Agile With AI
About this course
This course pairs pragmatic agile method with AI-assisted engineering practice. Across five modules you trace the historical arc from waterfall to agile, internalize the playground-vs-plant mental model, learn root-cause analysis via the five-whys habit, sharpen technical communication and demos, structure project management with the lightest possible artifacts (Trello and spreadsheets over heavy tools), and apply AI workflows — diagram prompt engineering, summarization with Claude, AI pair programming, AWS CodeWhisperer for Rust, Bedrock-backed serverless architectures, RAG with Bedrock Knowledge Bases, and local speech-to-text with whisper.cpp. By the end you can adapt agile to your team rather than the other way around, recognize the anti-patterns that turn ceremonies into theater, and integrate AI tooling into a development loop that ships rather than just demos. Pragmatic, opinionated, and grounded in named patterns rather than methodology cargo-cult.
75/100
CourseAsk score
- What the provider tells you
- 39/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- understand the transition from waterfall to agile methodologies
- apply AI workflows in project management
- perform root-cause analysis using the five-whys technique
- enhance technical communication and demo skills
- recognize and avoid anti-patterns in agile ceremonies
Course objectives
- integrate AI tooling into the agile development loop
- adapt agile practices to specific team needs
- balance lightweight project management artifacts
Price shown by Coursera — confirm on their site.
Enroll on CourseraYou'll be redirected to Coursera to complete enrollment.
- Listed & compared by CourseAsk
- English · 0
Udemy
Coursera
Compared on these lists
Where this course ranks against the alternatives.