AI-Driven Development Life Cycle (AI-DLC)
14 training hours · 2 days
The whole team learns AI-DLC's phases, approval gates, and mob sessions. Then everyone runs the open-source AI-DLC Workflows in Kiro.
For software delivery teams adopting AWS's AI-Driven Development Life Cycle with Kiro as their coding agent, including teams moving from Amazon Q Developer to Kiro. The whole team learns the method together, then developers go deep on Kiro.
Schedule: 4 consecutive days, or two 2-day blocks a week or more apart. 7 days with the optional agent course.
Two catalog courses taught in this order, plus an optional third. Each title links to the full course outline.
14 training hours · 2 days
The whole team learns AI-DLC's phases, approval gates, and mob sessions. Then everyone runs the open-source AI-DLC Workflows in Kiro.
14 training hours · 2 days
Developers build features from Kiro specs: EARS requirements, a design, and a task plan. The course also covers steering, hooks, powers, Kiro CLI in CI, cloud sessions, and moving from Amazon Q Developer.
Optional · 21 training hours · 3 days
Build agents in Python with Strands Agents and deploy them to Amazon Bedrock AgentCore. Topics include tools, MCP, multi-agent patterns, and AgentCore Memory, Gateway, and Identity.
We adjust the path to your rollout, your team's roles, and the codebases you work in.
Product owners, QA engineers, and managers can attend the AI-DLC course only, or take the one-day AI-DLC and Spec-Driven Development for Product Owners and Business Analysts course instead. The Kiro course is hands-on and aimed at the developers who drive the agent.
Amazon Q Developer IDE plugins and paid subscriptions reach end of support on April 30, 2027. The Kiro course has a migration module, and we weight it and the admin topics to match your rollout plan.
AI-DLC Workflows also run in Claude Code, GitHub Copilot, Cursor, and Codex. If part of the team uses one of those, we show the workflow there as well.
Teams that will build their own agents can add the 3-day Strands Agents and AgentCore course. It needs Python and an AWS account with Bedrock and AgentCore access.
Greenfield or brownfield: we use examples from your domain, and one of your repositories where you can share it.
Delivery teams that already use, or are about to license, Kiro and want a shared method with clear roles, human approval gates, and an audit trail.
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