AI-Augmented Workflows end-to-end
The capstone of the AI-augmented track. We take a small feature from request → branch → code → tests → PR → review → deploy → observe, with AI involved at every phase and a single prompt log as the spine. Then we triage a production incident with AI as a triage partner, while protecting secrets and avoiding fabrication risks. The deliverable is an evidence pack that future reviewers (or hiring managers) can… Built for final-year students and early-career engineers. Includes a structured lesson plan and hands-on exercises you can complete with an AI coding assistant.
Taught by Amit Ranjan
Course content
1 sections · 4 lessons · 1h 53m
1.Module materials
4 lessons- Session lesson29mPreviewOpen preview
- Exercises32m
- Session guide26m
- Facilitator notes26m
Instructor
Amit Ranjan
Industry practitioners teaching AI-augmented software engineering.
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