Courses that end in a shipped system, not a certificate.
Masterclass-grade B2B courses across six tracks — Foundations, Function, Leadership, Industry, Builder, Applied. Free to learn. Every course pairs with an optional 4-week pilot that turns what you learned into a working system inside your environment.
Six Tracks
Six paths through the catalog.
Pick a track to focus, or use the filters below to combine tracks with function, industry, audience, level, and stack.
Foundations
Start here if your team is new to AI.
AI literacy for everyone — what AI is, what it isn't, and where it fits in modern work.
By Function
Function-specific, with real workflows.
AI applied to the work you actually do — HR, Finance, Sales, Customer Service, Operations, Legal.
Leadership
Built for C-suites and boards.
Strategy, governance, risk, and ROI for executives and boards. No code.
By Industry
Sector-aware, regulator-conscious.
Vertical-specific AI applications — BFSI, Healthcare, Manufacturing, Government, Energy, Retail, Education.
Builder
Hands-on. Stack-flexible.
For technical practitioners — prompt engineering, agent design, RAG, MLOps, evaluation.
Applied (Case-led)
Learn by seeing it built.
Deep case studies — real-world applications walked through end-to-end.
Filter the catalog
AI Foundations for Everyone
The fastest way to get a non-technical team speaking the same AI vocabulary.
AI for HR & People Teams
Four HR AI plays sequenced over 18 months. Three lines we don't cross. The bias-monitoring discipline. The works council framework. Built for HR leaders who want to be early on AI — and disciplined about it.
AI for Finance & Accounting
Four plays that pay. One that wastes time. The 90-day data sprint that decides whether the rest works. Built for CFOs, controllers, and FP&A leads who want AI to show up in EBITDA — not just in the strategy deck.
AI Strategy for the C-Suite
No code. No demos. The four AI value patterns, the portfolio shape, capital allocation, governance and the board cadence — taught the way a peer would brief you.
AI in Financial Services
Four patterns that pay in regulated finance. The three filters every proposal must pass. The sovereignty posture your board signs. Built for the GCC, Indian NBFC, and African bank reality — not a startup deck.
Generative AI for Business
A manager's playbook for generative AI — discovery, pilot, vendor selection, adoption, metrics. Built so a team lead can walk into the next planning meeting with a 90-day plan instead of a vendor pitch.
AI for Sales & Marketing
Six revenue AI plays that ship value sequenced over two quarters — and three that consistently disappoint, named explicitly so the budget redirects. The disciplined workflow that doubles response rates against the AI-spam pattern collapsing the industry.
AI for Customer Service & Support
Three CS-AI patterns that ship — and two that drop CSAT 15–25 points, named explicitly. Plus the support-not-surveillance line on sentiment AI that decides whether the team leans in.
AI for Operations & Supply Chain
Six operations AI plays that ship — and three pitches that consistently disappoint, named explicitly. The data-stable filter sequences your roadmap and the AI-amplifying-OR framing keeps logistics honest.
AI in Healthcare
Four healthcare AI plays sequenced over 24 months, the one line we don't cross, PHI patterns, and the clinical-governance discipline that protects everyone. Built for the regulated reality of FDA, EU MDR, and GCC frameworks.
AI in Manufacturing
Plants don't tolerate vendor demos. Six manufacturing-AI plays that survive the shop floor — and three pitches that consistently fail, named explicitly. Plus the OT/IT bridge filter that sequences your roadmap.
AI Governance & Risk for Boards
No code. Eight chapters. The five questions, the four frameworks, the six risks, the eight numbers, the four-phase incident response — and a one-page board charter you can adopt at the next meeting.
Microsoft 365 Copilot Adoption Playbook
Most Copilot rollouts stall at 10–20% six months in. This is the honest IT/change playbook for landing at 70%+ — persona licensing, 4-week pilot, prompt libraries, governance, measurement, and the 90-day plan.
Building AI Agents with Copilot Studio
Power Platform builders: build agents that actually ship to production — three architectural decisions made deliberately, governance built in from chapter one, and the 12-item production-gate checklist that gets the agent through review.
AI Literacy for Non-Technical Teams
For non-tech functions — what AI is, what it isn’t, and the 10 prompts you can try Monday morning.
Prompting Mastery
Past basic prompts — structured outputs, reasoning, few-shot, evaluation, and prompt libraries that compound across a team.
Working with Copilots
You have the licence. Now — when to use Copilot, when to skip it, and where the data-exposure lines are.
