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Free Google Gemini Course: Master AI from Basics to Agents

Master Google Gemini from basic prompts to advanced agentic workflows in this complete 10-part course. Through hands-on tutorials, you will explore the Gemini API, AI Studio, workspace integrations, and the Gemini CLI to build...

10 lessons 11h 04min total Free

Course overview

This course delivers a practical, end-to-end education on Google Gemini, moving from fundamental concepts to sophisticated implementations. You will start by understanding Large Language Models, attention mechanisms, and the Gemini API to enable text generation and vision capabilities. The curriculum then guides you through deep integrations with Google Workspace apps like Gmail, Docs, and Sheets for real-world productivity gains. Advanced sections unlock the full power of Google AI Studio for multimodal processing, video generation, and real-time streaming. The final modules focus on agentic AI, where you will build a self-correcting Python coding agent and master the Gemini CLI for automated, sandboxed development workflows.

Who this course is for

This course serves beginners who want a structured introduction to generative AI without deep machine learning prerequisites, as well as developers looking to integrate Gemini's API and CLI into their applications. It is ideal for professionals seeking to boost productivity by leveraging Gemini inside Google Workspace, and for power users ready to explore advanced features like Deep Research, custom Gems, and agentic loops. Whether you are an entrepreneur, a content creator, or a technical team lead managing AI adoption, the progression from basic prompting to autonomous agents provides relevant, actionable skills.

How to study this sequence

Follow the lessons sequentially, as they build systematically from foundational theory to autonomous agent construction. Begin with the freeCodeCamp beginner course to grasp core concepts like embeddings and the Gemini API. Next, absorb the feature overviews to understand Gemini's ecosystem, including its context window and multimodal strengths. Practice in Google AI Studio as you watch the dedicated guide to solidify your prompting and media generation skills. Complete the course by dedicating significant time to the final agentic coding and CLI projects, replicating the code examples to truly internalize how to build, debug, and deploy AI-powered workflows.

What you should be able to do

Upon completing this course, you will be able to navigate Google Gemini’s entire ecosystem with confidence. You will configure API keys, implement powerful chatbot and vision features, and automate productivity tasks across Google Workspace. You will gain the ability to use Google AI Studio for real-time streaming and creative media generation. Most importantly, you will possess the hands-on skill to architect autonomous agentic loops and utilize the Gemini CLI to manage context, execution, and security for real-world development projects.

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What you learn in this Google Gemini course

This course organizes 10 Google Gemini lessons in a practical order, starting with the base and moving toward examples you can repeat in your own projects.

The main practice points are Understand Large Language Models and how they generate text, Obtain and configure Google Gemini API keys for application development, Implement text generation, vision, and chat capabilities with Gemini and Create embeddings for semantic search and knowledge retrieval. Use this page to review the course proposal, check the key topics, and open the lessons in the recommended order.

What you will practice

  • Understand Large Language Models and how they generate text
  • Obtain and configure Google Gemini API keys for application development
  • Implement text generation, vision, and chat capabilities with Gemini
  • Create embeddings for semantic search and knowledge retrieval
  • Build a functional AI chatbot using Gemini's conversation API
  • Understand how Gemini integrates into Google Workspace applications for daily productivity

Concepts covered

Large Language Models (LLMs) Gemini API Transformers and Attention Mechanisms Text Embeddings Multimodal AI Prompt Engineering Retrieval-Augmented Generation (RAG) Generative AI

Course lessons

10 tutoriais organizados em sequência.

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Course summary

This Google Gemini course brings together 10 lessons in a guided sequence. It starts with "Google Gemini AI Course for Beginners" and moves step by step, so each lesson supports the next one and helps turn the topic into practice.

During the course, the practical focus is on Understand Large Language Models and how they generate text, Obtain and configure Google Gemini API keys for application development, Implement text generation, vision, and chat capabilities with Gemini and Create embeddings for semantic search and knowledge retrieval. These points help you watch with a goal instead of treating the lesson as a loose introduction.

The course also introduces important ideas such as Large Language Models (LLMs), Gemini API, Transformers and Attention Mechanisms, Text Embeddings and Multimodal AI, which makes it easier to understand later tutorials and decide when each resource is useful.

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How to get more from this course

Who this Google Gemini course is for

This advanced course is for learners who already understand the fundamentals of Google Gemini and want to develop deeper technical or professional skills.

What you can do after finishing

By the end, you should be able to review the main idea of the course and practice Understand Large Language Models and how they generate text, Obtain and configure Google Gemini API keys for application development, Implement text generation, vision, and chat capabilities with Gemini and Create embeddings for semantic search and knowledge retrieval with more confidence.

