AI for Scrum Master Course Syllabus
Module 1: Introduction to AI for Agile & Scrum
- What is Artificial Intelligence (AI)?
- Why Scrum Masters should learn AI
- How AI is transforming Agile project delivery
- Overview of AI tools for Agile teams (ChatGPT, Jira AI, Copilot, Notion AI, etc.)
Module 2: AI in Scrum Ceremonies
- Sprint Planning with AI: Story Estimation & Sprint Goal Drafting
- Using AI to Prepare Daily Scrum Summaries
- Sprint Review Automation: AI-generated Presentation of Sprint Outcomes
- Retrospectives Powered by AI: Collecting Insights from Team Feedback
Module 3: AI Tools & Automation
- Jira AI Assist
- ChatGPT
- Microsoft Copilot
- Notion AI
- Backlog Refinement using AI (Story Writing & Prioritization Suggestions)
- Automating Scrum Reports (Velocity Trends, Impediment Trackers)
- Automating Sprint Closure, Reporting, and Follow-ups
- AI Bots for Scrum Reminders, Sprint Updates, and Status Check-ins
Module 4: Generative AI & Prompt Engineering for Scrum Masters
- What is Generative AI & How to Use It Effectively
- Crafting Prompts to: Write User Stories, Summarize Meetings, Draft Agile Reports
Module 5: AI Ethics, Privacy & Responsible Usage
- AI Ethics in Agile Environments
- Responsible Automation – Where to Use AI and Where Not To
- Human-AI Collaboration Best Practices
- Ensuring Transparency and Trust in AI-Supported Teams
