What you’ll learn
- Eight modules cover generative-AI foundations and prompting for Agile
- Creating product backlogs, user stories, definitions of ready/done and acceptance tests
- Jira/Claude integration
- Sprint prioritization, estimation, impediments and burndown dashboards
- Meeting/standup summaries and Gamma.app slides
- Calendar/Canva, Microsoft 365, Otter and Zapier examples
- And AI adoption/ethics.
What does the learning look like?
- Eight assignments include backlog and sprint-planning exercises, Jira and Claude workflows, AI-assisted estimates, daily stand-up summaries and a Zapier flow.
Example to try
Connect a repeated task
- 01Start with
A message, form or new file
- 02Make a first pass
A useful record in the next app
- 03Make it yours
Review the result before saving or sending
Use a fictional example to practise the workflow.
Cost, access and setup
What you’ll need
- For Scrum Masters and Agile practitioners.
- Named stack includes ChatGPT, Claude, Jira, Microsoft Copilot, Google Calendar, Canva, Gamma.app, Otter and Zapier.
How you’ll learn
- About 9 hours 23 minutes across eight modules, based on the lesson estimates.
- Self-paced Coursera course and component of the Master Scrum & Agile with AI, Jira, and Agile Workflow Specialization.
Certificate
- Shareable Coursera specialization/course certificate listed
Help along the way
- Eight assignments listed
- Coursera Coach is offered in the course listing.
Instructor
- Packt - Course Instructors is shown as instructor
- Packt is the provider/distributor.
Course cost
Check the course page for current pricing.