PMI + Generative AI + Project Management

Generative AI Overview for Project Managers

Build a practical understanding of Generative AI and discover how project managers can use AI to support planning, communication, analysis, documentation, collaboration, and everyday project work.

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GenAI FundamentalsBuild your AI foundation

Project Manager FocusAI applications for project work

PromptingLearn to communicate effectively with AI

Responsible AIUse AI with human oversight

Start your journey into Generative AI for project management.

Generative AI is changing how professionals create, summarize, analyse, communicate, and work with information. This course provides project managers with a practical introduction to the technology and its potential applications across the project lifecycle.

Understand GenAI

Learn the fundamental concepts behind Generative AI and understand how AI systems can generate content and assist knowledge work.

Explore PM Use Cases

Discover practical applications of GenAI across project planning, reporting, communication, risk, documentation, and collaboration.

Use AI Responsibly

Understand AI limitations, validation, confidentiality, data considerations, and the importance of human judgment.

Built for project professionals who want to become AI-ready.

You don't need to be an AI specialist. The focus is on understanding Generative AI and applying it to project management work.

Project Professionals

Project Managers
Program Managers
Portfolio Professionals
PMO Professionals
Project Coordinators
Business Analysts
Delivery Managers

Professionals Exploring AI

Team Leaders
Transformation Professionals
Operations Professionals
Consultants
Project Support Teams
Digital Transformation Teams
Professionals beginning their GenAI journey

Understand the technology without getting lost in technical jargon.

Build enough AI literacy to understand what Generative AI does, where it can help, and where project professionals need to exercise caution.

Generative AI

Understand what makes Generative AI different from traditional software and analytical systems.

Large Language Models

Develop a project-manager-level understanding of language models and AI assistants.

Prompts

Understand how instructions and context influence AI-generated responses.

Context

Learn why relevant project context is important when interacting with Generative AI.

AI Outputs

Understand generated content and the need for review, verification, and refinement.

AI Limitations

Recognize hallucinations, outdated information, bias, and other limitations of AI-generated content.

Where can project managers use Generative AI?

Explore practical areas where AI can assist project professionals while keeping accountability and final judgment with people.

Project Planning

Structure planning ideas, identify considerations, and create initial project planning content.

Risk Management

Brainstorm potential risks, organize risk information, and explore possible response approaches.

Project Reporting

Support project summaries, status reports, management updates, and reporting structures.

Meetings

Assist with agendas, summaries, action items, follow-ups, and meeting preparation.

Communication

Draft stakeholder communications and adapt messages for different audiences and contexts.

Documentation

Summarize, restructure, rewrite, and organize project information into useful working documents.

Knowledge Management

Help organize project knowledge, lessons learned, notes, and reusable project information.

Decision Support

Explore alternatives, assumptions, questions, and scenarios before making professional decisions.

Team Collaboration

Support brainstorming, facilitation, information sharing, and collaboration activities.

Learn a simple workflow for working with Generative AI.

Define

Clarify the project task and desired outcome.

Context

Provide relevant information and constraints.

Prompt

Give AI clear instructions and expectations.

Review

Evaluate and validate the generated output.

Apply

Use the reviewed output within the project workflow.

From AI fundamentals to practical project management applications.

The learning journey is designed to give project professionals a practical foundation before moving into AI-assisted project workflows.

