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Program Curriculum

Agentic Systems Builder

Learn how modern AI-powered systems are built, guarded, deployed, and operated. Move beyond vibe coding and develop lifecycle skills across architecture, guardrails, DevOps, observability, and the Agentic SDLC.

8 Hours
Foundations → Advanced
Verified Credential

Curriculum Map

01

Prototype

3 Modules • 9 Lessons

"Learn how AI-native builders move from idea to working prototypes using modern AI tools, prompt workflows, and basic product architecture thinking."

Vibe Coding FoundationsAnatomy of an AI AppBuilding Your First Prototype
02

Structure

3 Modules • 9 Lessons

"Move from chaotic AI-assisted building to structured development through architecture thinking, repository hygiene, debugging discipline, and scoped implementation."

Product StructureRepository and Code StructureDebugging and Development Discipline
03

Guardrails

3 Modules • 9 Lessons

"Learn the safety, validation, and risk-control habits that most vibe coders skip, but real systems require."

Secrets and Environment DisciplineValidation and Input SafetyAuth Dependencies and Basic Safety
04

Deploy

3 Modules • 9 Lessons

"Understand how software actually reaches production through cloud hosting, CI/CD workflows, environments, and release discipline."

Cloud FoundationsCI CD and Release FlowData and Deployment Safety
05

Operate

3 Modules • 9 Lessons

"Learn how to think beyond launch by understanding logging, monitoring, health checks, reliability, and incident response."

Logging and MonitoringReliability BasicsIncident Awareness
06

Agentic

3 Modules • 9 Lessons

"Understand how AI agents can support the software lifecycle through role-based workflows, handoffs, evaluations, and operational constraints."

The Agentic SDLCRole Based Agent ThinkingAI Observability and Evaluation
07

Mastery

3 Modules • 9 Lessons

"Bring the full lifecycle together and develop a more complete understanding of what it means to build, guard, deploy, and operate real systems."

Production ReadinessBuilder Identity and CapabilityCapstone and Completion

What you will gain

  • Mastery of the Agentic SDLC lifecycle
  • Understanding of AI-native architecture patterns
  • Hands-on experience with production guardrails
  • Infrastructure and DevOps foundations for AI
  • Observability and SRE professional habits
  • A verifiable builder credential

Program Requirements

  • Basic understanding of web technologies.
  • Interest in AI-powered system design.
  • No advanced CS degree required.

Instructor Support

Get support through our workshop community and dedicated discord channels.

Verified Learning