A Developer's Guide to working with Gemini, Google AI Studio, and Vertex AI Studio - Start you AI Development Here

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

Requirements
- Very Basic of GCP and Python

Description
Generative AI is rapidly transforming how modern applications are built, andGeminisits 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 fordevelopers who want to use Gemini to build real-world AI-powered applications, not just experiment with prompts.

What You'll Learn in This Course:

UseGemini models effectively as a developer, not just as a chat interface

Build AI-powered applications usingGemini APIs

Work withGoogle AI Studiofor rapid prototyping and experimentation

UseVertex AI Studiofor enterprise-grade development and deployment

Understand and implementdifferent authentication methods in GCP, including:

API keys

Service accounts

Application Default Credentials (ADC)

Use theGenerative 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 SDKswith multiple real-world examples

All concepts are demonstrated throughpractical 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 asignificant advantagewhen 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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