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Skander Salah

Date d'abonnement : 2024

Data Lake Modernization on Google Cloud: Cloud Composer Earned oct. 13, 2025 EDT
MLOps with Agent Platform: Manage Features Earned avr. 25, 2025 EDT
DEPRECATED Build and Deploy Machine Learning Solutions on Vertex AI Earned avr. 11, 2025 EDT
Engineer Data for Predictive Modeling with BigQuery ML Earned fév. 9, 2025 EST
Create ML Models with BigQuery ML Earned fév. 2, 2025 EST
Working with Notebooks in Vertex AI Earned jan. 24, 2025 EST
Build a Certification Study Guide: PMLE Earned déc. 3, 2024 EST

Welcome to Cloud Composer, where we discuss how to orchestrate data lake workflows with Cloud Composer.

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This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Learners will get hands-on practice using Agent Platform Feature Store's streaming ingestion at the SDK layer.

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Earn the intermediate skill badge by completing the Build and Deploy Machine Learning Solutions on Vertex AI skill badge course, where you learn how to use Google Cloud's Vertex AI platform, AutoML, and custom training services to train, evaluate, tune, explain, and deploy machine learning models.

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Complete the intermediate Engineer Data for Predictive Modeling with BigQuery ML skill badge to demonstrate skills in the following: building data transformation pipelines to BigQuery using Dataprep by Trifacta; using Cloud Storage, Dataflow, and BigQuery to build extract, transform, and load (ETL) workflows; and building machine learning models using BigQuery ML.

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Complete the intermediate Create ML Models with BigQuery ML skill badge to demonstrate skills in creating and evaluating machine learning models with BigQuery ML to make data predictions.

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This course is an introduction to Vertex AI Notebooks, which are Jupyter notebook-based environments that provide a unified platform for the entire machine learning workflow, from data preparation to model deployment and monitoring. The course covers the following topics: (1) The different types of Vertex AI Notebooks and their features and (2) How to create and manage Vertex AI Notebooks.

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Learn how to use Gemini Notebook to create a personalized study guide for the Professional Machine Learning Engineer (PMLE) certification exam. You'll review Gemini Notebook features, create a notebook, and use the study guide to practice for a certification exam.

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