What You'll Learn
- Frame ML business problems and design robust solution architectures.
- Build, train, and optimize ML models using TensorFlow and Scikit-learn.
- Automate ML pipelines with Vertex AI and Kubeflow for MLOps.
- Deploy models for batch and real-time prediction on Google Cloud.
- Monitor model performance, detect drift, and manage lifecycle.
- Implement responsible AI practices and ensure model interpretability.
Prerequisites
Recommended background for this professional track:
- Intermediate knowledge of Python and Data Analysis libraries.
- Strong understanding of Statistics and Linear Algebra.
- Basic familiarity with Cloud Computing (GCP preferred).
Career & Salary Outlook
ML Engineer$125,000 - $185,000
Data Architect$140,000 - $210,000
MLOps Engineer$135,000 - $195,000
AI Solution Architect$150,000 - $220,000
* Salaries vary based on location, experience, and company size.
Who Is This For?
Data Scientists
Software Engineers
Data Engineers
Cloud Architects
Tech Leads