AI Systems Expert, Operator, Generalist

4 people enrolled last week.
You're the person who figures things out. Complex projects, cross-functional chaos - you've handled all of it. But AI keeps slipping through your fingers.
โ You've tried ChatGPT. Helpful for drafts, but nothing that actually moves the needle.
โ You've followed tutorials. They work until something breaks - then you're lost.
โ You've submitted specs to engineering. Still in the backlog.
I've been exactly where you are. Four years ago I was a Chief of Staff asked to "AI-ify" my company with zero technical background.
I learned - through trial and error, 30+ implementations, and building systems that now drive revenue - that the gap isn't coding. It's understanding how this stuff actually works.
Most AI courses teach tools that change and basic, surface-level prompting. This course teaches principles and tactics tailored for non-technical operators:
โ How to approach problems in this new AI-first operating model
โ How AI actually works (enough to make smart decisions, not enough to bore you)
โ Hands-on guidance to build systems that last and scale - regardless of which model drops next week.
You'll leave with a working solution deployed and the understanding to build ten more.
A complete framework for non-technical operators to architect, build, and ship AI solutions that last - no coding required.
What LLMs are doing under the hood - tokens, context windows, probabilities - so you understand why outputs vary and how to control them
Understand model differences (GPT vs Sonnet vs open source) and when to use each based on cost, speed, and quality
Spot when AI is confident but wrong - the skill that separates builders from people who just follow tutorials
Break down operational problems into compontents using frameworks that work regardless of which tool you choose
Choose between Custom GPTs, workflows, and agents based on your problem type - not based on what's trending
Make confident technical decisions (platform, model, integrations) without needing to become a developer
Construct workflows in n8n from scratch - triggers, AI nodes, integrations - following along as Harry builds live
Create Custom GPTs with actions, structured outputs, and knowledge bases that actually solve problems
Debug when things break - hallucination, rate limits, failed integrations - and fix them without waiting on anyone
Set up monitoring and alerts so you know when something breaks before your team tells you
Run soft launches, gather feedback, and iterate - the deployment patterns that lead to adoption, not abandonment
Communicate ROI to leadership so you build credibility and momentum for the next solution

Founder of OneTwo Growth Studio - Helping teams build practical AI solutions

BizOps, RevOps, Product Ops (5-10+ yrs) tired of specs sitting in backlogs.
Build your own AI solutions instead of waiting on eng.
Chiefs of Staff (2-5 yrs) handed "figure out AI" without the toolkit.
Get the skills to build, not just coordinate.
Special Projects Leads (5-10+ yrs) expected to deliver AI results, not just research them.
Become the person who delivers, not delegates.

Live sessions
Learn directly from Harry Siggins in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Office Hours
Blocked time throughout the course for additional support, troubleshooting, and strategy.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
4 live sessions โข 14 lessons โข 4 projects
Jan
13
Foundation + Solution Engineering Theory
Jan
16
Building Blocks
Jan
19
Building, Scaling & Troubleshooting
Jan
23
Deployment, Adoption & Measuring Impact
Live sessions
6 hrs
Tue, Jan 13
4:30 PMโ6:00 PM (UTC)
Fri, Jan 16
4:30 PMโ6:00 PM (UTC)
Mon, Jan 19
4:30 PMโ6:00 PM (UTC)
Fri, Jan 23
4:30 PMโ6:00 PM (UTC)
Projects
3-4 hrs
Optional Async content
2 hrs

Darcy Rubel
Shanshan Thompson
$695
USD