A Machine Learning (ML) Engineer is responsible for the design, construction, productionisation, optimization, operation, and maintenance of ML systems. The skills required for a ML Engineer are many but not limited to below
- Programming Languages.
- Mathematics and Statistics.
- Machine Learning Algorithms.
- Data Preprocessing.
- Data Visualization.
- Model Evaluation and Validation.
Google's 'Machine Learning Engineer Learning Path' will lead you through some on-demand courses, practical labs, and skill badges, offering you practical, real-world experience in utilizing essential Google Cloud technologies for the role of an ML Engineer.
- COURSE - Big Data & Machine Learning Fundamentals
- SKILL BADGE - Perform Foundational Data, ML, and AI Tasks in Google Cloud
- COURSE - Machine Learning on Google Cloud
- COURSE - Advanced Machine Learning with TensorFlow on Google Cloud Platform
- COURSE - MLOps (Machine Learning Operations) Fundamentals
- COURSE - ML Pipelines on Google Cloud
- SKILL BADGE - Build and Deploy Machine Learning Solutions on Vertex AI
- SKILL BADGE - Create Conversational AI Agents with Dialogflow CX
Check out the ML Engineer courses.