Learning Journeys

Three guided journeys. Pick the one that fits your role.

From everyday PM productivity to enterprise PMO transformation. Each journey sequences curated courses, AI Simulation Labs and a capability credential — designed to be followed in order.

The three journeys, in detail

What's inside each learning journey

Each journey is sequenced course-by-course. Start with Foundations or jump straight to Practitioner or PMO if you're already operating at that level.

Journey 01 · Foundations

AI Foundations for Project Managers

Start here if you want to use AI confidently in everyday delivery — RAID, status reports, meeting prep, stakeholder updates and risk notes — without learning a new tool stack. Tool-agnostic, works with ChatGPT, Microsoft Copilot or Google Gemini.

Who it's for: PMs, scrum masters and delivery coordinators new to AI in real project work.
Time commitment: ≈ 20 hours · 5 weeks · self-paced
Credential: Augmented PM Foundations Credential

Explore the Foundations journey

What you'll be able to do

✓Save 6–10 hours a week on reporting, RAID reviews and meeting prep
✓Write reusable prompt packs for your own delivery context
✓Run an AI-assisted status update, risk log review and stakeholder note end to end
✓Apply a simple governance check before sending anything AI-generated to a sponsor

What's inside

AI for the modern PM

How LLMs actually work, what they're good and bad at, and where they fit in project delivery.

Prompting that earns its keep

A repeatable prompt pattern for status reports, RAID, meeting notes and stakeholder updates.

RAID & risk with AI

Generating, challenging and triaging risks and issues with AI as a second pair of eyes.

Reporting & stakeholder communication

Status packs, exec summaries and steering narratives that read like a senior PM wrote them.

Responsible AI for delivery

Confidentiality, hallucinations, bias and a lightweight checklist before anything leaves your laptop.

Journey 02 · Practitioner

AI Practitioner for Delivery Leads

Step up from individual productivity to leading AI-augmented delivery. Use AI across planning, governance, decision-making, benefits tracking and change — and bring your team with you. Includes AI Simulation Labs for steering packs, RAID reviews and sponsor conversations.

Who it's for: Senior PMs, programme managers and delivery leads running complex programmes or multiple workstreams.
Time commitment: ≈ 38 hours · 8 weeks · self-paced
Credential: Augmented PM Practitioner Credential

Explore the Practitioner journey

What you'll be able to do

✓Run AI-augmented planning, replanning and dependency analysis on real programmes
✓Build governance and assurance packs that hold up to scrutiny from PMO and sponsors
✓Coach your delivery team into a consistent AI workflow, not ad-hoc prompting
✓Use AI to surface risks, decisions and trade-offs earlier in the delivery cycle

What's inside

AI-augmented planning & replanning

Estimation, dependency mapping and scenario analysis with AI as a co-planner.

Governance, assurance & decision-making

Steering packs, decision logs, options appraisals and assurance reviews supported by AI.

Programme reporting & benefits

Cross-workstream reporting, benefits tracking and narrative writing for executive audiences.

AI Simulation Labs

Scenario-based labs: steering meeting prep, RAID escalation, sponsor pushback and red-team reviews.

Leading an AI-augmented team

Standards, prompt libraries, review patterns and onboarding new PMs into an AI delivery workflow.

Journey 03 · PMO & Enterprise

AI PMO and Enterprise Transformation

Move AI from individual PMs into the operating model of the PMO. Build the standards, governance, reporting and adoption playbooks needed to land AI across hundreds of project professionals — safely, measurably and aligned to your existing delivery framework.

Who it's for: Heads of PMO, transformation directors and enterprise delivery leaders rolling AI across the function.
Time commitment: ≈ 48 hours · 10 weeks · self-paced
Credential: Augmented PM Enterprise Credential

Explore the PMO journey

What you'll be able to do

✓Design an AI operating model for your PMO with clear standards and guardrails
✓Define governance, risk and assurance for AI-assisted delivery at enterprise scale
✓Build a capability and adoption roadmap with measurable outcomes and reporting
✓Run a structured AI rollout — pilot, scale, embed — without breaking existing delivery practice

What's inside

The AI-enabled PMO operating model

Roles, standards, prompt libraries, tooling and how AI changes (and doesn't change) the PMO.

Enterprise governance & assurance

AI policy, risk, data handling, vendor review and assurance patterns for regulated environments.

Capability strategy & adoption

Skills maps, learning journeys, change support and reporting on AI capability across the function.

PMO reporting & analytics with AI

Portfolio reporting, status aggregation, benefits tracking and insight generation across delivery.

Rollout playbook & business case

Pilot design, scale-up plan, business case, KPIs and quarterly review cadence for executive sponsors.