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Google Gemini for Beginners: From Basics to Building AI Apps

Explore this Gemini course to master Google Gemini’s AI features, including text-to-text and image-to-text. Build apps, learn prompting techniques, and enhance workflows with tools like Vertex AI.

4.5
17 Lessons
3h 30min
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
  • Basic understanding of the key features and functionalities of Google Gemini
  • An understanding of Gemini’s text-to-text, text/image-to-text, and text-to-chat capabilities and how these can be leveraged in real-world applications
  • The ability to create a Gemini-powered application by utilizing API keys, libraries, and the Python SDK
  • An understanding of the tools provided by Vertex AI for utilizing Gemini

Learning Roadmap

17 Lessons1 Assessment

1.

Introduction to Google Gemini

Introduction to Google Gemini

Explore the basics of Gemini’s multimodal capabilities.

3.

Gemini and Vertex AI

Gemini and Vertex AI

4 Lessons

4 Lessons

Take your skills further by exploring Google Vertex AI and its tools for managing and deploying Gemini-based applications.
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Author NameGoogle Gemini for Beginners:From Basics to BuildingAI Apps
Developed by MAANG Engineers
Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.
ABOUT THIS COURSE
Unlock the power of Google Gemini, Google’s cutting-edge generative AI model, and discover its transformative potential. This course deeply explains Gemini’s capabilities, including text-to-text, image-to-text, text-to-code, and speech-to-text functionalities. Begin with an introduction to unimodal and multimodal models and learn how to set up Gemini using the Google Gemini API. Dive into prompting techniques and practical applications, such as building a real-world Pictionary game powered by Gemini. Explore Google Vertex AI tools to enhance and deploy your AI models, incorporating features like speech-to-text. This course is perfect for developers, data scientists, and anyone excited to explore the transformative potential of Google’s Gemini AI.

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Frequently Asked Questions

What is Google Gemini used for?

Google Gemini is used for generative AI applications, such as text-to-text, image-to-text, coding assistance, and speech-to-text, enabling smarter workflows and multimodal AI capabilities.

How is Google Gemini trained?

Google Gemini is trained using large-scale datasets and advanced machine learning techniques, integrating multimodal data like text, images, and speech for versatile generative AI outputs.

Is Google Gemini free to use?

Google Gemini is not entirely free; access depends on the API tier or specific services. However, the free plan has generous rate limits, allowing developers to explore its capabilities effectively.

How many languages does Google Gemini support?

Google Gemini supports over 40 languages and offers various linguistic capabilities for text generation, translations, and multimodal AI tasks.

Can Google Gemini assist with coding?

Yes, Google Gemini assists with coding by generating text-to-code solutions, debugging, and completing code snippets, streamlining the development workflow.

What is Google Gemini?

Google Gemini is Google’s latest and most advanced AI model, designed to be multimodal, meaning it can process and understand various types of information, including text, images, audio, and video.