Applied AI Fellowship
A production-grade Applied AI capability framework designed for working professionals in enterprises and governments.
Why This Course Exists
After two decades of leading product and engineering teams across industries - from climate tech to blockchain, from startups to large enterprises - I've seen too many AI projects fail. Not because the technology wasn't capable, but because teams lacked the foundational knowledge to make sound decisions, build safely, and deliver value.
In my current role leading AI transformation at a major university, I'm driving AI SDLC transformation, mentoring teams to democratize data, and spearheading AI applications across the organization. This experience has reinforced a critical gap: there's a chasm between AI hype and production reality.
This fellowship exists to bridge that gap. It's born from the need to equip professionals with practical, production-grade capabilities - not just theoretical knowledge or prompt engineering tricks, but the judgment, rigor, and governance skills needed to build AI systems that work, scale, and earn trust.
Whether you're an executive making investment decisions, a product strategist designing value propositions, or an engineer building agentic systems, this program provides the structured learning path to develop real capability. Each track is designed for a specific audience, with multiple levels that build from foundation to mastery.
What Makes This Different
- No hype - Focus on practical, production-ready AI
- No prompt-only learning - Deep understanding of AI systems
- Governance-first - Built-in risk management and accountability
- Artifact-driven - Real deliverables, not just theory
Our Methodology
This fellowship is built on proven educational frameworks - Bloom's Taxonomy, knowledge dimensions, artifact-based assessment, and explicit focus on transfer and judgment. Learn more about our methodology →
Program Overview
The Applied AI Fellowship is a comprehensive 20-week program with five tracks designed for different audiences. Each track contains multiple levels with specific learning outcomes, allowing you to progress from foundational to advanced capabilities within your role.
Five Learning Tracks
Choose the track that matches your role and goals:
- T1: Executive AI Program - For decision-makers who need to understand AI strategy, risk, and governance
- T2: Product Strategist - For product leaders designing AI value propositions and roadmaps
- T3: Delivery Leader - For project managers shipping safe, governed AI systems
- T4: Agentic Systems Engineer - For engineers building autonomous AI agents with proper guardrails
- T5: Context & Memory Architect - For architects designing intelligent systems with advanced memory and context
Program Structure
- 20-week intensive fellowship
- 5 audience-specific tracks - Each track designed for a specific role
- Multiple levels per track - Progress through levels with defined learning outcomes
- Artifact-based assessment - Build real, reusable deliverables
- Credentialed badges - Earn industry-recognized certifications
- Public sector variant - Specialized track for government and regulatory contexts
Outcomes
- Better decision-making - Know when to invest in AI and when to avoid it, reducing wasted effort on unsuitable projects
- Higher success rate - Governance-first approach increases project success
- Stronger trust - Built-in accountability and auditability
Getting Started
Explore the learning tracks to find your path, review the schedule by track, learn about our methodology, or discover credentialing and badges.
Ready to get started? Get in touch to learn more or apply.