AI in Project Management Training Course

Apply Generative AI, Predictive Analytics and Intelligent Automation Across the Full Project Lifecycle, from Initiation to Closure

AI in Project Management Training Course

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AI in Project Management: Tools, Automation and Predictive Delivery

Course Overview

The AI in Project Management Training Course shows project professionals how to apply artificial intelligence across every stage of the project lifecycle. Participants learn to use generative AI assistants for planning and documentation, predictive analytics for schedule and cost forecasting, and intelligent automation for reporting and PMO workflows. The course balances hands-on practice with governance, covering data quality, ethics, security and change management, so that teams adopt AI in project management responsibly and turn it into measurable delivery results.

Target Audience

Project Managers and Project Coordinators
Program and Portfolio Managers
PMO Heads and PMO Analysts
Scrum Masters and Agile Team Leads
Project Controls, Planning and Scheduling Specialists
Digital Transformation and Innovation Leads
Senior Managers sponsoring AI adoption in projects

Targeted Organizational Departments

Project Management Offices (PMOs)
Program and Portfolio Management Units
IT and Digital Transformation Departments
Engineering and Construction Project Teams
Strategy and Planning Departments
Operations and Business Excellence Teams

Targeted Industries

Government and Public Sector
Construction, Engineering and Infrastructure
Oil, Gas and Energy
IT, Telecom and Technology
Banking and Financial Services
Healthcare
Consulting and Professional Services

Course Offerings

By the end of this course, participants will be able to:

Identify where AI adds the most value across project initiation, planning, execution, monitoring and closure.
Use generative AI and effective prompting to draft charters, WBS, plans, risk registers and status reports.
Apply predictive analytics to forecast schedule slippage, cost overruns and resource bottlenecks.
Automate routine PMO reporting, meeting notes and stakeholder communication with AI tools.
Establish governance for AI use in projects, covering data privacy, ethics, bias and accountability.
Build a practical roadmap to introduce AI into their team or PMO.

Training Methodology

This course uses a hands-on, workshop-based approach. Each session combines short expert briefings with live demonstrations of AI tools, guided exercises on realistic project scenarios, group case studies and peer discussion. Participants work on a running project case throughout the week, applying AI at each lifecycle stage, and finish by presenting an AI adoption plan for their own organization. Daily reflection sessions reinforce learning and connect it to the participants' own work.

Course Toolbox

Prompt library for project managers (charters, WBS, risks, reports)
AI use-case map for the project lifecycle
Templates for AI-assisted status reports and dashboards
AI risk and governance checklist for projects
Case studies of AI adoption in PMOs
AI adoption roadmap template

Course Agenda

Day 1: Foundations of AI in Project Management

Topic 1: What AI Is and Is Not: Machine Learning, Generative AI and Automation Explained
Topic 2: The Changing Role of the Project Manager in the AI Era
Topic 3: Mapping AI Use Cases Across the Project Lifecycle
Topic 4: Overview of AI-Enabled Project Management Tools and Platforms
Topic 5: Prompt Engineering Essentials for Project Professionals
Topic 6: Data Readiness: The Foundation of Useful Project AI
Reflection & Review: Identify the top AI opportunities in your own projects.

Day 2: AI for Project Initiation and Planning

Topic 1: Drafting Business Cases and Project Charters with Generative AI
Topic 2: AI-Assisted Scope Definition and WBS Development
Topic 3: Estimating Effort, Duration and Cost Using Historical Data and AI
Topic 4: Intelligent Scheduling and Scenario Planning
Topic 5: Stakeholder Analysis and Communication Planning with AI
Topic 6: Validating and Quality-Checking AI Outputs
Reflection & Review: Build an AI-assisted plan for the course case project.

Day 3: AI for Execution, Monitoring and Control

Topic 1: Predictive Analytics for Schedule and Cost Performance
Topic 2: AI-Driven Risk Identification and Early Warning Signals
Topic 3: Resource Allocation and Capacity Forecasting with AI
Topic 4: Automated Status Reporting and Real-Time Dashboards
Topic 5: AI Meeting Assistants: Minutes, Actions and Decision Logs
Topic 6: Change Control and Issue Management Supported by AI
Reflection & Review: Design an AI-enabled monitoring and reporting cycle.

