AGENTIC SDLCAgentic Academy
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LEARN AGENTIC SOFTWARE DEVELOPMENT

Build with AI agents.
Know how to guide them.

Explore interactive lessons and real-world case studies. Learn how agents work, where they need oversight, and how to verify what they deliver.

For developers & engineering leadersFree · No account needed
INTERACTIVE LAB 01 · SUBAGENTS

One Prompt,
A Tree of Agents

Follow a pull-request review from the first brief to the final recommendation. Inspect each agent’s context, configure a specialist, and experiment with parallel work.

7 chapters8–10 minutesEN ↔ FR / RO
THE REQUEST“Review this pull request.”
PARENT AGENTBrief. Coordinate. Verify.
01 / SPECIALISTSecurityOwn context
Focused evidence
02 / SPECIALISTTestsOwn context
Focused evidence
03 / SPECIALISTDocumentationOwn context
Focused evidence
Three reports. One considered recommendation.
Parent contextSubagent context
INTERACTIVE LAB 02 · GIT

Git, in motion.

Stop memorizing commands. Follow one small website from your first local snapshot to sharing work with your team.

10 commandsAnimated diagramsKnowledge checks
EDIT → SELECT → SAVE → SHARE
Working filesgit add ↓Staging areagit commit ↓Local historygit push ↓Remote

Four places. Three deliberate handoffs.

INTERACTIVE LAB 03 · MANAGED AGENTS

Your AI coworker, at work.

Build a shared coworker through six hands-on chapters. Separate user sessions, follow events, control external actions and turn feedback into reusable skills.

6 chaptersInteractive experimentsEN ↔ FR / RO
ONE COWORKER · SEPARATE SESSIONSTeam request
AgentEnvironment
Maya’s sessionLeo’s session
Review, then act
CONTINUE LEARNING

The Claude Certification path.

STUDY RESOURCES ↗

Claude Certification Prep

Continue into the existing Academy’s study materials and technical decks.