Build, Train and Deploy ML Models with Keras on Google Cloud
Earned mai 1, 2024 EDT
Launching into Machine Learning
Earned avr. 12, 2024 EDT
Cloud Hero Looker Skills
Earned fév. 9, 2024 EST
Introduction to AI and Machine Learning on Google Cloud
Earned fév. 8, 2024 EST
How Google Does Machine Learning
Earned mai 26, 2023 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned jan. 27, 2023 EST
This course explores the benefits of using Vertex AI Feature Store, how to improve the accuracy of ML models, and how to find which data columns make the most useful features. This course also includes content and labs on feature engineering using BigQuery ML, Keras, and TensorFlow.
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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 Vertex AI Feature Store's streaming ingestion at the SDK layer.
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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. Machine Learning Engineering professionals use tools for continuous improvement and evaluation of deployed models. They work with (or can be) Data Scientists, who develop models, to enable velocity and rigor in deploying the best performing models.
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This course covers building ML models with TensorFlow and Keras, improving the accuracy of ML models and writing ML models for scaled use.
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The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis. We describe Vertex AI AutoML and how to build, train, and deploy an ML model without writing a single line of code. You will understand the benefits of Big Query ML. We then discuss how to optimize a machine learning (ML) model and how generalization and sampling can help assess the quality of ML models for custom training.
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Welcome Gamers! Learn fundamentals of Google Cloud's Looker, all while having fun! Looker is a modern data platform in Google Cloud that allows you to analyze and visualize your data interactively. You will compete to see who can finish the game with the highest score. Earn the points by completing the steps in the lab.... and get bonus points for speed! Be sure to click "End" when you're done with each lab to get the maximum points. All players will be awarded the game badge.
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This course introduces the AI and machine learning (ML) offerings on Google Cloud that build both predictive and generative AI projects. It explores the technologies, products, and tools available throughout the data-to-AI life cycle, encompassing AI foundations, development, and solutions. It aims to help data scientists, AI developers, and ML engineers enhance their skills and knowledge through engaging learning experiences and practical hands-on exercises.
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This course explores what ML is and what problems it can solve. The course also discusses best practices for implementing machine learning. You’re introduced to Vertex AI, a unified platform to quickly build, train, and deploy AutoML machine learning models.
The course discusses the five phases of converting a candidate use case to be driven by machine learning, and why it’s important to not skip them. The course ends with recognizing the biases that ML can amplify and how to recognize them.
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This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.
Feature Engineering
Earned sept. 27, 2024 EDT
Machine Learning Operations (MLOps) with Vertex AI: Manage Features
Earned juil. 26, 2024 EDT
Machine Learning Operations (MLOps): Getting Started
Earned juil. 19, 2024 EDT
Build, Train and Deploy ML Models with Keras on Google Cloud
Earned mai 1, 2024 EDT
Launching into Machine Learning
Earned avr. 12, 2024 EDT
Cloud Hero Looker Skills
Earned fév. 9, 2024 EST
Introduction to AI and Machine Learning on Google Cloud
Earned fév. 8, 2024 EST
How Google Does Machine Learning
Earned mai 26, 2023 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned jan. 27, 2023 EST