Skill path
Software Engineering Fundamentals
Build the repository, debugging, testing, interface, security, release, and operational foundations AI systems depend on.
13 lessons about 12 h of lessons Ends in a mini certificate Paid plans
Lesson checks passed0 of 13
The route
- 1Dev EnvironmentPhase 0: Setup and tooling · 45 min
- 2Git & CollaborationPhase 0: Setup and tooling · 1 h
- 3Python EnvironmentsPhase 0: Setup and tooling · 45 min
- 4Docker for AIPhase 0: Setup and tooling · 1 h
- 5Data ManagementPhase 0: Setup and tooling · 1 h
- 6Terminal & ShellPhase 0: Setup and tooling · 45 min
- 7Debugging and ProfilingPhase 0: Setup and tooling · 1 h
- 8The Tool Interface - Why Agents Need Structured I/OPhase 13: Tools and protocols · 1 h
- 9Tool Schema Design - Naming, Descriptions, Parameter ConstraintsPhase 13: Tools and protocols · 1 h
- 10Verification GatesPhase 14: Agent engineering · 55 min
- 11Shadow Traffic, Canary Rollout, and Progressive Deployment for LLMsPhase 17: Infrastructure and production · 1 h
- 12Security - Secrets, API Key Rotation, Audit Logs, GuardrailsPhase 17: Infrastructure and production · 1 h
- 13SRE for AI - Multi-Agent Incident Response, Runbooks, Predictive DetectionPhase 17: Infrastructure and production · 1 h
Software Engineering Fundamentals skill path certificate
Pass all 13 lesson checks on this path (0 done), then the 10-question path quiz drawn from these lessons. The certificate lists every topic you covered and carries an ID anyone can verify.