Module 1: Introduction to Generative AI

What is Artificial Intelligence?
What is Generative AI?
Generative AI versus traditional AI approaches
Common Generative AI applications
Opportunities for project professionals

Module 2: Generative AI and project management

How GenAI relates to project management
Project knowledge work
AI-assisted project workflows
Potential productivity opportunities
Understanding appropriate AI use cases

Module 3: Understanding AI assistants

Large language models
AI assistants and conversational interfaces
Inputs and outputs
Context and instructions
Understanding AI capabilities and limitations

Module 4: Prompt engineering basics

What makes a useful prompt?
Role and context
Objectives and instructions
Constraints and assumptions
Desired output formats
Iterative prompting

Module 5: GenAI for project planning

Planning support
Work breakdown thinking
Planning assumptions
Project activity descriptions
Scenario exploration

Module 6: GenAI for project communication

Stakeholder communication
Project update messages
Meeting agendas
Meeting summaries
Action-item communication
Audience-specific messaging

Module 7: GenAI for risk and issue management

Risk identification support
Risk descriptions
Response brainstorming
Issue analysis
Scenario exploration

Module 8: GenAI for reporting and documentation

Status reporting
Executive summaries
Document summarization
Information restructuring
Project documentation support

Module 9: Evaluating AI outputs

AI hallucinations
Accuracy and reliability
Source verification
Identifying assumptions
Human review
Refining AI-generated content

Module 10: Responsible use of Generative AI

Data privacy
Confidential project information
Security considerations
Bias and reliability
Human accountability
Responsible AI adoption

Learn how to ask AI better questions.

Effective AI use begins with clear communication. Learn a practical framework for creating prompts that provide context, define objectives, and guide useful outputs.

Build Better Prompts

Structure prompts around the information AI needs to understand the project task.

RoleContextObjectiveConstraintsExpected outputQuality criteria

Refine the Output

Learn to work iteratively with AI instead of expecting a perfect answer from the first prompt.

Ask follow-up questionsRequest alternative approachesImprove structureAdd missing contextChallenge assumptionsValidate the final output

What you can take back to your project environment.

✓Explain the fundamentals of Generative AI in a project management context.

✓Identify practical opportunities for AI-assisted project work.

✓Understand how prompts and context influence AI responses.

✓Create structured prompts for common project management activities.

✓Use GenAI to support project communication and documentation.

✓Explore AI applications for planning, risk, reporting, and collaboration.

✓Recognize common limitations and risks associated with AI-generated content.

✓Apply responsible AI thinking within project environments.

Use AI as a project assistant, not an unquestioned source of truth.

Generative AI can accelerate knowledge work, but project professionals remain responsible for validating information, protecting sensitive data, and making appropriate decisions.

Verify

Check important AI-generated information against reliable sources.

Protect

Handle confidential and sensitive project information appropriately.

Review

Use professional judgment before applying AI-generated content.

Account

Keep human professionals responsible for consequential decisions.

Start with understanding. Move toward application.

Project Manager Focus

The learning experience focuses on how Generative AI relates to project management rather than teaching AI as a purely technical topic.

Practical Use Cases

Explore real project activities such as reporting, communication, planning, documentation, risk, and knowledge management.

Applied Prompting

Learn how to structure prompts around project context, objectives, constraints, and expected outputs.

Responsible Adoption

Enroll now

For groups larger than 10, contact us for a quote.

Frequently asked questions

Do I need previous AI experience?

No. The course is designed as an overview and introduction to Generative AI for project professionals. A technical AI background is not required.

Is this course specifically for project managers?

Yes. The content is framed around project management activities, project information, communication, planning, risk, reporting, documentation, and other knowledge-work scenarios.

Will I learn prompt engineering?

Yes. The course introduces practical prompting concepts and shows how project context, objectives, constraints, and output requirements can be incorporated into prompts.

Can Generative AI make project decisions for me?

AI can support analysis, brainstorming, information processing, and decision preparation, but consequential project decisions should remain subject to appropriate professional judgment and review.

What will I be able to do after the course?

You should have a stronger foundation in Generative AI concepts, understand common project-management use cases, create more useful prompts, and recognize important considerations for responsible AI use.

Start your Generative AI journey for project management.

Build AI literacy, explore practical project use cases, and learn how to work with Generative AI more effectively and responsibly.

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PMI and related PMI marks are trademarks of Project Management Institute, Inc. WorKnoW provides training and learning support and does not claim ownership of PMI trademarks.