Live, Instructor-Led AI and Software Engineering Training and Consulting
AI-Driven Development Training
Live, instructor-led courses for teams adopting AI coding agents. We teach AWS AI-DLC, spec-driven development, and the coding tools your organization has licensed. Most courses run 2-3 days and use your own stack and codebase.
Customized
We tailor each course to your team: the AI tools you have licensed, your languages and frameworks, and the code you work on.
Expert Instructors
Our instructors are senior programmers who also do our consulting and project work. They teach the tools the way they use them on client projects.
Hands-On Learning
Students write code from the first day. Exercises are built around realistic applications, so the work looks like what your team does on the job.
Featured AI Courses
- AI-Driven Development Life Cycle (AI-DLC)
Learn AWS's AI-Driven Development Life Cycle as a team. The AI proposes requirements, designs, and code, and the team approves each step in Mob Elaboration and Mob Construction sessions. Students run the open-source AI-DLC Workflows in Kiro, Claude Code, GitHub Copilot, Cursor, or Codex.
- Spec-Driven Agentic Coding with Kiro
Use Kiro specs to turn a feature idea into EARS requirements, a design, and a task plan. The course also covers steering, hooks, powers, Kiro CLI in CI, and cloud sessions. Teams leaving Amazon Q Developer get a migration plan.
- Spec-Driven Development with AI Coding Agents
Write specs that a coding agent can follow and a reviewer can check. The course teaches GitHub Spec Kit in depth, then compares it with Kiro specs, OpenSpec, and BMAD.
- GitHub Copilot: Agent Mode, the CLI, and the Cloud Agent
GitHub Copilot in the IDE, the terminal, and on github.com. Topics include next edit suggestions, agent mode, the Copilot CLI, the cloud agent, the Copilot app, and code review. The 3-day version goes deeper on custom agents, skills, MCP, and governance for team rollouts.
- Agentic Coding with Claude Code
Use Claude Code on real engineering tasks. Topics include CLAUDE.md, plan and auto mode, subagents, and worktrees. Students then turn issues into pull requests, review code, and run Claude Code headless in CI. The 3-day version goes further with skills, hooks, MCP, and plugins.
- Building AI Agents with Agent SDKs: Claude, OpenAI, and Google ADK
Build AI agents in Python and TypeScript with the Claude Agent SDK, OpenAI Agents SDK, and Google ADK. Topics include tools, multi-agent patterns, MCP, A2A, human approvals, tracing, and evals. AWS teams can take the Strands and AgentCore course instead, and .NET teams the Microsoft Agent Framework course.