GCP Data Engineer Pro: Google Machine Learning and AI

Skillsoft issued completion badges are earned based on viewing the percentage required or receiving a passing score when assessment is required. Over time, humanity has learned from patterns, beginning with recognizing what characteristics indicate poisonous plants versus edible botanicals. In the same way, machine learning (ML) is all about recognizing the patterns in data so useful predictions can be made. In this course, explore ML systems tailored for diverse objectives, integrate ML into a data warehouse environment, different GCP ML products, and prebuilt models. Next, learn how to develop a project with a prebuilt ML model, the rationale for creating new models, and the ML data preparation process. Finally, discover how to create a custom-trained model using the Vertex AI SDK for Python and compare Vertex AI and BigQuery. This course is one of a collection that prepares learners for the Google Professional Data Engineer exam.