Udemy - AI for Agile Delivery in Jira and Azure DevOps

AI for Agile Delivery in Jira and Azure DevOps

https://WebToolTip.com

Published 9/2026
Created by Ganesh Ravikumar
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 40 Lectures ( 4h 24m ) | Size: 1.2 GB

Practical AI for scrum masters, product owners and delivery leads - sprint planning, triage, metrics and reporting

What you'll learn
⚡ Decide which delivery problems in Jira and Azure DevOps are worth automating first, and which are not worth touching
⚡ Write user stories and acceptance criteria that do not come back with questions after review
⚡ Turn a vague bug report into a reproducible one, and split work items that are too big to estimate
⚡ Clean a neglected backlog in an afternoon, including duplicates and near-duplicates
⚡ Use AI in estimation without inheriting the bad habits buried in your own ticket history
⚡ Generate a sprint goal and planning summary that a team will actually read and use
⚡ Produce JQL and WIQL queries without learning either syntax properly
⚡ Read flow metrics - cycle time, throughput, ageing work - and spot an AI narrative that is wrong
⚡ Summarise a sprint three different ways for the team, the product owner and an executive
⚡ Build automation rules in both tools with an AI step in the right place, not the wrong one
⚡ Know what must never go into a prompt, and how licensing, admin controls and cost actually work
⚡ Roll AI into a delivery team's week in thirty days without the team rejecting it

Requirements
❗ You should already run sprints or manage work in Jira or Azure DevOps - this is not an introduction to either tool
❗ Access to a board you can experiment on, ideally your own team's or a free personal project
❗ No coding required at all - there is no scripting in this course