Course Overview of Introduction to AI and Machine Learning on Google Cloud

This instructor-led course introduces learners to Google Cloud’s AI and Machine Learning ecosystem, covering both predictive and generative AI. Participants will explore the full data-to-AI lifecycle, including infrastructure, development tools, and deployment strategies.

Through hands-on labs and guided exercises, learners will gain practical experience in building ML models, working with generative AI tools like Gemini, and developing AI-powered applications using Vertex AI.

After completing Introduction to AI and Machine Learning on Google Cloud, participants will be able to:

  • Understand the data-to-AI lifecycle on Google Cloud
  • Identify key AI/ML tools and services on Google Cloud
  • Build ML models using BigQuery ML and Vertex AI
  • Understand generative AI concepts and foundation models
  • Create GenAI applications using prompt engineering
  • Explore AI agent development using Google Cloud tools
  • Choose the right AI development approach (API, AutoML, custom)
  • Implement end-to-end ML workflows and pipelines

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Key Features of Introduction to AI and Machine Learning on Google Cloud:

  • 6 Learning Modules covering AI fundamentals to deployment

  • Hands-On Labs for ML model building and GenAI applications

  • Coverage of Generative AI including Gemini and AI Agents

  • End-to-End ML Workflow using Vertex AI

  • Comparison of AI development approaches (No-code to custom)

  • Real-world use cases and guided exercises

Who should Attend Introduction to AI and Machine Learning on Google Cloud?

  • AI Developers
  • Data Scientists
  • Machine Learning Engineers
  • Software Developers
  • Cloud Engineers
  • Data Analysts
  • AI Enthusiasts
  • Professionals interested in AI and Generative AI on Google Cloud

Prerequisites of Introduction to AI and Machine Learning on Google Cloud:

  • Basic understanding of machine learning concepts
  • Familiarity with programming (Python/SQL recommended)
  • Basic cloud knowledge (preferred but not mandatory)

    • Why choose CloudThat as your training partner for Introduction to AI and Machine Learning on Google Cloud?

    • Specialized Google Cloud Expertise - CloudThat specializes in cloud and AI technologies, offering focused and industry-aligned Google Cloud training programs with real-world implementation experience. 
    •  Industry-Recognized Trainers  - Our trainers are certified Google Cloud professionals with expertise in AI, ML, Data Engineering, and Generative AI solutions. 
    • Hands-On Learning Approach - CloudThat emphasizes practical learning through guided labs, exercises, demonstrations, and enterprise-focused AI implementation scenarios. 
    • Customized Learning Paths - We offer tailored learning journeys suitable for beginners, developers, data professionals, and enterprise AI practitioners.
    •  Interactive Learning Experience - Training includes live demonstrations, discussions, quizzes, architecture walkthroughs, and practical implementation exercises.
    • Career and Certification Support - CloudThat supports learners with project guidance, interview preparation, and industry-focused AI and cloud career learning paths. 
    • Continuously Updated Content - Our course content is regularly updated to align with the latest advancements in Google Cloud AI, Vertex AI, Gemini, and Generative AI technologies. 
    • Trusted by Enterprises Worldwide - Thousands of learners and enterprises trust CloudThat for advanced cloud, AI, and Machine Learning training programs. 

    Learning Objective of Course

    • Understand AI, Machine Learning, and Generative AI concepts on Google Cloud
    • Learn the complete data-to-AI lifecycle and ML workflow
    • Build ML models using BigQuery ML and Vertex AI
    • Explore foundation models, Gemini, and prompt engineering concepts
    • Understand AI agent development and Vertex AI Agent Builder
    • Compare pre-trained APIs, AutoML, and custom model development approaches
    • Implement ML workflows using Vertex AI and AutoML
    • Learn MLOps and workflow automation concepts
    • Build AI-powered applications using Google Cloud AI services
    • Apply best practices for AI and ML solution development 

    Course Outline of Introduction to AI and Machine Learning on Google Cloud: Download Course Outline

    Lecture Content

    • Course Overview
    • Learning Objectives
    • AI Framework (Infrastructure, Development, Solutions)

    Lab Content

    • NA

    Lecture Content

    • AI/ML Framework on Google Cloud
    • Infrastructure (Compute & Storage)
    • Data and ML Products Overview
    • Introduction to BigQuery ML

    Lab Content

    • Lab: Building ML Model using BigQuery ML

    Lecture Content

    • Introduction to Generative AI
    • Foundation Models
    • Prompt Engineering
    • Vertex AI Studio
    • AI Agents and Agent Development

    Lab Content

    • Lab: Building a GenAI Application

    Lecture Content

    • Pre-trained APIs
    • AutoML (Low-code/No-code)
    • Custom Model Training
    • Tool Selection Strategy

    Lab Content

    • Lab: Using Natural Language API

    Lecture Content

    • ML Workflow (Data → Model → Deployment)
    • Vertex AI Pipelines
    • MLOps Concepts

    Lab Content

    • Lab: End-to-End ML Model using AutoML

    Lecture Content

    • Key Concepts Recap
    • Tools and Technologies Overview
    • Best Practices

    Lab Content

    • Final Discussion / Wrap-up

    Certification Details of Introduction to AI and Machine Learning on Google Cloud:

      Course Completion Certificate

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    Course ID: 28408

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    FAQs for Introduction to AI and Machine Learning on Google Cloud:

    Data scientists, AI developers, and ML engineers.

    AI fundamentals, generative AI, Vertex AI, ML workflows, and AI development options.

    Basic knowledge of Python or SQL is recommended.

    Approximately 2 days (480 minutes).

    Yes, including ML and GenAI labs.

    Yes, including Gemini, prompt engineering, and AI agents.

    Yes, including BigQuery ML and Vertex AI-based models.

    Enquire Now