Agile AI Practitioner
Hands-on GenAI for Scrum Masters, Agile Coaches, and delivery leads—lead responsible AI adoption on the toolchain teams already use, not machine learning theory.
4.8
(145 students)
1 Week · 16 hours
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What is this course about?
Agile AI Practitioner
16 Hours · 8 Modules with Labs · Agile AI Track
AI isn’t coming to your Agile team—it’s already here. This Deepskilling intensive prepares Scrum Masters, Agile Coaches, and delivery leads to practice as Agile AI Practitioners—lead GenAI adoption, not react to it.
You will apply generative AI to facilitation, collaboration, and responsible Agile delivery in guided labs across the tools your teams live in every day.
Tools you will use:
- Jira
- GitHub
- Slack
- Microsoft Teams
- Confluence
Course Features
Post Graduate Diploma
1 Week of Content
Hands-on Projects
Community Support
Lifetime Access
Student Reviews
Priya Menon
Best Agile AI course I have taken. CRAFTSS! prompting plus the A3 Assist/Automate/Avoid labs changed how our Scrum Team uses Jira and Confluence without losing accountability.
Infosys LimitedKarthik Subramanian
The five-tool playbook (Jira, GitHub, Slack, Teams, Confluence) is immediately reusable. Sprint Planning and Retro labs mirrored exactly how we work day to day.
ThoughtworksAnanya Krishnan
As an Agile Coach I needed practical GenAI—not ML theory. Module 6 coaching prompts and the Confluence AI working agreement went live with my teams the same week.
AccentureDaniel Okonkwo
Excellent Agile AI Practitioner intensive. Security and ethics in Module 8 finally gave our leadership a clear guardrail model for AI in Atlassian and GitHub.
Enterprise Agile UKMeera Joshi
Paste-ready CRAFTSS! prompts for Jira stories and GitHub PR checklists saved hours every Sprint. Capstone operating model is now the centerpiece of my portfolio.
Wipro TechnologiesLaura Chen
Sixteen hours, eight modules, zero fluff. AI-assisted Daily Scrum digests in Slack/Teams without replacing the Developers—exactly what our Scrum Masters needed.
Product Org USA
