Agile With AI

Coursera MOOC / Non-credit USD 49
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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.

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

Skills you'll gain

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