Over the break I put together my tentative learning plan for 2026. I am considering doing a discussion session every other week (day/time is TBD, but evening PST is expected) if there are others that would like to learn together. The target audience for this learning plan is mostly solution architects that need/want to dive deeper into AI systems and in particular enterprise-forward agentic systems. I plan for most of my hands-on practice to be Glean-focused, so that I can apply any lessons learned to supporting Glean customers.
2026 Enterprise AI Learning Plan
Theme: Agentic Systems, Knowledge Layers, and Enterprise AI Platforms
Primary Tools & Platforms: Claude Code, Cursor, Glean, Python
Audience: Solutions Architects (Enterprise AI Platform)
Mode: Self-directed + discussion sessions every other week.
Weekly Commitment: ~10 hours/week (estimated)
Structure:
Each quarter is designed to approximate the workload of a 3–4 unit upper-division or graduate CS course.
Weekly breakdown (approximate):
- Reading / structured study: 2 hours
- Hands-on labs & projects: 4 hours
- Peer discussion & collaborative learning: 2 hours
- Reflection, synthesis, and documentation: 2 hours
Full Reading List:
Each quarter has an “AI classic” book, a “modern enterprise agentic” book, and a hands-on book or series of hands-on resources. Q1 is locked in, but Q2-Q4 are tentatively planned considering how quickly things evolve.
Q1: AI Value, Economics, and Reality Checks
Q2: Human + Agent Collaboration (tentative plan)
Q3: Agentic Platforms and Knowledge Layers (tentative plan)
Q4: Enterprise Operating Models and Platform Scale (tentative plan)
