The "Machine Learning on Google Cloud" course is a comprehensive training program designed for individuals looking to leverage Google Cloud's powerful tools for machine learning (ML) projects. It provides a deep dive into how Google implements ML, offering insights into creating a robust data strategy, recognizing biases, and utilizing Google Cloud Platform (GCP) tools effectively.
Google Cloud for machine learning is central to the curriculum, enabling learners to understand and apply Google's best practices and avoid common pitfalls. The course covers various aspects, from launching ML models and data manipulation with TensorFlow 2.x, to sophisticated feature engineering and the art of fine-tuning ML models.
Participants will gain hands-on experience with Google Cloud ML training, invoking pre-trained models, optimizing with hyperparameter tuning, and deploying scalable ML solutions. This course is designed to impart the skills necessary to excel in the rapidly evolving field of machine learning, using the robust infrastructure provided by Google Cloud.
