15 Topics
4 Days
75 Sessions
Programme Overview
Training Description
Who Should Attend
- Change Management Professionals
- Risk Managers
- Consultants
- IT Project Professionals
- Digital Transformation Managers
- Agile Project Professionals
- Department Heads
- Executives overseeing projects and programmes
Session Objectives
- • Understand the core concepts of generative AI.
- • Identify key generative AI applications for project management.
- • Use AI to automate project planning and documentation.
- • Master prompt engineering for effective AI interaction.
- • Leverage AI for enhanced stakeholder communication.
- • Automate the creation of project reports and summaries.
- • Use generative AI for risk analysis and mitigation planning.
- • Apply AI to improve team collaboration and brainstorming.
- • Develop an ethical framework for using AI tools responsibly.
- • Stay current with the latest trends in generative AI for projects.
About the Course
The Unlocking Potential: Generative AI For Project Managers Training Course is designed to equip project professionals with the knowledge and practical skills required to leverage artificial intelligence (AI) tools to enhance project planning, execution, communication, risk management, and decision-making. As organizations increasingly adopt AI-driven solutions, project managers must understand how generative AI can improve productivity, automate routine tasks, and deliver better project outcomes.
Through hands-on exercises, real-world case studies, and practical demonstrations, participants will develop the confidence to integrate generative AI into their project management workflows while maintaining quality, accountability, and professional judgment.
Curriculum & Topics
15 Topics | 75 Sessions
-
Workshop 1.1:
Defining generative AI and its key models
-
Workshop 1.2:
Large Language Models (LLMs) and their capabilities
-
Workshop 1.3:
Understanding the difference between AI and generative AI
-
Workshop 1.4:
The history and evolution of generative AI
-
Workshop 1.5:
Key use cases beyond project management
-
Workshop 2.1:
The art and science of effective prompting
-
Workshop 2.2:
Structuring prompts for specific project tasks
-
Workshop 2.3:
Techniques for refining and iterating on prompts
-
Workshop 2.4:
Best practices for communicating with AI models
-
Workshop 2.5:
Creating reusable prompt templates
-
Workshop 3.1:
Using AI to generate project charters and scope statements
-
Workshop 3.2:
Automating the creation of Work Breakdown Structures (WBS)
-
Workshop 3.3:
AI-assisted task and dependency identification
-
Workshop 3.4:
Generating project timelines and milestones
-
Workshop 3.5:
Creating detailed resource allocation plans
-
Workshop 4.1:
Automating the drafting of project plans and reports
-
Workshop 4.2:
Using AI to summarize meeting minutes and conversations
-
Workshop 4.3:
Generating polished technical documentation
-
Workshop 4.4:
Creating engaging training materials and user guides
-
Workshop 4.5:
Standardizing and maintaining project documentation
-
Workshop 5.1:
Drafting stakeholder communications and updates
-
Workshop 5.2:
Automating project kickoff and status meeting agendas
-
Workshop 5.3:
Creating compelling presentations and executive summaries
-
Workshop 5.4:
Using AI for internal team communications
-
Workshop 5.5:
Personalizing communication for different audiences
-
Workshop 6.1:
Using generative AI to brainstorm potential risks
-
Workshop 6.2:
Generating risk mitigation and contingency plans
-
Workshop 6.3:
Creating comprehensive risk registers
-
Workshop 6.4:
Simulating risk scenarios and their impact
-
Workshop 6.5:
Using AI to analyze historical project data for risk patterns
-
Workshop 7.1:
Using AI for creative problem-solving and brainstorming
-
Workshop 7.2:
Automating feedback loops and team surveys
-
Workshop 7.3:
Generating ideas for team building activities
-
Workshop 7.4:
Using AI to summarize complex discussions
-
Workshop 7.5:
Creating personalized learning and development paths
-
Workshop 8.1:
Generating test cases and quality checklists
-
Workshop 8.2:
Automating the creation of bug reports
-
Workshop 8.3:
Using AI to draft user acceptance criteria
-
Workshop 8.4:
Creating automated feedback mechanisms
-
Workshop 8.5:
Analyzing project quality metrics with AI
-
Workshop 9.1:
Using generative AI to assist with budget creation
-
Workshop 9.2:
Forecasting project costs and timelines
-
Workshop 9.3:
Analyzing financial data and identifying trends
-
Workshop 9.4:
Creating budget variance reports
-
Workshop 9.5:
Optimizing resource costs with AI-generated insights
-
Workshop 10.1:
Using AI to facilitate sprint planning and retrospectives
-
Workshop 10.2:
Automating user story and backlog refinement
-
Workshop 10.3:
Generating acceptance criteria for user stories
-
Workshop 10.4:
Creating sprint review presentations
-
Workshop 10.5:
Using AI to track and analyze team velocity
-
Workshop 11.1:
Overview of popular generative AI tools for PM
-
Workshop 11.2:
Integrating AI tools with existing project platforms
-
Workshop 11.3:
Exploring custom AI models and APIs
-
Workshop 11.4:
The future of the generative AI tool landscape
-
Workshop 11.5:
Hands-on practice with various tools
-
Workshop 12.1:
Understanding bias in generative AI
-
Workshop 12.2:
The importance of data privacy and security
-
Workshop 12.3:
Ensuring transparency and accountability
-
Workshop 12.4:
The role of human oversight in AI-driven projects
-
Workshop 12.5:
Developing ethical guidelines for your team
-
Workshop 13.1:
Automating the creation of project closeout reports
-
Workshop 13.2:
Using AI to analyze project successes and failures
-
Workshop 13.3:
Generating a comprehensive lesson learned document
-
Workshop 13.4:
Summarizing project performance for future reference
-
Workshop 13.5:
Creating a knowledge base of past projects
-
Workshop 14.1:
Using AI to simulate strategic project scenarios
-
Workshop 14.2:
Generating business cases and feasibility studies
-
Workshop 14.3:
Analyzing market trends with AI
-
Workshop 14.4:
Identifying new project opportunities
-
Workshop 14.5:
Creating data-driven strategic roadmaps
-
Workshop 15.1:
Analyzing real-world examples of generative AI in projects
-
Workshop 15.2:
Group exercises and AI-assisted problem-solving
-
Workshop 15.3:
Developing a mini-project plan using only AI tools
-
Workshop 15.4:
Learning from industry leaders' successes
-
Workshop 15.5:
Presenting your AI-driven solutions
