Introduction to AI and Machine Learning on Google Cloud

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Course Overview

This 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 based on the different goals of users, including data scientists, AI developers, and ML engineers.

Who Should Attend

Professional AI developers, data scientists, and ML engineers who want to build ML models, develop AI or ML applications or solutions and build end-to-end ML pipelines on Google Cloud

Course Objectives

    • Recognize the data-to-AI technologies and tools offered by Google Cloud.
    • Use generative AI capabilities in applications.
    • Choose between different options to develop an AI project on Google Cloud.
    • Build ML models end-to-end by using Vertex AI.

Course Outline

  • Course Introduction
  • AI Foundations
  • AI Development Options
  • AI Development Workflow
  • Generative AI
  • Course Summary

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Class Dates & Times

Class times are listed Central time

This is a 1-day class

Class dates not listed.
Please contact us for available dates and times.