GenAI for Project Managers & Scrum Masters®
Learn how to use Generative AI as a practical delivery capability across project planning, execution, Agile facilitation, communication, risk management, reporting, decision support and continuous improvement.
Talk to WorKnoWExplore curriculumTurn GenAI from a tool into a delivery capability.
Generative AI can support project professionals across the delivery lifecycle, but meaningful adoption requires more than knowing how to write prompts.
This program focuses on how Project Managers and Scrum Masters can thoughtfully integrate GenAI into everyday work while maintaining professional judgment, stakeholder awareness, confidentiality, quality control and accountability.
The goal is to reduce repetitive effort, improve thinking, accelerate communication and create more time for high-value leadership and delivery work.
What the program connects
- Generative AI fundamentals
- Project management workflows
- Scrum Master responsibilities
- Prompt engineering
- AI-assisted planning and analysis
- Stakeholder communication
- Risk and issue management
- Responsible AI adoption
Built for professionals who deliver change.
The program is designed for professionals who want to understand where GenAI can practically improve their project and Agile workflows.
Project Managers
Professionals looking to improve planning, analysis, documentation, reporting and stakeholder communication.
Scrum Masters
Agile practitioners exploring AI-assisted facilitation, coaching, retrospectives and team enablement.
Project Coordinators
Professionals responsible for project administration, coordination, reporting and delivery support.
PMO Professionals
PMO teams interested in improving reporting, governance, knowledge management and portfolio support.
Agile Practitioners
Agile professionals looking for practical AI-supported ways to improve team and delivery workflows.
Delivery Leaders
Leaders exploring responsible GenAI adoption within project and transformation environments.
Where GenAI can support delivery.
Explore practical applications across the project and Scrum lifecycle.
Planning
Support scope breakdown, planning assumptions, work decomposition and planning discussions.
Requirements
Organize requirements, identify gaps, generate questions and support refinement activities.
Risk management
Explore risk scenarios, assumptions, response options and structured risk discussions.
Communication
Improve stakeholder updates, project messaging, summaries and communication preparation.
Scrum facilitation
Prepare for ceremonies, retrospectives, workshops and facilitation conversations.
Team coaching
Generate coaching prompts, reflection questions and discussion structures for teams.
Reporting
Transform project information into clearer summaries, insights and management-ready communication.
Decision support
Use structured AI conversations to explore alternatives, assumptions and trade-offs.
From project workload to intelligent workflow.
Learn to identify repetitive and knowledge-heavy activities where GenAI can create useful leverage.
Project planning
- Break down complex objectives
- Generate planning questions
- Explore dependencies
- Challenge planning assumptions
Project documentation
- Draft project summaries
- Structure meeting outputs
- Improve documentation consistency
- Transform notes into structured content
Stakeholder management
- Prepare stakeholder messages
- Adapt communication styles
- Summarize complex information
- Prepare difficult conversations
Risk & issue analysis
- Explore potential scenarios
- Challenge assumptions
- Generate response alternatives
- Prepare risk discussions
Scrum ceremonies
- Prepare Daily Scrum prompts
- Support Sprint Planning
- Improve Retrospectives
- Prepare Sprint Review questions
Agile coaching
- Generate reflection questions
- Explore team challenges
- Prepare coaching conversations
- Support continuous improvement
Think, prompt, validate, apply.
Effective GenAI adoption is a workflow, not simply asking an AI tool to generate an answer.
Define the problem
Provide context
Engineer the prompt
Review the output
Apply human judgment
Improve the workflow
What you will learn.
A practical learning journey connecting GenAI fundamentals with project management and Scrum applications.
