Build career-ready AI expertise.
Advanced preparation for engineers who design scalable ML architectures, automate pipelines and monitor production models on Google Cloud.
Lead instructorJonas Weber · Google Cloud Authorized TrainerVerified subject-matter expert
What you’ll be able to do
Architect production ML systems
Build Vertex AI pipelines
Implement MLOps and model monitoring
Prepare for the Professional ML Engineer exam
Certificate syllabus
01Frame ML problems+
- Business objectives
- Data strategy
- Responsible AI
02Develop models+
- Vertex AI
- Feature engineering
- Foundation models
03Operate ML systems+
- Pipelines
- Monitoring
- Continuous training
Requirements
- Three years of industry experience recommended
- Python and SQL
- Cloud architecture fundamentals
Exam voucher included
Your package includes one eligible PMLE exam voucher, official preparation resources and exam-readiness support.
Verified learner reviews
4.9
★★★★★Based on 972 verified learners
“Clear, practical and directly relevant to real AI work. The labs made the difference.”
Frequently asked questions
Is lab access included?+
Yes, guided Google Cloud labs are included.