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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.

17 lessons

3h 30min

Created by Educative

Google Gemini for Beginners: From Basics to Building AI Apps

What's included

17 lessons across 4 modules
AI Tutor on every lesson

Join 3.1 million developers at

What You'll Learn

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

Introduction to Google Gemini

Explore the basics of Gemini’s multimodal capabilities.

Course Overview

What Are Generative AI Models?

What Is Google Gemini?

Accessing Gemini: API Keys and Setup

Multimodal Prompting with Google Gemini

Capabilities of Gemini

Dive into Gemini’s capabilities and explore its ability to handle text, images, and audio/video-to-text processing.

Creating a Gemini-Powered Application

Generating a List of Words

Understanding Hand-Drawn Images with Image-to-Text Processing

Generating the Evaluation Code in Python

Building the Complete Pictionary Application

Enhancing AI with Audio/Video-to-Text Generation

Challenge: Creating a Chatbot with Gemini

Gemini and Vertex AI

4 Lessons

Take your skills further by exploring Google Vertex AI and its tools for managing and deploying Gemini-based applications.

Assess Your Knowledge

Assessment

Conclusion

Wrap up your learning journey by reviewing the fundamentals of generative AI, multimodal LLMs, and the principles of ethical AI development.

Exploring the Future of Google Gemini

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

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.

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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.