PROFESSIONAL DEVELOPMENT PROGRAM

AI-Enabled Project &
Program Management

Build practical AI literacy for project and program delivery and learn where AI can support planning, reporting, governance, risk analysis and decision support — while keeping human judgment and accountability at the centre

Project management is evolving with AI

AI is increasingly being incorporated into project delivery environments. Project and program professionals need more than tool familiarity: they need to understand where AI can add value, where its outputs require validation, and how governance and accountability remain part of responsible delivery

This program connects established project and program management practices with practical AI concepts so professionals can evaluate and use AI more effectively in their day-to-day delivery context

The capability gap this program addresses

  • Knowing what AI and Generative AI can — and cannot — reliably do
  • Identifying appropriate AI-assisted project management use cases
  • Reviewing AI-generated outputs rather than accepting them blindly
  • Recognising AI-specific risks, governance and responsible-use considerations
  • Maintaining human ownership of decisions, escalation and stakeholder accountability

What You Will Learn

A practical bridge between AI literacy and project/program delivery

01

AI Foundations for Project Professionals

AI, Machine Learning, Generative AI and LLM fundamentals; capabilities, limitations and terminology relevant to delivery leaders

02

AI Across the Delivery Lifecycle

Where AI can support initiation, planning, execution, monitoring, reporting and closure activities

03

AI-Assisted Planning & Documentation

Using AI to support work breakdown, planning inputs, meeting synthesis, documentation and communication while validating outputs

04

Risk, RAID & Decision Support

Using AI to organise information, identify patterns, support risk analysis and prepare decision inputs without delegating accountability to AI

05

Governance, Responsible AI & Human Oversight

Privacy, security, bias, hallucinations, responsible use, approval boundaries and the role of human review

06

AI-Enabled Reporting & Stakeholder Communication

Supporting status reporting, summaries and stakeholder communications while maintaining context, accuracy and professional judgment

07

Managing AI-Enabled Initiatives

How AI projects introduce considerations around data, experimentation, evaluation, technical dependencies, adoption and cross-functional collaboration

08

Practical Scenarios & Guided Exercises

Apply the concepts to realistic project/program situations and evaluate when AI assistance is useful, risky or inappropriate

By the End of the Program

01

Explain core AI and Generative AI concepts in a project-management context

02

Identify practical opportunities for AI assistance across project and program activities

03

Use structured prompting and review techniques for common delivery scenarios

04

Recognise limitations, risks and governance considerations associated with AI-generated outputs

05

Distinguish tasks that can be AI-assisted from decisions that require human ownership

06

Approach AI-enabled initiatives with stronger delivery, stakeholder and governance awareness

Built for professionals responsible for delivery

  • Project Managers
  • Program Managers
  • Delivery Managers / Delivery Leads
  • PMO Professionals
  • Scrum Masters and Agile Delivery Professionals
  • Technology professionals moving into project or program leadership

Prerequisites

No coding background is required

Basic familiarity with project or delivery environments will help participants relate the concepts to workplace situations

Training Approach

Instructor-led explanation, practical scenarios, demonstrations and guided exercises focused on professional application rather than AI model development

Nethravathi Belagod

Nethravathi Belagod

Senior program management professional and PMP® certified trainer with 20+ years of technology-industry experience across program delivery, governance, stakeholder management and transformation initiatives

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