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Your Path to Agentic AI Mastery
Whether you're building your first AI agent or architecting enterprise systems, this is your roadmap. Start with the fundamentals and progress through increasingly sophisticated patterns.
Start Here
New to agentic AI? Begin with the Nine Skills Framework to understand what makes AI systems reliable. Then dive into AI Foundations to learn how to build them.
The Nine Skills Framework
The competencies that separate AI experiments from AI systems. Nine essential skills organized into three pillars:
Pillar 1: Autonomous System Architecture
The foundation for AI that can act independently.
- Orchestration — Designing workflows that coordinate multiple AI agents
- Interoperability — Building systems that communicate across platforms
- Observability — Monitoring AI behavior in production
Pillar 2: Data-Centric AI Engineering
Managing the information that powers intelligent decisions.
- Memory Architecture — Persistent knowledge for long-running agents
- Context Economics — Optimizing the most expensive resource in AI
- Data Governance — Trust and quality in AI data pipelines
Pillar 3: Security, Governance & Capability
Building AI that's trustworthy and capable.
- Identity Management — Non-human identity for autonomous systems
- Tool Engineering — Extending AI capabilities safely
- Security & Resilience — Defending against adversarial threats
AI Foundations
I'm building and teaching the complete infrastructure stack for agentic AI applications—publicly, explaining every architecture decision.
Level 0: Full-Stack Foundations
Production-ready patterns for FastAPI, PostgreSQL, React, and TypeScript. The 5 Guardrails every application needs: Tests, Linting, Types, Logging, Architecture.
Level 0.5: Authentication
Identity and access management for AI systems. JWT, RBAC, and secure session handling.
Level 1: AI Agent Core
Reusable components for any agentic application: LLM clients, tool frameworks, agent orchestration, and memory/context management.
Level 2: Domain Patterns
Reusable patterns for specific domains—investment analysis, operations, customer service, and more.
Level 3: Applications
Complete agentic AI applications built on the foundation layers. Real-world systems you can study and adapt.
Videos
Deep dives on specific topics, from context economics to non-human identity management. Each video includes full transcripts for reference.
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