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Introduction to AI and Machine Learning on Google Cloud

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Overview

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This course introduces Google Cloud's AI and machine learning (ML) capabilities, with a focus on developing both generative and predictive AI projects. It explores the various technologies, products, and tools available throughout the data-to-AI lifecycle, empowering data scientists, AI developers, and ML engineers to enhance their expertise through interactive exercises.

Syllabus

  • Introduction
    • Course introduction
  • AI foundations
    • A use case
    • AI on Google Cloud
    • AI infrastructure
    • AI models
    • BigQuery ML
    • Predict Visitor Purchases with BigQuery ML
    • Summary
    • Quiz
    • Reading
  • Generative AI
    • Generative AI on Google Cloud
    • Foundation models
    • Idea to app
    • Prompt engineering
    • Deployment and model tuning
    • Get Started with Agent Studio
    • AI agents
    • Agent building with Google Cloud
    • Summary
    • Quiz
    • Reading List
  • AI development options
    • AI developement options
    • Vertex AI
    • AutoML
    • Pre-trained APIs
    • Custom training
    • Lab introduction
    • Entity and Sentiment Analysis with the Natural Language API
    • Summary
    • Quiz
    • Reading
  • AI development worklow
    • ML workflow
    • Data preparation
    • Model development
    • Model serving
    • MLOps and workflow automation
    • Lab introduction (optional)
    • Agent Platform: Predicting Loan Risk with AutoML
    • How a machine learns (optional)
    • Summary
    • Quiz
    • Reading
  • Summary
    • Course summary
    • Reading
    • Course resources
  • Your Next Steps
    • Claim credential

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