agentic ai — course & live cohorts
Put AI to work in your real workflows.
A hands-on course for professionals who want AI doing useful work — not just answering questions. Learn to design, run, and evaluate AI-enabled processes, explained in plain language. No programming background required.
workflowsagents-and-toolsevaluationgovernance
1. read new invoices from inbox ✓2. extract vendor, amount, due date ✓3. flag anything over $5,000 → 2 flagged4. draft approval emails ✓5. wait for your sign-off ● waiting
paused — nothing sends without a human
what you'll learn
From "AI is interesting" to AI doing real work
You'll work hands-on with current AI tools on workflows that look like your own — and build the judgment to know when the results are good, and when they're not. Exact dates and the final curriculum are still being settled — the waitlist hears first.
- Designing AI-enabled workflows — break a real business process into steps AI can genuinely help with.
- Agents, tools, and orchestration — what these words actually mean, and when each is the right choice.
- Instructions that hold up — write prompts and process definitions that produce consistent results, not one-off demos.
- Evaluating quality — judge AI output, catch failures, and tell whether a workflow is getting better or worse.
- Guardrails and governance — set boundaries on what AI may do, and keep a human where one belongs.
- Working alongside AI — practical habits for delegating to AI without losing sight of accountability.
who it's for
Built for the people who own the process
A good fit if you…
- Run or manage business processes AI could help with
- Use ChatGPT-style tools and suspect there's much more
- Are accountable for the quality and risk of AI use at work
Probably not for you if you…
- Want to build production AI software from scratch — that's an engineering course
- Are looking for machine learning theory or the math behind models
live cohorts
Self-paced when you want it. Live when it helps.
Cohorts are live, remote, and small. You get structure, momentum, and a real person answering your real questions — the things that are hardest to get from a video library.
- Instructor-led sessions — live and remote, not pre-recorded.
- Hands-on exercises — you build the workflows during class, not after.
- Structured progression — each week builds on the last.
- Live questions — get unstuck in minutes, not days.
- Practical projects — finish with a working workflow you can point to.
- Feedback and peers — direct guidance, and classmates solving the same problems.
teaching approach
How the teaching works
Practical over theoretical
Concepts are introduced when you need them to build something, not as a syllabus to memorize.
Learn by building
Every session ends with a workflow that runs. Small wins compound into real capability.
Plain language
Agents, orchestration, evaluation — every term gets a working definition you can repeat to your team.
Skills that transfer
Exercises mirror actual work: messy inputs, changing requirements, and results someone has to stand behind.
instructor
About David Stanek
David Stanek is a software engineer and educator with nearly three decades of professional experience. As a Principal Cloud Software Engineer at HPE, he works with the technologies and practices that power modern organizations.
Since 2019, David has taught Python at Case Western Reserve University, helping students without technical backgrounds learn how to apply technology to real business and workplace problems. He believes people do not need to become software engineers to benefit from tools such as Python, cloud computing, automation, and artificial intelligence.
His courses are designed to make modern technology accessible, practical, and useful, giving learners skills they can begin applying immediately.
expertise: software engineering · cloud · automation · ai · teaching
waitlist
Be first to hear when Agentic AI enrollment opens
Join the waitlist and you'll get announcements and early enrollment access for the Agentic AI course — nothing else, and you can unsubscribe any time.
Pairs well with the Python course — same plain-language approach, and a little Python multiplies what your workflows can do.