Module 1: Generative AI foundations
- What Generative AI is and how it works
- Large Language Models and AI assistants
- Strengths and limitations of GenAI
- Generative AI versus traditional automation
- Common AI capabilities relevant to knowledge work
- Understanding AI-generated outputs
Module 2: GenAI for project management
- Project planning support
- Scope and requirements analysis
- Project documentation
- Meeting preparation and summarization
- Stakeholder communication
- Risk and issue analysis
- Project reporting and status communication
Module 3: GenAI for Scrum Masters
- AI-supported Scrum facilitation
- Sprint Planning preparation
- Retrospective design
- Team reflection prompts
- Coaching conversation preparation
- Impediment analysis
- Continuous improvement support
Module 4: Prompt engineering for delivery professionals
- Prompt structure and context
- Role and perspective prompting
- Task decomposition
- Output formatting
- Iterative prompting
- Prompt refinement and evaluation
- Creating reusable prompt patterns
Module 5: AI-assisted planning & analysis
- Breaking complex problems into smaller components
- Generating planning questions
- Exploring assumptions
- Scenario analysis
- Decision-support conversations
- Comparing possible approaches
Module 6: Communication & stakeholder support
- Executive project summaries
- Stakeholder-specific communication
- Status reporting
- Meeting preparation
- Communication tone and clarity
- Difficult conversation preparation
Module 7: Responsible & secure AI use
- Confidentiality considerations
- Privacy and sensitive project information
- Hallucination and inaccurate outputs
- Human review and validation
- Bias and responsible use
- Organizational AI policies
Module 8: Building your AI-enabled workflow
- Identifying repetitive project activities
- Selecting suitable AI use cases
- Designing reusable prompt workflows
- Creating an AI-assisted personal workflow
- Measuring usefulness and quality
- Continuous improvement of AI usage
Build prompts that understand the delivery context.
Instead of relying on generic prompts, learn how to provide role, context, objective, constraints and expected output so AI can produce more useful project and Agile work products.
What you can take back to work.
The emphasis is on usable capability, not simply understanding AI terminology.
Identify AI opportunities
Recognize project and Scrum activities where GenAI can provide meaningful assistance.
Write better prompts
Create structured prompts designed around professional delivery contexts.
Improve productivity
Reduce repetitive knowledge-work effort while maintaining quality and accountability.
Support better decisions
Use AI to explore assumptions, alternatives and questions without outsourcing professional judgment.
Strengthen communication
Create clearer project updates, summaries and stakeholder communication.
Build an AI workflow
Create repeatable AI-assisted approaches for everyday project and Agile activities.
AI assistance still needs human accountability.
Project and Agile professionals work with information that can be sensitive, incomplete or commercially important. Effective AI adoption therefore requires deliberate review and responsible use.
Validate outputs
AI-generated content should be reviewed before professional use.
Protect sensitive information
Understand organizational policies and data-handling requirements.
Challenge AI assumptions
Treat generated responses as inputs for thinking, not automatic truth.
Keep humans accountable
Decisions, commitments and stakeholder actions remain the responsibility of people.
Learn AI in the context of real delivery.
WorKnoW connects capability development with practical workplace application.
Delivery first
Focus on real project and Agile workflows rather than AI theory alone.
Practical application
Translate concepts into prompts, workflows and usable work practices.
Capability building
Develop repeatable skills that can continue evolving as AI changes.
Responsible use
Build AI habits around validation, judgment, privacy and accountability.
Course fees
GenAI for Project Managers & Scrum Masters®. Fees are per participant, in Indian rupees. Enrol 3 or more people together and every participant pays less.
For groups larger than 10, contact us for a quote.
Questions, answered.
Is this course only for experienced Project Managers?
Do I need to be an AI expert?
Will I learn prompt engineering?
Can GenAI replace the Project Manager or Scrum Master?
Is this a certification course?
Which AI tools will be covered?
Don't just use AI. Learn how to use it well.
Explore how GenAI can become a practical part of your Project Management or Scrum workflow, with human judgment at the center.
Talk to WorKnoWGenAI for Project Managers & Scrum Masters® is presented as a professional learning and capability-development program. Any third-party certification, trademark, credential or intellectual-property relationship should be verified with the applicable credential or trademark owner. Course content, tools and learning activities may evolve as Generative AI technologies and workplace practices change.