Evaluating AI Output
AI evaluation is harder than it looks. Three hallucination patterns, source-checking habits, and the verification routine you can actually keep.
AI Decision Making
AI is a decision input, not the decision. The cognitive-offloading risk, the 80/20 verification rule, and team-level decision norms.
Building an HR Copilot — A Case Study
A real HR onboarding copilot — from use-case selection to pilot rollout — with the architecture, evaluation, and adoption playbook intact.
AI for Legal & Compliance
Contract review, regulatory monitoring, compliance copilots — with the privilege, hallucination, and vendor-governance traps named clearly.
Recruiting AI in Practice
For TA teams past the foundations course — the full hiring funnel with AI, and the bias and compliance posture that keeps you out of trouble.
AI-Augmented Month-End Close
Reconciliation, journal entries, variance narratives, audit trails — the close compressed without the audit headaches.
RevOps Automation with AI
Where AI lifts forecast accuracy and pipeline hygiene without breaking the rep experience — and the tooling decisions that decide your next 24 months.
Building Trusted Support Bots
Bots fail when customers don't trust them. The four dimensions of trust, the multilingual reality, and how to measure trust over time.
Demand Forecasting in Practice
For the ops analysts actually building forecasts — the model choice, the evaluation rigor, the S&OP integration, and what fails first in production.
AI Strategy for the CDO
Where the CDO mandate has expanded — data foundations, governance partnership, vendor sprawl, and the board KPIs nobody else can defend.
AI Strategy for the CIO
AI is one workload competing for CIO attention. Six decisions that determine whether it stays additive or quietly eats your portfolio.
AI ROI & Business Case Building
Most AI business cases over-promise productivity and under-cost change. Six chapters on building cases that survive the CFO.
AI Risk for Audit Committees
AI risk doesn't fit cleanly into the existing risk universe — and most audit committees aren't asking the right questions yet.
AI Vendor Management
Hyperscalers, ISVs, boutiques, and SI partners are all selling "AI." Six chapters on running them as suppliers, not as magic.
AI in Government & Public Sector
Citizen services, case management, and procurement — with sovereignty, public trust, and Vision 2030 alignment baked in.
AI in Energy & Utilities
Grid, renewables, assets, outages, and smart-meter customers — six AI patterns that ship inside a regulated utility.
AI in Retail & E-commerce
Personalization, SKU forecasting, visual merchandising, pricing — seven retail AI patterns that move margin without burning customer trust.
AI in Education
Personalized learning, campus operations, admissions, and assessment — with academic integrity and regional-language reality front and centre.
Case Study: Banking Multimodal RAG
A nine-chapter walk-through of a real bank multimodal RAG build — from document cracking to MRM submission, on Azure.
Microsoft 365 Copilot Adoption Playbook
Most Copilot rollouts stall at week six. This is the playbook that gets you to month six with usage still climbing.
Prompt Engineering for Practitioners
Prompt engineering past the cute tricks — schema enforcement, tool use, evaluation harnesses, and prompts versioned like code.
RAG Architectures — Foundations
RAG looks simple in the diagram and brutal in production. This is the course that gets you past the second demo.
Azure AI Foundry Essentials
For Azure builders moving from POC to production — Foundry projects, evaluations, deployments, and the cost dial that actually matters.
Open-Source LLMs for Enterprise
Open-source isn’t free — it’s a different cost curve. This is the course that helps you read that curve honestly.
MLOps for LLMs
LLMs in production don’t fail like classical ML. This is the playbook for the on-call engineer who learns that the hard way.
AB-100: Architecting Agentic AI Business Solutions
Microsoft AB-100 certification prep — interactive web experience covering business analysis, AI strategy, design, extensibility, orchestration, monitoring, and governance.
Don't see your topic?
We build custom courses for client engagements.
The published catalog covers our most-requested topics. For client engagements, we co-author bespoke courses built around your data, your workflows, and your industry context — typically 4–6 weeks for a function-specific custom course with team workshop.
Talk to us about a custom courseHow the Academy works
Free to learn. Optional to apply.
Pick a course
Browse the catalog by track, level, function, industry, audience, or stack. Most courses are 45–65 minutes, broken into 6–9 chapters.
Work through it
Read or watch, complete the exercises, take the chapter quizzes, and ship the capstone — applied to your own organization.
Apply it where you work
At the end of every course, you get three concrete options to apply it: run it for your team, scope a pilot built on your data, or just talk.
Want this for your whole team?
Every course pairs with an optional 2-day workshop (up to 25 people) and a 4-week pilot. Same content, applied to your data, with senior delivery.