Recommended study order

Watch the 10 lessons in the order shown on this page. Pause after each lesson to repeat the examples and only move on when the previous step makes sense.

What to study next

After finishing the course, explore the Google Gemini topic to find related tutorials and keep studying with more context.

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Course questions

Is this Google Gemini course for beginners?

No. This course covers advanced Google Gemini topics and is best suited to learners who already understand the fundamentals.

How many lessons are in this course?

This course currently has 10 lessons and about 11h 04min in total.

What should I do after finishing the course?

The best next step is to explore the Google Gemini topic and choose a related tutorial that matches what you want to practice.

Is this course free?

Yes. This is a free course organized by CursoB so you can study Google Gemini in a structured sequence.

Do I need previous experience to follow the course?

Yes. You should already understand the fundamentals of Google Gemini before starting this advanced course.

Should I watch the lessons in order?

Yes. The recommended path is to watch the 10 lessons in the order shown, because each lesson helps prepare the next one.

Can I use this course for practical projects?

Yes. Use the course as a practical reference to train Understand Large Language Models and how they generate text, Obtain and configure Google Gemini API keys for application development, Implement text generation, vision, and chat capabilities with Gemini and Create embeddings for semantic search and knowledge retrieval and adapt the examples to your own projects.

Does this course include a certificate?

CursoB stopped issuing certificates for its own courses in May 2026. CursoB no longer offers completion certificates. Courses and tutorials remain free to study. If content is hosted on another platform, any certificate depends exclusively on the original author or platform rules.

Are the lessons updated?

CursoB periodically reviews the Google Gemini catalog and may add, remove, or reorder lessons when better content is found.

Where can I find more content on this subject?

Explore the Google Gemini topic to find related tutorials and complementary courses.

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What each course lesson covers

Use these notes to understand the sequence before opening each lesson.

  1. 01 Google Gemini AI Course for Beginners In this lesson, you practice Understand Large Language Models and how they generate text, Obtain and configure Google Gemini API keys for application development and Implement text generation, vision, and chat capabilities with Gemini.
  2. 02 Gemini 101: Your Essential Guide to Google’s Next-Gen AI In this lesson, you practice Understand how Gemini integrates into Google Workspace applications for daily productivity, Identify high-impact use cases for generative AI within your specific organization and Implement change management strategies that accelerate AI adoption across teams.
  3. 03 Every Google Gemini Feature Explained in One Video In this lesson, you practice Understand the difference between free and paid Gemini features, Master file uploads, image analysis, and document summarization and Implement Gemini integrations with Google Workspace applications.
  4. 04 How To Master Google Gemini in 2026 (Free Course) In this lesson, you practice Understand Gemini's complete feature set and pricing tiers, Configure Custom Instructions and Personal Intelligence for tailored responses and Utilize advanced tools like Deep Research, Canvas, and Study Guides effectively.
  5. 05 Master NEW Gemini in 33 Minutes (2026 Tutorial) In this lesson, you practice Understand Gemini's ecosystem advantage and 1M token context window, Integrate Google Workspace (Gmail, Calendar, Drive, Docs, Sheets) into Gemini workflows and Use Deep Research to synthesize web and file-based information into comprehensive reports.
  6. 06 Google Gemini: PRO Tutorial for Beginners In this lesson, you practice Understand Google Gemini's core capabilities and position within the AI landscape, Apply Gemini to practical tasks including text rewriting, knowledge seeking, and fact-checking and Generate creative content including stories, images, and structured data extraction.
  7. 07 Google Gemini Full Tutorial: Every Feature Explained (Including Google AI Studio) In this lesson, you practice Navigate the Gemini interface and craft effective prompts for various use cases, Leverage Deep Research to conduct comprehensive, sourced information gathering and Create and iterate on content using Canvas and image generation features.
  8. 08 Unlock Gemini’s Powers in Google AI Studio (Full Guide) In this lesson, you practice Explore all features of Google AI Studio and when to use each capability effectively, Process and analyze videos, images, and multimedia content using Gemini's analysis capabilities and Generate creative media including images, videos, music, and text-to-speech content.
  9. 09 Guide to Agentic AI – Build a Python Coding Agent with Gemini In this lesson, you practice Build a functional AI agent with Python and the Gemini Flash API, Understand agentic loops and how tool calling enables autonomous decision-making and Implement core tools for file interaction, code execution, and feedback collection.
  10. 10 Gemini CLI Essentials – Full Course In this lesson, you practice Instalar e autenticar Gemini CLI com API key do Google, Gerenciar contexto e memória através de arquivos markdown e sessões and Implementar segurança com sandboxes, permissions e policy files.