{"product_id":"machine-learning-on-google-cloud","title":"Machine Learning on Google Cloud","description":"\u003cdiv\u003e\u003cp\u003eThis course introduces the artificial intelligence (AI) and machine learning (ML) offerings on Google Cloud that support the data-to-AI lifecycle through AI foundations, AI development, and AI solutions. It explores the technologies, products, and tools available to build an ML model, an ML pipeline, and a generative AI project. You learn how to build AutoML models without writing a single line of code; build BigQuery ML models using SQL, and build Vertex AI custom training jobs by using Keras and TensorFlow. You also explore data preprocessing techniques and feature engineering.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eMachine Learning on Google Cloud Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eThis course will empower you to:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDescribe the technologies, products, and tools to build an ML model, an ML pipeline, and a Generative AI project.\u003c\/li\u003e\n\u003cli\u003eUnderstand when to use AutoML and BigQuery ML.\u003c\/li\u003e\n\u003cli\u003eCreate Vertex AI-managed datasets.\u003c\/li\u003e\n\u003cli\u003eAdd features to the Vertex AI Feature Store.\u003c\/li\u003e\n\u003cli\u003eDescribe Analytics Hub, Dataplex, and Data Catalog.\u003c\/li\u003e\n\u003cli\u003eDescribe how to improve model performance.\u003c\/li\u003e\n\u003cli\u003eCreate Vertex AI Workbench user-managed notebook, build a custom training job, and deploy it by using a Docker container.\u003c\/li\u003e\n\u003cli\u003eDescribe batch and online predictions and model monitoring.\u003c\/li\u003e\n\u003cli\u003eDescribe how to improve data quality and explore your data.\u003c\/li\u003e\n\u003cli\u003eBuild and train supervised learning models.\u003c\/li\u003e\n\u003cli\u003eOptimize and evaluate models by using loss functions and performance metrics.\u003c\/li\u003e\n\u003cli\u003eCreate repeatable and scalable train, evaluate, and test datasets.\u003c\/li\u003e\n\u003cli\u003eImplement ML models by using TensorFlow or Keras.\u003c\/li\u003e\n\u003cli\u003eUnderstand the benefits of using feature engineering.\u003c\/li\u003e\n\u003cli\u003eExplain Vertex AI Model Monitoring and Vertex AI Pipelines.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cb\u003ePrerequisites\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eTo get the most out of this course, participants should have:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSome familiarity with basic machine learning concepts.\u003c\/li\u003e\n\u003cli\u003eBasic proficiency with a scripting language, preferably Python Exam Information.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eMachine Learning on Google Cloud Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eIntroduction to AI and Machine Learning on Google Cloud \u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eRecognize the AI\/ML framework on Google Cloud.\u003c\/li\u003e\n\u003cli\u003eIdentify the major components of Google Cloud infrastructure.\u003c\/li\u003e\n\u003cli\u003eDefine the data and ML products on Google Cloud and how they support the datato-AI lifecycle.\u003c\/li\u003e\n\u003cli\u003eBuild an ML model with BigQueryML to bring data to AI.\u003c\/li\u003e\n\u003cli\u003eDefine different options to build an ML model on Google Cloud.\u003c\/li\u003e\n\u003cli\u003e Recognize the primary features and applicable situations of pre-trained APIs\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003e \u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eAutoML, and custom training. \u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUse the Natural Language API to analyze text.\u003c\/li\u003e\n\u003cli\u003eDefine the workflow of building an ML model.\u003c\/li\u003e\n\u003cli\u003eDescribe MLOps and workflow automation on Google Cloud.\u003c\/li\u003e\n\u003cli\u003eBuild an ML model from end-to-end by using AutoML on Vertex AI.\u003c\/li\u003e\n\u003cli\u003eDefine generative AI and large language models.\u003c\/li\u003e\n\u003cli\u003eUse generative AI capabilities in AI development.\u003c\/li\u003e\n\u003cli\u003eRecognize the AI solutions and the embedded generative AI features.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eLaunching into Machine Learning \u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDescribe how to improve data quality.\u003c\/li\u003e\n\u003cli\u003ePerform exploratory data analysis.\u003c\/li\u003e\n\u003cli\u003eBuild and train supervised learning models.\u003c\/li\u003e\n\u003cli\u003eDescribe AutoML and how to build, train, and deploy an ML model without writing a single line of code.\u003c\/li\u003e\n\u003cli\u003eDescribe BigQuery ML and its benefits.\u003c\/li\u003e\n\u003cli\u003eOptimize and evaluate models by using loss functions and performance metrics.\u003c\/li\u003e\n\u003cli\u003eMitigate common problems that arise in machine learning.\u003c\/li\u003e\n\u003cli\u003eCreate repeatable and scalable training, evaluation, and test datasets.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eTensorFlow on Google Cloud \u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eCreate TensorFlow and Keras machine learning models.\u003c\/li\u003e\n\u003cli\u003eDescribe the TensorFlow main components.\u003c\/li\u003e\n\u003cli\u003eUse the tf.data library to manipulate data and large datasets.\u003c\/li\u003e\n\u003cli\u003eBuild a ML model that uses tf.keras preprocessing layers.\u003c\/li\u003e\n\u003cli\u003eUse the Keras Sequential and Functional APIs for simple and advanced model creation.\u003c\/li\u003e\n\u003cli\u003eTrain, deploy, and productionalize ML models at scale with the Vertex AI Training Service.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003e \u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eFeature Engineering \u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDescribe Vertex AI Feature Store.\u003c\/li\u003e\n\u003cli\u003eCompare the key required aspects of a good feature.\u003c\/li\u003e\n\u003cli\u003eUse tf.keras.preprocessing utilities for working with image data, text data, and sequence data.\u003c\/li\u003e\n\u003cli\u003ePerform feature engineering by using BigQuery ML, Keras, and TensorFlow.ML models at scale with the Vertex AI Training Service.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eMachine Learning in the Enterprise \u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUnderstand the tools required for data management and governance.\u003c\/li\u003e\n\u003cli\u003eDescribe the best approach for data preprocessing: From providing an overview of Dataflow and Dataprep to using SQL for preprocessing tasks.\u003c\/li\u003e\n\u003cli\u003eExplain how AutoML, BigQuery ML, and custom training differ and when to use a particular framework.\u003c\/li\u003e\n\u003cli\u003eDescribe hyperparameter tuning by using Vertex AI Vizier to improve model performance.\u003c\/li\u003e\n\u003cli\u003eExplain prediction and model monitoring and how Vertex AI can be used to manage ML models.\u003c\/li\u003e\n\u003cli\u003eDescribe the benefits of Vertex AI Pipelines.\u003c\/li\u003e\n\u003cli\u003eDescribe best practices for model deployment and serving, model monitoring, Vertex AI Pipelines, and artifact organization.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"268B51US \/ 2026-08-31T09:00:00 \/ Online","offer_id":47534222147803,"sku":"US-1478-IL","price":2680.0,"currency_code":"USD","in_stock":true},{"title":"26BC47US \/ 2026-11-30T09:00:00 \/ Herndon, VA","offer_id":48216575475931,"sku":"US-1478-IL","price":2680.0,"currency_code":"USD","in_stock":true},{"title":"273B82US \/ 2027-03-01T09:00:00 \/ Herndon, VA","offer_id":48309394833627,"sku":"US-1478-IL","price":2680.0,"currency_code":"USD","in_stock":true}],"url":"https:\/\/learningtreeinternational-dirinfosec-hhs.myshopify.com\/products\/machine-learning-on-google-cloud","provider":"Learning Tree International","version":"1.0","type":"link"}