Most AI Pilots Fail to Scale. MIT Sloan Teaches You Why — and How to Fix It
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Discover the core concepts and technical skills required to become a successful AI developer.
Syllabus
Introduction
- Tools for AI engineers to lead through change
- Embarking on the AI journey
- Software developer to AI engineer
- Pairing cognition and context
- Coding: Adaptable recipes
- AI's evolution is a lot like cooking's evolution
- Coding: Contextual recipes
- Embracing failure is healthy
- Coding: Observable recipes
- Managing AI risks
- Coding: Responsible recipes
- Tell powerful stories
- Coding: Narrative-driven recipes
- Agent to multi-agents
- Coding: Multi-agent recipes
- Closing the kitchen
Taught by
John Maeda