ML Engineer Certification
0%
Complete
0/127h
Hours
0/20
Courses
0
Day Streak
Overall Progress
169 days until target (2026-10-31)
Courses (0/20)
Introduction to AI and Machine Learning on Google Cloud
8 hours
Prepare Data for ML APIs on Google Cloud
6.5 hours
Working with Notebooks in Vertex AI
0.75 hours
Create ML Models with BigQuery ML
5.5 hours
Engineer Data for Predictive Modeling with BigQuery ML
4.25 hours
Feature Engineering
24 hours
Build, Train and Deploy ML Models with Keras on Google Cloud
15.5 hours
Production Machine Learning Systems
16 hours
Machine Learning Operations (MLOps): Getting Started
8 hours
Machine Learning Operations (MLOps) with Vertex AI: Manage Features
8 hours
Introduction to Generative AI
0.75 hours
Introduction to Large Language Models
0.5 hours
Machine Learning Operations (MLOps) for Generative AI
0.5 hours
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation
2.5 hours
ML Pipelines on Google Cloud
2.25 hours
Build and Deploy Machine Learning Solutions on Vertex AI
8.25 hours
Create Generative AI Applications on Google Cloud
4 hours
Responsible AI for Developers: Fairness and Bias
4 hours
Responsible AI for Developers: Interpretability and Transparency
3 hours
Responsible AI for Developers: Privacy and Safety
5 hours
Log Study Time
Recent Sessions
2026-04-07
10 min
Course 1
A Tour of Google Cloud Hands-on Labs
2026-04-07
30 min
Course 1
Using NotebookLM for studying
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