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Professional · CAIE

Certified AI Engineer

For engineers who build ML and AI systems end to end.

In development
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Overview

A hands-on, role-based credential for engineers building ML and generative-AI systems end to end — from data pipelines to deployment and monitoring. Includes a practical lab exam.

Draft blueprint

Planned domains and weights. They may change before the credential opens.

  • Data Engineering for AI20%
  • Model Development & Training20%
  • LLM & RAG Systems20%
  • Deployment & MLOps20%
  • Monitoring & Reliability10%
  • Security & Responsible AI10%

What it is planned to cover

  • Design end-to-end AI/ML systems
  • Build retrieval-augmented generation pipelines
  • Deploy, monitor, and scale models in production
  • Apply MLOps best practices