Curriculum
8 weeks from AI strategy to board-ready roadmap.
Weeks 1-2
AI Foundations
- • LLMs, embeddings, and prompt engineering
- • Use case identification framework
- • ROI modeling and business case development
- • Understanding AI capabilities and limitations
Weeks 3-4
Technical Architecture
- • RAG systems and knowledge retrieval
- • Agentic AI and tool use
- • Fine-tuning vs. prompt engineering tradeoffs
- • Infrastructure and scaling decisions
Weeks 5-6
Implementation Strategy
- • Vendor evaluation and build vs. buy decisions
- • Team structure and AI talent acquisition
- • Security, privacy, and compliance
- • Change management and organizational adoption
Weeks 7-8
Strategy Presentation
- • Build comprehensive AI roadmap
- • Create board presentation
- • Present strategy to cohort for feedback
- • Finalize implementation plan and budget
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