reading Lessons tabs.
Build the Python, data, API, and machine-learning foundation needed for applied AI work.
Build reliable LLM applications using prompting, retrieval, vector search, citations, and evaluation.
Create controlled agents and operate AI systems securely with monitoring and governance.
Inspect the existing AI stack on Day 1, complete realistic Week 1 tickets, and deliver a Month 1 internal assistant.
Technology toolkit