Becoming an AI Engineering Leader
Part of the Vibe Coding: Multi-Agent Engineering course
This is the last lesson of the advanced course and the last lesson of the whole three-course path. You started by learning that AI is not magic. You learned to build a product, then to ship it to production, then to stop leaning on one assistant and lead a team of specialized agents instead.
You have met every one of these roles across the course. An agent is just the same AI given one focused job, its own instructions, and its own slice of the work. Leading a project means bringing the whole roster together on purpose rather than reaching for whichever agent is nearest. ...
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Start this lessonBecoming an AI Engineering LeaderWhat you'll learn
- Assembling the full AI engineering team and giving each agent its role
- The seven roles: product manager, architect, developer, reviewer, security, DevOps, and operations
- Running a project through the whole workflow: plan, build, review, secure, ship, operate
- Handoffs that carry decisions and context, not just the next instruction
- Leading the team rather than doing the work, and holding the quality standard
- Carrying the whole approach into the founder's own real projects
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All lessons in this course
12 lessons- 1Thinking Like an Engineering Leader20 min
- 2Creating Specialized AI Agents20 min
- 3Giving Every Agent a Role20 min
- 4Managing AI Collaboration30 min
- 5AI Code Reviews30 min
- 6AI Project Management20 min
- 7AI DevOps30 min
- 8AI Security Teams30 min
- 9AI Operations30 min
- 10Building Your Own AI Workflow20 min
- 11Scaling AI Teams20 min
- 12Becoming an AI Engineering Leader45 min
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