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1. cloud.google.com › learn › trainingMachine Learning & AI Courses | Google Cloud Training

   cloud.google.com › learn › training

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   Learn how to implement the latest machine learning and artificial intelligence technology with courses on Vertex AI, BigQuery, TensorFlow, and more. Boost your AI skills to take your career to...

2. Videos

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     1:59:32

     youtube.com

     How to Deploy a Machine Learning Model to Google Cloud for 20% Software Engineers (CS329s tutorial)

     14 Feb 2021

     84.7K views

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     12:46

     youtube.com

     10 ways to use machine learning with Google Cloud, in 15 minutes

     10 May 2023

     17.9K views

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     7:08

     youtube.com

     Machine learning on Google Cloud

     5 Aug 2022

     69K views

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3. cloud.google.com › architecture › ml-on-gcp-bestBest practices for implementing machine learning on Google Cloud

   cloud.google.com › architecture › ml-on-gcp-best

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   Sep 9, 2024 · This document introduces best practices for implementing machine learning (ML) on Google Cloud, with a focus on custom-trained models based on your data and code. It provides...

4. www.coursera.org › learn › introduction-to-ai-andIntroduction to AI and Machine Learning on Google Cloud

   www.coursera.org › learn › introduction-to-ai-and

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   This module explores the various options for developing an ML project on Google Cloud, from ready-made solutions like pre-trained APIs, to no-code and low-code solutions like AutoML, and code-based solutions like custom training.

   • 4.7/5 (82)

5. www.cloudskillsboost.google › course_templates › 593Introduction to AI and Machine Learning on Google Cloud

   www.cloudskillsboost.google › course_templates › 593

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   Recognize the data-to-AI technologies and tools provided by Google Cloud. Build generative AI projects by using Gemini multimodal, efficient prompts, and model tuning. Explore various options for developing an AI project on Google Cloud. Create an ML model from end-to-end by using Vertex AI.

   • 4.4/5 (79)

6. blog.google › products › google-cloud9 new ways that Google Cloud Machine Learning can help businesses

   blog.google › products › google-cloud

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   • Author: Philippe Poutonnet

   • Maximize recruitment efforts: The new Cloud Jobs API uses machine learning to help companies hire great talent. By understanding the nuances behind job titles, descriptions, skills and preferences, the API matches job seeker preferences with relevant listings.
   • Analyze images faster, for less: We’ve improved performance and efficiency of our Vision API by taking advantage of Google’s custom TPUs, resulting in an ~80% price reduction for large-scale deployments.
   • Translate long-form docs: For users that need long-form translation services, a new premium edition of Cloud Translation API uses a model tailored to increase accuracy on several major language pairs.
   • Better understand text structure and sentiment and turn questions into formulas: With Explore, Natural Language Processing translates questions into useful formulas and offers up instant answers in Google Sheets.

7. www.cloudskillsboost.google › course_templates › 3Google Cloud Big Data and Machine Learning Fundamentals

   www.cloudskillsboost.google › course_templates › 3

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   Machine Learning Options on Google Cloud. 8 Videos 1 Document 1 Quiz. This section explores four different options to build machine learning models on Google Cloud. It also introduces Vertex AI, Google's unified platform for building and managing the lifecycle of ML projects. The Machine Learning Workflow with Vertex AI.

8. www.coursera.org › machine-learning-tensorflow-gcpMachine Learning on Google Cloud | Coursera

   www.coursera.org › machine-learning-tensorflow-gcp

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   Sep 1, 2015 · What is machine learning, and what kinds of problems can it solve? How can you build, train, and deploy machine learning models at scale without writing a single line of code? When should you use automated machine learning or custom training?