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Gemini for Developers - Google Generative AI - Build AI Apps
Rating: 5.0 out of 5(1 rating)
206 students

Gemini for Developers - Google Generative AI - Build AI Apps

A Developer’s Guide to build AI Apps/Agents using Gemini, Google Gen AI SDK, Google AI Studio, and Vertex AI Studio
Created byK8s Point - Training House for GCP, AI & Kubernetes
Last updated 1/2026
English

What you'll learn

  • Use Gemini models effectively as a developer, not just as a chat interface
  • Build AI-powered applications using Gemini APIs
  • Work with Google AI Studio for rapid prototyping and experimentation
  • Use Vertex AI Studio along with other GCP options
  • Understand and implement different authentication methods in GCP to access a Model
  • Use the Generative AI SDK (Gen AI SDK) with extensive, hands-on examples
  • Understand different Gemini Models and Model lifecycle
  • Gemini CLI - command line agent from Gemini
  • Gemini Code Assist - Enhance your productivity in coding
  • Control model parameters (Temperature, safety setting, tokens) while accessing a Gemini model
  • Cost Control while accessing a model with token restriction
  • Create images with Nano Banana
  • Generate video using Veo models

Course content

9 sections • 43 lectures • 3h 36m total length

  • Introduction2:19
  • Introduction to GCP6:09
  • Google Model Family7:57

    Explore Google's Gemini model family, including Gemini 2.5, 3.0 (pre-GA), and specialized image, video, and music models, with details from Google Cloud documentation and model IDs.

Requirements

  • Very Basic of GCP and Python

Description

Generative AI is rapidly transforming how modern applications are built, and Gemini sits at the core of Google’s AI ecosystem. Whether you are building intelligent assistants, developer tools, automation workflows, or production-ready AI applications, Gemini is the foundation every developer needs to master.

This course is designed specifically for developers who want to use Gemini to build real-world AI-powered applications, not just experiment with prompts.


What You’ll Learn in This Course:

  • Use Gemini models effectively as a developer, not just as a chat interface

  • Build AI-powered applications using Gemini APIs

  • Work with Google AI Studio for rapid prototyping and experimentation

  • Use Vertex AI Studio for enterprise-grade development and deployment

  • Understand and implement different authentication methods in GCP, including:

    • API keys

    • Service accounts

    • Application Default Credentials (ADC)

  • Use the Generative AI SDK (Gen AI SDK) with extensive, hands-on examples

  • Structure prompts, system instructions, and model interactions for real applications

  • Move from local development to cloud-based, scalable AI solutions


Tools & Platforms Covered

This course provides hands-on experience with:

  • Gemini Models

  • Google AI Studio

  • Vertex AI Studio

  • Google Cloud Platform (GCP)

  • Generative AI SDKs with multiple real-world examples

All concepts are demonstrated through practical coding examples, focusing on how developers actually build and integrate AI into applications.


Why Gemini for Developers?

Gemini is not just another large language model—it is deeply integrated into Google’s cloud and developer stack. It supports:

  • Multimodal inputs (text, images, code)

  • Tool usage and function calling

  • Tight integration with Google Cloud services

  • Scalable, secure deployment for production workloads

Understanding Gemini gives you a significant advantage when building next-generation AI applications on Google Cloud.

Who this course is for:

  • Developers who wants to learn how to use AI
  • Wanting to use Gemini outside chatbot and program AI applications
  • Understand how Generative AI works with Gemini

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