AI Agents: How to Gain 2026's Most In-Demand Skill

Hosted by Sara Davison and Tyler Fisk

Thu, Dec 11, 2025

5:00 PM UTC (1 hour 15 minutes)

Virtual (Zoom)

Free to join

169 students

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AI Build Lab Accelerator: Build, Launch & Scale Real World NoCode AI Solutions
Sara Davison and Tyler Fisk
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What you'll learn

The 4-layer skill stack to go from User to AI Practitioner

... and why skipping layers is why most people stall

The shift from builder to orchestrator

What's actually changing in how AI agents and what it means for you

Why tool expertise is becoming table stakes

And what's replacing it as the real differentiator

The skills you need to move from tinkerer to implementer

We’ll break down the capabilities companies are hiring for and consultants are charging premiums for

How to build your portfolio of agentic systems

See how non-technical builders can go from raw pain point to agent MVP using real-world frameworks and tools.

Why this topic matters

94% of leaders say they're facing AI talent shortages. But the gap isn't "knows AI" vs "doesn't." It's people who use tools vs people who design systems. The roles emerging: AI Agent Manager, Orchestration Engineer, Agentic Practitioner didn't exist 12 months ago. The window to position yourself is now.

You'll learn from

Sara Davison

Co-Founder, AI Build Lab, Agentic AI Practitioner

I help non-technical professionals become Agentic AI Practitioners, through frameworks and hands-on execution, not theory. At AI Build Lab, I’ve taught thousands in live workshops, educated 10,000+ people, and graduated 1,000+ agentic practitioners. My mission: make AI accessible, useful, and powerful for people who want to lead with it in this next era.

Tyler Fisk

Co-Founder, AI Build Lab, Agentic AI Practitioner

With 20+ years turning startups into scale machines, I’ve moved from hands-on e-commerce growth to becoming a practitioner in agentic AI systems. At AI Build Lab, I teach real-world, no-code workflows that drive revenue and retention helping non-tech operators build AI agents that solve business problems, not just experiments.

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