Role-Based Programme
RB1551

AI-Powered Agile Project Management

Intelligent Planning, Adaptive Delivery & Agile Performance Analytics

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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced capability to apply AI across Agile project initiation, planning, delivery, monitoring, stakeholder management, and continuous improvement.
  • Use AI to analyse backlogs, sprint data, release plans, dependencies, risks, issues, team capacity, delivery metrics, and stakeholder feedback.
  • Build repeatable AI-assisted workflows for adaptive planning, progress tracking, risk management, meetings, reporting, and delivery coordination.
  • Apply AI to identify delivery bottlenecks, scope pressures, dependency risks, resource constraints, recurring impediments, and improvement opportunities.
  • Design responsible AI-enabled Agile Project Management workflows with appropriate controls for data accuracy, team privacy, transparency, accountability, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchMeeting & Communication AISpreadsheet & Data AnalysisAgile Planning ToolsBacklog & Sprint AnalyticsRisk AnalyticsReporting & Dashboard ToolsKnowledge Management AIWorkflow Automation

Who should attend

  • Agile Project Managers
  • Senior Project Managers
  • Agile Delivery Managers
  • Scrum Masters
  • Program Managers
  • Project Managers
  • Delivery Leads
  • Iteration Managers
  • PMO Professionals
  • Agile Coaches
  • Transformation Managers
  • Project Leads
  • Implementation Managers
  • Digital Project Managers
  • Agile Project Management Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of Agile delivery, project management, Scrum, or iterative project environments
  • Familiarity with backlogs, sprints, releases, project risks, stakeholders, schedules, and delivery metrics
  • Basic proficiency with spreadsheets, documents, presentations, collaboration tools, and workplace productivity applications
  • No previous AI course attendance required
  • No programming background required

TOC Modules

Concepts
  • Understanding Generative AI, analytical AI, meeting intelligence, and workflow automation
  • Mapping AI opportunities across Agile project planning, delivery, monitoring, and reporting
  • Understanding AI assistance versus accountable project and product decisions
  • Recognising risks involving hallucination, privacy, bias, weak data, and over-automation
Practical activities
  • Mapping an existing Agile project lifecycle
  • Comparing manual and AI-assisted Agile project activities
  • Creating an Agile Project Management AI opportunity matrix

Scenarios

Agile Project Initiation to Release Delivery

Business Need → Project Vision → Backlog → Release Plan → Sprint Planning → Risk & Dependency Tracking → Delivery Analytics → Stakeholder Review → Retrospective

Participants use AI-assisted techniques to manage a simulated Agile project from initiation through iterative delivery, identifying risks, coordinating work, analysing progress, and preparing stakeholder updates.

Multi-Sprint Delivery Data to Agile Project Intelligence

Backlog + Sprint Metrics + Risks + Issues + Dependencies + Stakeholder Feedback → AI Analysis → Delivery Patterns → Priority Actions → Automated Follow-Up → Dashboard → Project Review

Participants design an AI-enabled Agile Project Management workflow that consolidates delivery information, identifies emerging risks and bottlenecks, automates follow-up, and strengthens project visibility while retaining final decisions with accountable project and product leaders.

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