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Developing a Full-Stack App with the Gemini API

Developing a Full-Stack App with the Gemini API

1h 57mIntermediate2026-01-29

Authors

Fikayo Adepoju

Fikayo Adepoju

Technical Writer | Software Developer

Course details

This project-driven course progressively teaches you how to build an AI-powered travel planner using Node.js and Google’s Gemini API. Instructor Fikayo Adepoju starts by exploring Gemini’s core capabilities, beginning with how to use text generation to craft structured travel suggestions and plans. Learn how to allow users to upload images of preferred destinations to create a more robust experience, before advancing to function calling for dynamic API integrations to take account of the weather. Along the way, get tips on adding optimizations, using system instructions to personalize recommendations based on user preferences, and implementing safety filters for ethical moderation. By the end of this course, you’ll be equipped with the skills you need to design and build smart travel tools powered by Gemini’s AI capabilities.

Learning objectives
Design and optimize prompts for structured generation.
Integrate external APIs with tool calling.
Process multimodal inputs in your prompts.
Implement safety filters to protect your user’s experience.
Use system instructions to design generation preferences.
Combine multiple Gemini features into a full-stack application.

Concepts

Introduction

  • Build a full-stack app with Gemini

Project Planning and Setup

  • Project plan
  • Walking through the seed project
  • Setting up the back end

Travel Destinations Search

  • Feature description and plan
  • Creating the travel suggestions generation endpoint
  • User interface implementation
  • Testing and fine-tuning

Landmark Image-Based Travel Suggestions

  • Feature description and plan
  • Implementing the image prompt endpoint
  • Implementing the image search feature
  • Testing the feature

Travel Weather Feature

  • Feature description and plan
  • Creating the function calling method
  • Creating the weather query endpoint
  • Integrating the weather feature
  • Testing the weather feature

Gemini Optimizations

  • Structured outputs over JSON parsing
  • Adding safety checks
  • Saving costs with media resolution

Conclusion

  • Next steps

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