Google Professional Machine Learning Engineer Certification Training

Course Overview

The Google Professional Machine Learning Engineer certification is one of the most prestigious and technically demanding cloud AI credentials available. This 5-day instructor-led course equips experienced practitioners to design, build, optimise, and productionise end-to-end ML systems on Google Cloud Platform. You will work hands-on with the full Vertex AI suite, BigQuery ML, Gemini models, RAG architectures, and the Agent Development Kit (ADK) — all in the context of production-ready, enterprise-grade ML systems. The updated exam (2025) reflects Google's transition to Gemini Enterprise Agent Platform and prioritises Google Cloud native solutions. This certification requires 3+ years of industry experience and is designed for practitioners who are already working with ML in production.

What You Will Learn

• Design and architect end-to-end ML pipelines for batch and streaming data on Google Cloud
• Build, fine-tune, and deploy ML models using Vertex AI and BigQuery ML
• Implement MLOps practices: CI/CD for ML, model versioning, monitoring, and retraining
• Work with Gemini models, Vertex AI Agent Builder, and the Agent Development Kit (ADK)
• Design RAG architectures and knowledge base systems using Vertex AI and Vector Search
• Apply responsible AI: fairness, explainability, bias detection, and model evaluation
• Implement feature engineering, data governance with Dataplex, and pipeline orchestration with Composer
• Optimise ML systems for performance, cost, and scalability in production