Practical AI courses for the work people actually do.
Off-the-shelf AI courses are too generic. What a finance lead needs is different from what a customer support rep needs. Ours are built around specific functions and roles — not around the technology — with hands-on labs in real tools, role-relevant exercises, and quarterly refreshes so they stay current as the AI tooling moves.
The standard AI course online is "Introduction to Large Language Models" or "Mastering ChatGPT in 30 Days." It is well-meaning. It is also wrong. The people in your company who need to be more capable with AI do not need a comparative survey of model architectures. They need to know exactly what AI can do for the work in front of them — and how to actually do it without leaking client data or producing output that embarrasses the company.
Every course we offer starts from a specific function. AI for Finance Operations does not begin with model history. It begins with "here is how a finance team uses AI for variance analysis." AI for Customer Support does not start with prompt theory. It starts with "here is how a support rep uses AI for ticket summarization." Theory shows up only where it serves the practical work, in the smallest dose that makes the work make sense.
The result is that a finance lead finishes our course with five concrete workflows they can actually use Monday morning. A support manager finishes with a structured rollout plan for their team. That is what useful training looks like.
Course catalog.
Six courses live today. Two more (AI for Marketing Teams, AI for HR & People Ops) are in development for Q3 2026.
Function · Finance
AI for Finance Operations
Variance commentary, expense classification, forecast prep, anomaly detection, monthly close acceleration. With the audit trails and control evidence your CFO needs to keep auditors comfortable.
5h Content3h LabsLive Tools
What you'll do
Build a variance commentary workflow on real GL data
Set up expense classification with a review checkpoint
Ticket triage, response drafting, knowledge-base retrieval, escalation workflows, voice-tone discipline. With a clear bright line on what AI is and is not allowed to do in front of the customer.
4h Content2h LabsLive Tools
What you'll do
Build a ticket-triage prompt for your actual taxonomy
Draft response templates that don't sound like AI
Design the human-in-the-loop pattern for complex cases
Account research, meeting prep packets, personalized outreach drafts, CRM hygiene assists, post-call summaries. With the discipline to keep the AI from sounding like AI in front of buyers.
4h Content2h LabsLive Tools
What you'll do
Build an account-research workflow from public sources
Draft a personalized outreach sequence in your voice
Set up post-call summary & CRM-update automation
Establish a "do not send anything raw from AI" rule and how to enforce it
The cross-functional course that any role-specific course assumes. Pattern-based prompting, common failure modes, when to use which model, and a workbook of exercises drawn from real knowledge work.
5h Content3h LabsMulti Tools
What you'll do
Master 8 reusable prompt patterns that cover most tasks
Diagnose and recover from the 5 most common failure modes
Build a personal "prompt library" for your recurring work
Develop the verification habit that catches AI mistakes early
What every manager deploying AI in their team needs to understand: data exposure scenarios, vendor due diligence, audit trail requirements, regulatory considerations, incident response. The course that keeps managers from accidentally creating a compliance problem.
6h Content2h LabsCases Drills
What you'll do
Audit a sample AI workflow for data-leak risk
Run a vendor evaluation against a published rubric
Walk through 3 real incident scenarios with a response plan
Draft AI policy language your legal team will actually accept
Process automation design, workflow analysis, KPI monitoring, capacity planning. Where AI legitimately replaces operational work, where it augments it, and where it should stay out of the way entirely.
5h Content3h Labsn8n Stack
What you'll do
Map a current ops workflow and identify three AI insertion points
Build a working n8n automation that uses Claude for a real task
Design a KPI dashboard that's part-AI, part-traditional
Develop the judgment for when AI is the wrong tool for the job
Self-paced. Enroll any time, complete on your schedule. Modules are 20-30 minutes each so they fit between meetings; you can finish a course over two or three weeks at a sustainable pace.
Cohort runs (optional). Quarterly cohort starts include a live kickoff, two live Q&A sessions, and a final project review. Better when you want shared accountability or you're running a team through together.
Hands-on labs. Every course has practical exercises in real tools — Claude, ChatGPT, Microsoft Copilot, or n8n depending on the course. You bring your own tool account; we provide the structured exercises and evaluation rubrics.
Workbooks & reference solutions. Downloadable PDF workbook of every exercise, plus reference solutions so you can self-check your work.
Completion certificate. Issued per course, scoped to the role and skills covered. Suitable for internal professional-development records.
Quarterly content refreshes. AI tooling moves fast. Your seat includes refreshed content for 12 months, with version notes when the curriculum updates.
Team licenses and company-wide rollouts.
For companies running multiple employees through the courses, team licenses are more economical than individual enrollment and easier to administer. A seat pool lets any employee draw down a license without per-person approval; we provide simple admin tooling for assignment and progress tracking.
Companies running a full rollout — multiple courses, full department or company-wide — typically pair the licensed courses with our live training programs as a kickoff, then use the on-demand courses for ongoing reinforcement and new-hire onboarding. That combination is what produces lasting organizational fluency rather than a one-time training event.
For exact volume pricing, reach out via the discovery call — the relevant variables are seat count, which courses you want included, and whether you want the live training kickoff bundled in.
Common questions
Most courses are 4-6 hours of content broken into 20-30 minute modules, plus practical exercises that add another 2-4 hours. Designed for completion across two or three weeks at a sustainable pace — not a single weekend cram. The AI Risk & Governance course is the longest at roughly 8 hours total because the audit and incident-response material warrants depth.
Both. Self-paced enrollment is open year-round and works for individuals or teams who want to move on their own schedule. Cohort-based runs happen quarterly with a live kickoff, two live Q&A sessions, and a final project review — better for companies that want shared progress and accountability.
Yes. Every course has lab exercises using actual AI tools — Claude, ChatGPT, Microsoft Copilot, or n8n depending on the course. You bring your own tool account (most have a free or trial tier sufficient for the exercises); we provide the structured exercises, evaluation rubrics, and example outputs to compare against.
A completion certificate, a downloadable workbook of the exercises with reference solutions, and access to the course's quarterly content refresh for 12 months. For cohort runs, you also get the recording of the live sessions and the final project review notes.
Individual enrollment per course, with team bundles for 5+ seats at a meaningful discount. Companies running employees through multiple courses typically license a seat pool that any employee can draw from. Exact pricing is on the enrollment page for each course; specific volume terms come up in the discovery call for company-wide rollouts.
Quarterly content refreshes are built into the course license. AI tooling moves fast — Claude releases new capabilities, ChatGPT shifts pricing, Copilot adds an integration — and a course taught against last year's version stops being useful quickly. Refreshes are versioned (Q1 2026, Q2 2026, etc.) and enrolled students get the new versions automatically as long as their seat is active.
Pick a course or scope a team license.
Individual enrollment, team bundles, or full company rollouts. Tell us what you need.
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