Cloud Hero: Gemini & Vertex AI is an interactive, challenge-based learning experience designed for developers and AI practitioners who want to modernize application development using Gemini models and Vertex AI. Participants will learn how to interact with Gemini using APIs, implement function calling, build applications with the Vertex AI Python SDK, and deploy AI-powered applications using Streamlit and Cloud Run. 

Through guided labs and real-world scenarios, learners will gain practical experience integrating generative AI capabilities into modern cloud applications. 

After completing Cloud Hero: Gemini & Vertex AI, students will be able to

  • Understand Gemini and Vertex AI integration workflows.
  • Interact with Gemini models using REST APIs and cURL.
  • Build AI-powered applications using the Vertex AI Python SDK.
  • Implement function calling with Gemini.
  • Extract information and generate code using natural language prompts.
  • Deploy Streamlit applications integrated with Gemini.
  • Build production-ready generative AI applications on Google Cloud.
  • Apply prompt engineering techniques to improve AI outputs.

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Key Features of Cloud Hero: Gemini & Vertex AI

  • Introduction to Gemini on Vertex AI

  • API-Based AI Development

  • Function Calling with Gemini

  • Vertex AI Python SDK Development

  • Prompt Engineering for Developers

  • Streamlit-Based AI Applications

  • Cloud-Native AI Deployment

  • Hands-On Challenge-Based Learning 

Who should Attend Cloud Hero: Gemini & Vertex AI

  • Application Developers
  • AI Engineers
  • Cloud Developers
  • Software Engineers
  • Machine Learning Practitioners
  • Generative AI Enthusiasts
  • Google Cloud Developers

Prerequisites of Cloud Hero: Gemini & Vertex AI

  • Prior experience with Vertex AI recommended.
  • Basic Python programming knowledge.
  • Familiarity with APIs and cloud application development.
  • Understanding of Google Cloud fundamentals.

    Course Outline of Cloud Hero: Gemini & Vertex AI Download Course Outline

    Topics

    • Gemini API Fundamentals
    • REST API Integration
    • cURL Commands
    • Prompt-Based Interactions

    Learning Outcomes

    • Understand Gemini API architecture.
    • Send requests to Gemini using cURL.
    • Interpret API responses effectively.
    • Build foundational generative AI integrations.

    Activities

    • Lab: GSP1228 – Getting Started with the Vertex AI Gemini API with cURL
    • API Exploration Exercise
    • Prompt Testing Challenge

    Topics

    • Function Calling Concepts
    • Tool Integration
    • Structured Responses
    • Workflow Automation

    Learning Outcomes

    • Understand function calling in Gemini.
    • Integrate external functions into AI workflows.
    • Build AI applications that interact with business logic.
    • Design intelligent agent-like interactions.

    Activities

    • Lab: GSP1227 – Introduction to Function Calling with Gemini
    • Function Calling Workshop
    • AI Workflow Challenge

    Topics

    • Vertex AI Python SDK
    • Gemini Integration in Python
    • Code Generation
    • Information Extraction

    Learning Outcomes

    • Build Gemini-powered applications using Python.
    • Generate code and structured outputs using prompts.
    • Integrate AI functionality into Python applications.
    • Use Vertex AI SDK features effectively.

    Activities

    • Lab: GSP1209 – Getting Started with the Vertex AI Gemini API and Python SDK
    • Python Development Exercise
    • SDK Integration Workshop

    Topics

    • Streamlit Framework
    • Cloud Run Deployment
    • Gemini API Integration
    • AI Application Architecture

    Learning Outcomes

    • Build AI-powered Streamlit applications.
    • Integrate Gemini into interactive web applications.
    • Deploy applications using Cloud Run.
    • Understand scalable AI deployment patterns.

    Activities

    • Lab: GSP1229 – Utilize the Streamlit Framework with Cloud Run and the Gemini API in Vertex AI
    • Application Deployment Challenge
    • End-to-End AI App Workshop

    Certification Details of Cloud Hero: Gemini & Vertex AI

      Participants receive a Cloud Hero completion badge and recognition upon successful completion of all challenge activities.

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    Course ID: 29539

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    FAQs of Cloud Hero: Gemini & Vertex AI

    This Cloud Hero is designed for developers and AI practitioners who want practical experience building applications with Gemini and Vertex AI.

    Yes. Moderate experience with Vertex AI is recommended.

    Yes. The entire Cloud Hero is based on practical labs and challenge-based learning.

    Python is used extensively through the Vertex AI Python SDK labs.

    Yes. Learners build and deploy a Streamlit application integrated with Gemini using Cloud Run.

    The course covers prompt engineering, code generation, information extraction, function calling, and generative AI application development.

    The complete experience takes approximately 225 minutes.

    Participants typically earn a Cloud Hero completion badge upon successful completion of all challenge activities.

    Enquire Now