Day 4: AI in Agile, PMO and Portfolio Management

Topic 1: AI for Backlog Refinement, User Stories and Sprint Planning
Topic 2: AI Support for Scrum Ceremonies and Team Performance
Topic 3: Automating PMO Processes and Governance Workflows
Topic 4: Portfolio Prioritization and Benefits Forecasting with AI
Topic 5: Knowledge Management and Lessons Learned with AI Search
Topic 6: Measuring the Value and ROI of AI in Projects
Reflection & Review: Select AI use cases for your PMO or agile team.

Day 5: Responsible AI Adoption and Implementation Roadmap

Topic 1: AI Ethics, Bias and Accountability in Project Decisions
Topic 2: Data Privacy, Confidentiality and Security When Using AI Tools
Topic 3: AI Governance Frameworks and Organizational Policies
Topic 4: Leading Change: Building AI Skills and Adoption in Project Teams
Topic 5: Building a Phased AI Adoption Roadmap for Your Organization
Topic 6: Capstone Workshop: Presenting an AI-Enabled Project Delivery Plan
Reflection & Review: Consolidate key takeaways and personal action plans.

FAQ

Do participants need technical or programming knowledge to attend this course?

No. The course is designed for project professionals, not data scientists. A working knowledge of project management principles is enough; all AI tools are introduced step by step.

Should participants bring a laptop?

Yes. A laptop with internet access is recommended so participants can practise with AI tools during the hands-on exercises.

How This Course is Different from Other AI in Project Management Courses

The AI in Project Management Training Course follows the full project lifecycle rather than treating AI as a stand-alone topic. Participants apply AI to a single running case from initiation to closure, covering both traditional and agile delivery, and leave with a ready-to-use prompt library, templates and an AI adoption roadmap for their own PMO. Strong emphasis on governance, data privacy and change management ensures that AI is adopted safely and delivers lasting value.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 1-20 of 46 events

Location	Dates	Duration	Mode	Price
Dubai	Week 46, 2026 9 – 13 November 2026	5 Days	Onsite	€4,500
Istanbul	Week 46, 2026 9 – 13 November 2026	5 Days	Onsite	€4,500
Amsterdam	Week 47, 2026 16 – 20 November 2026	5 Days	Onsite	€5,700
Kuala Lumpur	Week 48, 2026 23 – 27 November 2026	5 Days	Onsite	€5,200
Madrid	Week 48, 2026 23 – 27 November 2026	5 Days	Onsite	€5,700
Cairo	Week 49, 2026 30 November – 4 December 2026	5 Days	Onsite	€4,100
London	Week 49, 2026 30 November – 4 December 2026	5 Days	Onsite	€5,700
Milan	Week 49, 2026 30 November – 4 December 2026	5 Days	Onsite	€5,700
Barcelona	Week 50, 2026 7 – 11 December 2026	5 Days	Onsite	€5,700
Vienna	Week 50, 2026 7 – 11 December 2026	5 Days	Onsite	€5,700
Manama	Week 50, 2026 13 – 17 December 2026	5 Days	Onsite	€4,700
Paris	Week 51, 2026 14 – 18 December 2026	5 Days	Onsite	€5,700
Rome	Week 52, 2026 21 – 25 December 2026	5 Days	Onsite	€5,700
Dubai	Week 07, 2027 15 – 19 February 2027	5 Days	Onsite	€4,500
Amsterdam	Week 10, 2027 8 – 12 March 2027	5 Days	Onsite	€5,700
London	Week 12, 2027 22 – 26 March 2027	5 Days	Onsite	€5,700
Dubai	Week 23, 2027 7 – 11 June 2027	5 Days	Onsite	€4,500
Doha	Week 37, 2027 19 – 23 September 2027	5 Days	Onsite	€5,500
Manama	Week 37, 2027 19 – 23 September 2027	5 Days	Onsite	€4,700
Amman	Week 37, 2027 19 – 23 September 2027	5 Days	Onsite	€4,100