Put AI to work across IT delivery.
The Certified AI-Powered IT Professional track — generative AI foundations and prompt engineering for IT, role-based AI for project managers, business analysts, product owners and Scrum Masters, AI-assisted requirements and risk, and responsible AI governance.
The AI-Powered IT Leader
Pull the whole AI track together into a single coherent leadership practice rather than a bag of isolated tricks. Learn to sort your recurring leadership work into what AI should augment and what must stay fully human, then design a personal AI operating rhythm that keeps judgement, ethics and accountability firmly in your hands.
Prompt Engineering for IT Professionals
Learn why the same generative-AI model produces dramatically different results depending on how you write the prompt, and master a five-part framework — role, context, task, format and constraints — that turns vague requests into reliable, usable output. Then layer on few-shot examples, grounding and disciplined iteration to get professional-grade drafts for real IT work.
Generative AI Fundamentals for IT Professionals
Understand what generative AI really is — large language models that predict text one token at a time — without needing a data science background. Learn how tokens, context windows and hallucinations shape what these tools can and cannot do, and how a well-structured prompt turns a disappointing experiment into genuine capability.
AI Governance & Responsible AI for IT Leaders
Learn what responsible AI actually means in day-to-day IT delivery — data privacy, bias, transparency and human oversight — and why governance should be lightweight but explicit. Build an AI-use risk assessment you can run before adopting any new AI tool, so you catch the obvious harms before they become incidents.
AI for Scrum Masters & Agile Coaches
Learn to use generative AI as a thinking partner for coaching — surfacing patterns, emotional undertones and contradictions hidden across months of team data. The throughline is firm: AI prepares the evidence, but the Scrum Master's judgement, facilitation and human presence do the coaching.
AI for Project Managers
Learn to use generative AI as a drafting and acceleration tool for the artifacts project managers produce every week — status reports, risk registers and stakeholder updates — while keeping your professional judgement and accountability firmly in charge. Build reusable prompt patterns that turn scattered notes into solid first drafts you review, correct and own.
AI for Product Owners
Learn to use generative AI as a divergent thinking partner that produces many candidate framings of a vision, story or backlog item quickly — while you, the Product Owner, keep the final judgement about value. Build a reusable prompt pack and learn to avoid the traps of over-delegating decisions to a model.
AI for Business Analysts
Learn to use generative AI as a fast first-draft generator for business-analysis artifacts — requirements, user stories and process descriptions — without ever letting it replace direct stakeholder validation. Master a prompt pattern that turns messy workshop notes into a structured first draft in minutes, and build a reusable, tool-agnostic BA AI Prompt Pack. Throughout, the discipline stays constant — AI accelerates the mechanical drafting while a human validates the truth.
AI-Assisted Requirements & User Stories
Learn to use generative AI as both a drafting partner and a second pair of eyes for requirements work — turning plain-language needs into user stories and acceptance criteria, then critiquing them against INVEST and Gherkin. The emphasis throughout is AI-assisted, human-validated: the AI proposes, you decide.
AI-Assisted Project Risk Management
Learn to use generative AI as a second pair of eyes on project risk — pattern-matching against the risk categories a busy PM tends to overlook, not predicting the future. Build a reusable prompt pack for structured risk elicitation while keeping final risk-ownership judgement firmly human.