Advanced

Certified AI Systems Developer

Build end-to-end AI systems with agents, pipelines, orchestration, and production runtime discipline.

60 minutes
3 Modules
8 Lessons
Outcomes
  • Separate agent, pipeline, retrieval, model, and human-review responsibilities
  • Deploy AI APIs, workers, and model services with observable runtime boundaries
  • Plan recovery, evaluation, cost control, and degraded modes before launch
Built For

Engineers building AI applications that need retrieval, tool use, distributed jobs, and reliable deployment.

AI system architectureLangChain orchestrationRay workloadsKubernetes deployment
Preview The Work
  • End-to-End AI System Design

    End-to-End AI System Architecture

  • Agent and Pipeline Boundaries

    End-to-End AI System Architecture

  • LangChain and Workflow Orchestration

    Orchestration and Runtime

  • Ray for Distributed AI Workloads

    Orchestration and Runtime

  • Observability and Evaluation

    Production Reliability

What Makes It Credential-Worthy
  • Hands-on capstone: Design a production AI system using LangChain-style orchestration, Ray-scale workloads, Kubernetes deployment, and vector retrieval.
  • Final quiz checks understanding across every module.
  • Public credential ID makes the result easy to verify.
Modules

Certified AI Systems Developer
$49.98
  • Lifetime access
  • Verifiable certificate
  • Interactive quizzes
  • Design a production AI system using LangChain-style orchestration, Ray-scale workloads, Kubernetes deployment, and vector retrieval.