Program · Engineering
AI-Led SDLC
Training for engineering teams on using Claude, GitHub Copilot, Codex, and AI workflows for code review, test generation, documentation, architecture thinking, and engineering productivity.
Who it is for
- Engineering teams adopting AI inside daily workflows
- Tech leads and engineering managers driving productivity
- QA, SDET, and platform teams modernizing tooling
- L&D heads supporting an AI-ready engineering org
What your team will learn
- How to integrate AI into the modern SDLC end-to-end
- Engineering-grade prompting for review, tests, and docs
- Architecture and design discussions with AI as a thinking partner
- Productive workflows across Claude, Copilot, and Codex
- Responsible engineering use of AI
Sample modules
Module-level depth, calibrated to your team
- 1AI in modern SDLC
- 2Prompting for engineering teams
- 3Code review with AI
- 4Test case and unit test generation
- 5Documentation workflows
- 6Architecture and design discussions with AI
- 7Productivity workflows using Claude, GitHub Copilot, and Codex
- 8Responsible engineering use of AI
Delivery format
- Hands-on workshops with real repos and review flows
- Cohort programs for cross-team adoption
- Engineering leadership briefings and adoption playbooks
- Tailored to your stack, language, and review culture
Let's talk
Bring AI-Led SDLC to your team
Tell us about your audience, timing, and outcomes. We will tailor the program to fit.