Agile With AI
By External Provider
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 will learn
- Adapt agile ceremonies to your team's actual workflow — drop the rituals that don't generate value, keep the ones that shorten feedback loops
- Apply pragmatic project-management patterns using Trello and spreadsheets — small-batch work, lightweight artifacts, weekly cadence, blameless retros
- Integrate AI workflows into engineering practice — diagram prompt engineering, summarization with Claude, AI pair programming
- Recognize and avoid the project-management anti-patterns that produce ticket-shaped work and status theater