Before learning what Agile is, you need to understand what it isn't. This module compares the traditional Waterfall methodology with Agile thinking, then walks through a concrete planning exercise — building a playground — to show how iterative, feedback-driven planning works in practice. You'll see why rigid up-front specifications fail in modern software contexts and how Agile addresses those failures.

Agile is more than a methodology — it's a mindset for navigating uncertainty. This module dives into the pragmatic application of Agile principles, including sprint planning, retrospectives, and the Five Whys technique for root-cause analysis. You'll also explore how AI tools can amplify team productivity within an Agile workflow.

The largest module of the course. Strong technical communication is the connective tissue of effective Agile teams. This module covers giving and receiving feedback, running productive technical discussions, structuring effective meetings, applying DevOps principles, and using project management tools like Trello and spreadsheets. You'll also learn to recognize and avoid common project management anti-patterns.

Bring it all together: Agile mindset plus AI-powered tools. This module shows how generative AI reshapes the software development lifecycle — from AIOps and pair programming with AI assistants to building serverless GenAI architectures with AWS Bedrock, retrieval-augmented generation (RAG) agents, and exploring core GenAI building blocks. By the end, you'll be ready to integrate AI into your own Agile development workflow.