Applied AI for Knowledge Workers
Become the AI person in your organization.
A practical program for professionals who want to use AI to do better work, lead adoption on their team, and prove the results with real numbers. We teach the foundations underneath the tools, so your skills hold up no matter which model your organization uses next year.
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What you walk away with
Every part of the program ends in something you can use at work the following week.
Workflows you can use immediately
Repeatable processes for email, writing, research, reporting, and marketing that fit how your team already works.
AI connected to your tools
Connect AI to Excel, documents, email, calendars, and the other systems your organization runs on, so it works with your real information.
Skills that outlast any one product
The program is model agnostic. Whether your company uses ChatGPT, Claude, Gemini, or Copilot, you will understand how they work and how to get reliable results.
Measurable time savings
Find the tasks worth automating, measure before and after, and report the return. In some cases, the manual work on a task drops by up to 90 percent.
Responsible, practical adoption
Know how to handle privacy, sensitive data, bias, and policy, and how to bring a skeptical team along with you.
The ability to teach others
Explain these tools in plain language so you can lead AI enablement and train the people around you.
Our approach
We teach the foundations, not a pack of prompts.
Most AI training hands you a list of prompts and calls it a skill. Those prompts stop working the next time a model updates or your company switches vendors.
This program starts with how large language models actually work, in plain terms. Once the magic is gone, you can reason about any tool: what it does well, where it fails, and how to check its work.
The result is a skill set that makes you more valuable to your employer, strengthens your case for higher compensation, and gives you back hours every week.
Curriculum
Five levels, each built on the one below it
The program moves from understanding, to application, to automation. Start at the base and work up.
Level 5
Automation
Scheduled workflows, multi-step automations, and connectors that run without you watching.
Level 4
Everyday workflows
Email, writing, marketing material, images, slide decks, and short animations. The daily work most people can speed up first.
Level 3
Ethics, privacy, and adoption
What is safe to share, how to catch bias and errors, how to work within company policy, and how to get your team on board.
Level 2
Connecting AI to your tools
Excel, documents, email, calendars, and other business systems. How connectors work and how to give AI the right context to do useful work.
Level 1
Foundations
How large language models work at a high level, the vocabulary that matters, and how to explain it to a non-technical colleague. This takes the magic out and makes everything above it make sense.
Capstone
Automate a real task, end to end, and prove it worked.
If you are working, you build inside your own organization. If you are not, you choose a realistic project. Either way, you pick a task, measure how it is done today, automate it, and measure again.
The point is to make data-driven decisions about AI: where it pays off, where it does not, and what the true return is.
What you deliver
- A working automation for a real task
- A before and after measurement of time, cost, and quality
- An ROI summary you can share with leadership
- A short presentation that teaches the workflow to others
Who it's for
Built for professionals, not programmers
No coding background is required. If your work runs on documents, spreadsheets, email, or customers, this program applies to you.
Operations and administration
Teams that move information between systems, build reports, and handle repetitive requests.
Marketing, communications, and sales
People producing content, campaigns, and outreach who need more output without lowering the bar.
Managers and team leads
Leaders asked to bring AI to their team who want a plan that holds up to scrutiny.
Common questions
Do I need a technical background?
Which AI tools will we use?
Will I get a library of prompts?
How are privacy and sensitive data handled?
Can I apply this to my current job?
Lead AI adoption with confidence.
Walk away with practical workflows, a measured project, and the foundation to keep learning as the tools change.
Tuition