What the course covers

  • 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.

Practice & assessment

Eight assignments are listed. Named lessons include hands-on product-backlog and sprint-planning exercises, Jira/Claude workflows, AI-assisted estimates, daily standup summaries, Gamma presentations, connecting ChatGPT with Google Calendar/Canva, and a Zapier flow to add a Jira user story from a Sheets idea. The page says practical exercises are included; independent execution/quality and assignment feedback were not checked.

Time, cost & access

Format
Self-paced
Delivery & schedule
Self-paced Coursera course and component of the Master Scrum & Agile with AI, Jira, and Agile Workflow Specialization. Coursera access/trial eligibility for this offering not confirmed.
Time
Eight displayed module estimates total about 9 h 23 (23 m, 1 h, 2 h, 1 h, 1 h, 1 h, 2 h, 1 h); the source also lists nine languages available besides explicit English instruction, without specifying localization type.
Fee
Course fee, currency, tax, specialization/Plus coverage, trial eligibility and third-party license/API costs not captured; no checkout opened.
Teaching language
English
Entry requirements
For Scrum Masters and Agile practitioners. Named stack includes ChatGPT, Claude, Jira, Microsoft Copilot, Google Calendar, Canva, Gamma.app, Otter and Zapier. Product/API credentials and current paid tiers needed to reproduce integrations are not specified.
Credential
Shareable Coursera specialization/course certificate advertised; no Scrum/Agile certification or external recognition established.

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Provider sources & recorded check dates