Generative AI is rapidly transforming how projects are planned, executed, and delivered. From automating documentation to enhancing decision-making and risk analysis, AI-powered tools like ChatGPT, Copilot, and Gemini are enabling project managers to achieve faster, smarter, and higher-quality outcomes.
This 1-day instructor-led training is designed specifically for project managers who want to leverage Generative AI to save time, reduce costs, and improve project quality—while ensuring compliance with data security, governance, and ethical standards.
Participants will gain hands-on experience using real-world project management scenarios such as creating project charters, business cases, risk registers, stakeholder analysis, and more using AI tools.
The course also emphasizes responsible AI usage, covering key areas like data privacy, legal risks, bias, and governance frameworks, making it ideal for professionals working in enterprise environments.
Course Objectives
By the end of this course, participants will be able to:
- Understand the fundamentals of AI, Machine Learning, LLMs, and Generative AI
- Use prompt engineering techniques to generate accurate and useful outputs
- Apply Generative AI across project lifecycle phases (Initiation to Closure)
- Automate key PM deliverables such as:
- Project Charter
- Business Case
- Risk Register
- Stakeholder Analysis
- Status Reports
- Improve decision-making using AI-generated insights
- Identify and mitigate risks related to:
- Data security
- Confidentiality
- AI hallucinations
- Legal and compliance issues
- Implement AI governance frameworks within project environments
- Select and use the right GenAI tools for project management
Key Features
- ✅ Hands-on Learning with Real PM Use Cases
- ✅ Live Demonstrations using ChatGPT and Other AI Tools
- ✅ Ready-to-Use Prompt Templates for Project Managers
- ✅ PMI-Aligned Project Scenarios and Examples
- ✅ Coverage of Governance, Ethics & Legal Risks
- ✅ Interactive Quizzes and Knowledge Checks
- ✅ Instructor-led Practical Exercises
- ✅ Enterprise-Focused AI Adoption Strategy
Who Should Attend
This course is ideal for:
- Project Managers
- Program Managers
- PMO Professionals
- Scrum Masters / Agile Practitioners
- Business Analysts
- Delivery Managers
- Consultants and Transformation Leaders
- Professionals preparing for PMI certifications (PMP, PMI-ACP, etc.)
- Anyone looking to enhance productivity using AI in project environments
Business Impact
After completing this course, organizations can expect:
- ⏱ Up to 40–60% reduction in documentation effort
- Improved decision-making speed and accuracy
- Better cost and schedule optimization
- ⚖️ Reduced compliance and data risks
- Increased team productivity and innovation
Prerequisites
- Basic understanding of project management concepts
- Familiarity with project lifecycle (Initiation, Planning, Execution, etc.)
- No prior AI knowledge required
Tools Covered
- ChatGPT
- Gemini (Google AI)
- Microsoft Copilot
- Perplexity AI
- ClickUp Brain
- GitHub Copilot (overview)
Course Outline
Module 1: Introduction to AI & Generative AI
- AI, ML, LLMs explained
- How GenAI works
- Capabilities & limitations
Module 2: GenAI Tools for Project Managers
- Overview of leading AI tools
- Selecting the right tool for PM tasks
Module 3: Prompt Engineering for PMs
- Writing effective prompts
- Structuring AI requests
- Output formatting
Module 4: Core Project Management Use Cases
- Business case creation
- Project charter generation
- Stakeholder mapping
- Scope management
Module 5: Advanced Use Cases
- Risk management
- Earned Value Management
- Critical path analysis
- Root cause analysis
Module 6: Live Demonstrations
- Real-time usage of AI tools
- Generating PM deliverables
Module 7: Governance, Ethics & Security
- Data privacy risks
- AI bias and hallucinations
- Legal implications
- Responsible AI usage
Module 8: Implementation Strategy
- Introducing AI in PMO
- Adoption roadmap
- Measuring ROI


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