Introduction to AI and Machine Learning on Google Cloud

This course is part of multiple programs. Learn more

Instructor: Google Cloud Training

What you'll learn

  •   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.

    • Skills you'll gain

  •   Cloud Infrastructure
  •   MLOps (Machine Learning Operations)
  •   Natural Language Processing
  •   Large Language Modeling
  •   Google Cloud Platform
  •   Prompt Engineering
  •   Cloud Platforms
  •   Artificial Intelligence and Machine Learning (AI/ML)
  •   Generative AI
  •   Machine Learning
  •   Application Programming Interface (API)

    • There are 6 modules in this course

    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.

    AI Foundations

    AI Development Options

    AI Development Workflow

    Generative AI

    Summary

    Explore more from Cloud Computing

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