ML AI Engineer
Targets ML and AI engineering roles on Google Cloud. Builds from cloud fundamentals through core engineering and into the Professional ML Engineer — the senior credential for practitioners building and productionizing ML systems on Vertex AI.
Cloud Digital Leader establishes GCP fundamentals and AI service awareness before you build ML systems on the platform. Understanding Vertex AI capabilities and GCP infrastructure starts here.
Associate Cloud Engineer validates the GCP infrastructure knowledge needed to deploy and manage ML systems. Compute, storage, networking, and IAM concepts from ACE directly underpin ML pipeline design on Vertex AI.
Professional ML Engineer validates the ability to design, build, and productionize ML models on Google Cloud using Vertex AI. The senior ML credential on GCP commanding $145,000–$185,000.