Practical AI Skills for the PMO
Practical AI Skills for the PMO
This course equips PMO professionals with the practical skills to apply AI safely, effectively, and credibly across the PMO lifecycle. It focuses on augmentation rather than automation, showing where AI accelerates PMO work (reporting, assurance, insights, planning) and where human judgement remains essential.
Learning Approach:
Classroom & Virtual Classroom
Duration:
2 days
Virtual Course Timings:
9am to 4pm UK time each day
Price:
Pilot Price – £950 + VAT
Virtual Classroom – £1175 + VAT
House of PMO members receive an exclusive discount. Log into your account to receive £250 off.
Technical Requirements:
This 2-day intensive training program uses advanced Generative AI tools. To participate fully in practical labs and real-time simulations, learners will need access to at least one of the following:
- Microsoft Copilot
- ChatGPT
- Google Gemini
We recommend using a paid plan of a GenAI model (e.g. ChatGPT) for the best experience during the course case study. A free plan can still be used effectively, and you will be able to participate fully in the course, however some activities may require simple workarounds to manage limitations on prompts or image generation. The course facilitator will explain these during the session, either by using another tool if you have access to one, or by using additional functions within the tool you are using.
Please make sure you have downloaded and understood the full technical requirements before booking this course. You can download the course outline and technical requirements here.
The Practical AI Skills for the PMO course is suitable for PMO Administrators, Analysts, Managers, Heads of PMO and anyone supporting project, programme or portfolio delivery. These roles handle reporting, assurance, governance, documentation, meetings, planning support, insights and stakeholder communication, all areas where AI can make a big difference.
Virtual classroom training takes place with a live instructor throughout the online course and you will be learning alongside other virtual learners – you’ll be able to see and hear them too!
All you need for virtual classroom training is a decent broadband connection, a webcam, microphone and access to Zoom.
As this course is based on AI, learners will need access to at least one of the following:
- Microsoft Copilot
- ChatGPT
- Google Gemini
We recommend using a paid plan of a GenAI model (e.g. ChatGPT) for the best experience during the course case study. A free plan can still be used effectively, and you will be able to participate fully in the course, however some activities may require simple workarounds to manage limitations on prompts or image generation. The course facilitator will explain these during the session, either by using another tool if you have access to one, or by using additional functions within the tool you are using.
Learning Methods:
Short theory bursts, guided labs, practical exercises, real PMO artefacts, case studies and open practice.
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Course Objectives
By the end of the workshop, delegates will:
- Explain what generative AI can and cannot do in a PMO context.
- Apply AI safely within governance, assurance, and confidentiality boundaries.
- Use AI to improve reporting quality, insight detection, and portfolio visibility.
- Apply AI across planning, risk, resourcing, and delivery activities.
- Design AI-enabled PMO services, standards, and workflows.
- Build reusable prompt patterns for consistent PMO outputs.
In the Course
In the course, learners will cover 4 areas:
1. AI Foundations & PMO Fundamentals
2. AI Across the PMO Lifecycle
3. AI for Project Delivery
4. Practical Use Cases & Hands-On Application
- AI Foundations & PMO Fundamentals
- AI Across the PMO Lifecycle
- AI for Project Delivery
- Practical Use Cases & Application
Key Topics:
• What AI is (and isn’t) in the PMO.
• LLMs, copilots, agents, RAG, embeddings.
• AI tools in M365, ChatGPT, Gemini.
• Safe, ethical, and controlled use (data boundaries, bias, auditability).
• PMO-specific value of AI (augment vs human-only work).
Practical Focus: Distortion detection, misconception busting, task classification.
Key Topics:
• Governance & assurance reviews.
• Reporting, metrics, and portfolio insights.
• Risk, issue, and dependency analysis.
• Demand, resource, and capacity management.
• PMO standards, SOPs, and service design.
• Stakeholder communication and narratives.
Practical Focus: Assurance checklists, executive reporting synthesis, portfolio prioritisation.
Key Topics:
• Planning and scheduling (WBS, milestones, critical path).
• Risk, issue, and change analysis.
• Meetings, minutes, actions, and decision logs.
• Status reporting and RAG consistency.
• Productivity, prompt packs, and ways of working.
Practical Focus: From vague brief → structured delivery artefacts.
Key Topics:
• Measures, KPIs, and dashboards.
• Benefits Realisation.
• Decision support and option analysis.
• Creative problem solving and innovation.
• PMO service development with AI.
• Training and onboarding automation.
• Open lab using real PMO artefacts.
Practical Focus: Real-world application to participants’ own PMO work.
After the Course
Learners will be able to apply AI safely and confidently to everyday PMO tasks, improve reporting and analysis, enhance their project support, and identify new ways to use AI to improve PMO services and productivity.
What Next?
If you’ve completed the Practical AI Skills for the PMO course, then there are a few ways you can continue your training.
If you want to look at other specialist courses then you can look at Assurance for PMO Professionals or Lean-Agile PMO.
If you want to look at certification courses we have the Essentials suite and Project, Programme and Portfolio Governance Professional course.
If you want something more specific or bespoke for your organisation, contact us today.