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Building AI Apps with Google AI Studio and Gemini

Published by O'Reilly Media, Inc.

Intermediate to advanced content levelIntermediate to advanced

Harnessing Gemini’s multimodal capabilities with Gemini and Google AI Studio

Course outcomes

  • Understand Gemini 3.0 architecture and its capabilities
  • Develop applications utilizing Gemini’s crossmodal reasoning
  • Optimize prompts for multimodal data processing
  • Leverage Google AI Studio to implement the Gemini API for practical applications, from chatting with PDFs to interactively querying videos

Join expert Lucas Soares to dive into in-depth exploration of building applications using the Gemini API, focusing on the latest Gemini 3.0 models, both flash and advanced. You’ll gain a comprehensive understanding of Gemini’s architecture, its multimodal capabilities, and best practices for prompt design and model integration. You’ll get hands-on experience developing end-to-end applications, leveraging Gemini’s state-of-the-art performance in areas like reasoning, coding, and multimedia processing.

What you’ll learn and how you can apply it

  • Learn the fundamentals of Gemini and its API
  • Learn how to prototype applications with Google AI Studio
  • Explore the advanced features of Gemini models for app development
  • Design effective prompts for enhanced model performance
  • Integrate Gemini models into real-world applications
  • Improve multimodal application accuracy and efficiency

This live event is for you because...

  • You’re a software developer, AI engineer, or data scientist interested in building cutting-edge applications with multimodal AI capabilities.

Prerequisites

  • A basic understanding of modern LLMs
  • Experience with programming languages such as Python
  • Familiarity with RESTful APIs and web services

Recommended preparation:

Recommended follow-up:

Schedule

The time frames are only estimates and may vary according to how the class is progressing.

Introduction (20 minutes) Presentation and demonstration: Introduction to Google’s Gemini; Gemini models and capabilities; Gemini app; Google AI Studio Hands-on exercise: Set up environment and API keys Break

First steps of building with Gemini (60 minutes) Presentation: Walkthrough of Google AI Studio for prototyping Gemini apps; building a Gemini app Hands-on exercises: Talk, show, and share with the multimodal live API using Gemini 3.0; build a simple multimodal chatbot with Gemini Flash Q&A Break

Developing a process for building Gemini apps (70 minutes) Presentation: Designing and testing prompts for text, image, and audio inputs; prototyping, building, and deploying apps Hands-on exercises: Develop multimodal prompts with Google AI Studio; build a multimodal chat with Docs app Q&A Break

Systematically improving your Gemini apps (30 minutes) Presentation: Testing your application and assessing latency, cost, and quality in the Google AI Studio Dashboard Hands-on exercise: Improve your app systematically across latency, cost, and quality

Agentic workflows with Gemini (60 minutes) Presentation: Introduction to agents and agentic workflows Hands-on exercise: Build a simple personal assistant Q&A

Your Instructor

  • Lucas Soares

    Lucas Soares is a machine learning engineer who has worked at K1 Digital and Biometrid, where he developed computer vision and NLP models for applications such as document verification, OCR-based applications, and recommender systems. Lucas has also developed various ML models, including neural networks, Siamese networks, convolutional neural networks, LSTMs, and genetic algorithms.

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Skill covered

Gemini