AI is rewriting the rules of software development.

Not just faster typing. Not just "vibe coding."

We help teams build from shared understanding—where everyone works from the same picture and changes are easy.

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Feb 9 – Feb 11, 2026
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Mar 3 – Mar 4, 2026
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Mar 10 – Mar 12, 2026
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Your team is using AI. But are they using it effectively?

Most teams generate requirements, code, and tests with AI—then discover nothing fits together: documents drift, code doesn't match specs, and tests validate yesterday's understanding.

We teach you to work differently: build from a shared model where AI maintains understanding across all your artifacts. When one thing changes, everything updates together.

We provide practical training for business analysts, testers, and developers who need their AI work to stay synchronized and maintainable.

How We Use AI

Generative AI is much more than just a search engine or a faster typist.

We teach you to build understanding through conversation with AI—not craft perfect prompts. The model evolves as you refine it. Requirements, designs, code, and tests become views of that shared understanding.

Change once, propagate everywhere—that's working from a model, not generating scattered artifacts.

This approach works with ChatGPT, Claude, or whatever comes next. You'll learn tool-agnostic principles that won't be obsolete in six months.

What This Enables

Remember those best practices you never had time for?

Complete traceability. Click a requirement, see the affected code and tests. Find a bug, trace it back to the spec. No matrices to maintain.

Real iteration. Try an approach, see it fully realized across requirements and code, evaluate it, pivot if needed. What used to take weeks now takes hours.

Actual agility. When artifacts stay synchronized automatically, you can respond to change instead of drowning in updates. Add a feature, everything adjusts. Refine a requirement, tests update. This is what agile always promised.

Exception handling that actually happens. "What could go wrong here?" gets you the scenarios you hadn't considered—not just the happy path you had time to document.

Impact analysis you can trust. "What breaks if we change this?" isn't guesswork anymore. See exactly what's affected across requirements, designs, and tests.

When everything's a view into one shared model, the practices you always knew mattered become automatic—not aspirational.

How We Teach

We don't lecture about transformer architectures or make you memorize prompt templates.

We start with YOUR work. The problems you're actually facing. The artifacts you actually create.

You'll learn by critiquing AI-generated examples—spotting what's wrong, what's missing, what assumptions it made. By the time you've evaluated twenty models, you know how to build one.

No certification checkboxes. No toy examples. Just a focused method applied to real work you can use Monday morning.

Why Model Compilers

Hear what real clients and students have to say.

The course content was highly relevant, focused and practical. The instructor's expertise shone through their ability to explain complex AI concepts in business analysis-relevant terms.

The fact that so much of it was hands on...the instructor actively encouraged and dived into discussions and showed us in real time how to use AI.

Very impressed with the perceptive insights into using AI as a tool for business analysis. Loved the instructor's enthusiasm to share his knowledge and imparting 'street smarts' about AI.

It was hands-on from minute one. Very informative and extremely useful. I have already implemented learnings in my daily BA activities

"This is one of the best courses I've attended."

Ready to learn?

Get practical AI training that keeps your requirements, designs, code, and tests in sync.

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