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  1. 2 hours 45 minutes Introductory No cost. Earn a skill badge by completing the Get Started with Looker quest, where you learn how to analyze, visualize, and curate data using Looker Studio and Looker. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and ...

  2. Managed by Google Cloud. A Machine Learning Engineer designs, builds, productionizes, optimizes, operates, and maintains ML systems. This learning path guides you through a curated collection of on-demand courses, labs, and skill badges that provide you with real-world, hands-on experience using Google Cloud technologies essential to the ML ...

  3. Vector Search and Embeddings. 2 hours Intermediate 5 Credits. This course introduces Vertex AI Vector Search and describes how it can be used to build a search application with large language model (LLM) APIs for embeddings. The course consists of conceptual lessons on vector search and text embeddings, practical demos on how to build vector ...

  4. 15 hours Intermediate 25 Credits. This course covers designing and building a TensorFlow input data pipeline, building ML models with TensorFlow and Keras, improving the accuracy of ML models, writing ML models for scaled use, and writing specialized ML models. When you complete this course, you can earn the badge displayed here!

  5. Managed by Google Cloud. A Cloud Developer designs, builds, analyzes, and maintains cloud-native applications. This learning path guides you through a curated collection of on-demand courses, labs, and skill badges that provide you with real-world, hands-on experience using Google Cloud technologies essential to the Cloud Developer role.

  6. The Google Career Certificate program is an online training program that offers professional certificates in fast-growing, high-demand technology fields. The program is designed by Google and taught by experts in the areas of IT, user experience design, project management, digital marketing & e-commerce, and more, and combines skills training ...

  7. 1 hour 30 minutes. In this lab, you use BigQuery for data processing and exploratory data analysis, and the Vertex AI platform to train and deploy a custom TensorFlow Regressor model to predict customer lifetime value (CLV). The goal of the lab is to introduce to Vertex AI through a high value real world use case - predictive CLV.