Responsible AI for Developers: Fairness & Bias
Earned jan. 26, 2026 EST
Responsible AI for Developers: Privacy & Safety
Earned jan. 26, 2026 EST
Responsible AI for Developers: Interpretability & Transparency
Earned jan. 26, 2026 EST
Introduction to Vertex AI Studio
Earned jan. 12, 2026 EST
Gen AI Agents: Transform Your Organization
Earned jan. 12, 2026 EST
Gen AI Apps: Transform Your Work
Earned jan. 12, 2026 EST
Gen AI: Navigate the Landscape
Earned jan. 12, 2026 EST
Gen AI: Beyond the Chatbot
Earned jan. 12, 2026 EST
Gen AI: Unlock Foundational Concepts
Earned jan. 12, 2026 EST
Develop Gen AI Apps with Gemini and Streamlit
Earned août 16, 2025 EDT
Explore Generative AI in Agent Platform
Earned août 16, 2025 EDT
Inspect Rich Documents with Gemini Multimodality and Multimodal RAG
Earned août 12, 2025 EDT
Build Real World AI Applications with Gemini and Imagen
Earned juil. 18, 2025 EDT
Google Security Operations - Deep Dive
Earned avr. 4, 2025 EDT
Create Engaging Video with Google Vids
Earned jan. 2, 2025 EST
Create Image Captioning Models
Earned déc. 23, 2024 EST
Transformer Models and BERT Model
Earned déc. 22, 2024 EST
Encoder-Decoder Architecture
Earned déc. 22, 2024 EST
Attention Mechanism
Earned déc. 22, 2024 EST
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation
Earned déc. 22, 2024 EST
Introduction to Security in the World of AI
Earned déc. 22, 2024 EST
Machine Learning Operations (MLOps) for Generative AI
Earned déc. 22, 2024 EST
Google Security Operations - Fundamentals
Earned déc. 22, 2024 EST
Gemini for Security Engineers
Earned déc. 18, 2024 EST
Google Sheets
Earned déc. 18, 2024 EST
Google Calendar
Earned déc. 18, 2024 EST
Google Sheets - Advanced Topics
Earned oct. 31, 2024 EDT
Gmail
Earned oct. 31, 2024 EDT
Prompt Design in Agent Platform
Earned oct. 30, 2024 EDT
Introduction to Image Generation
Earned oct. 19, 2024 EDT
Gemini in Google Drive
Earned oct. 17, 2024 EDT
Gemini in Google Meet
Earned oct. 17, 2024 EDT
Gemini in Google Sheets
Earned oct. 17, 2024 EDT
Gemini in Google Slides
Earned oct. 17, 2024 EDT
Gemini in Google Docs
Earned oct. 17, 2024 EDT
Gemini in Gmail
Earned oct. 17, 2024 EDT
Introduction to Google Workspace with Gemini
Earned oct. 17, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned août 29, 2024 EDT
Introduction to Responsible AI
Earned août 16, 2024 EDT
Introduction to Large Language Models
Earned août 16, 2024 EDT
Introduction to Generative AI
Earned août 16, 2024 EDT
This course introduces concepts of responsible AI and AI principles. It covers techniques to practically identify fairness and bias and mitigate bias in AI/ML practices. It explores practical methods and tools to implement Responsible AI best practices using Google Cloud products and open source tools.
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This course introduces important topics of AI privacy and safety. It explores practical methods and tools to implement AI privacy and safety recommended practices through the use of Google Cloud products and open-source tools.
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This course introduces concepts of AI interpretability and transparency. It discusses the importance of AI transparency for developers and engineers. It explores practical methods and tools to help achieve interpretability and transparency in both data and AI models.
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This course introduces Vertex AI Studio, a tool to interact with generative AI models, prototype business ideas, and launch them into production. Through an immersive use case, engaging lessons, and a hands-on lab, you’ll explore the prompt-to-product lifecycle and learn how to leverage Vertex AI Studio for Gemini multimodal applications, prompt design, prompt engineering, and model tuning. The aim is to enable you to unlock the potential of gen AI in your projects with Vertex AI Studio.
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Gen AI Agents: Transform Your Organization is the fifth and final course of the Gen AI Leader learning path. This course explores how organizations can use custom gen AI agents to help tackle specific business challenges. You gain hands-on practice building a basic gen AI agent, while exploring the components of these agents, such as models, reasoning loops, and tools.
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Transform Your Work With Gen AI Apps is the fourth course of the Gen AI Leader learning path. This course introduces Google’s gen AI applications, such as Google Workspace with Gemini and NotebookLM. It guides you through concepts like grounding, retrieval augmented generation, constructing effective prompts and building automated workflows.
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Gen AI: Navigate the Landscape s the third course of the Gen AI Leader learning path. Gen AI is changing how we work and interact with the world around us. But as a leader, how can you harness its power to drive real business outcomes? In this course, you explore the different layers of building gen AI solutions, Google Cloud’s offerings, and the factors to consider when selecting a solution.
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Gen AI: Beyond the Chatbot is the first course of the Gen AI Leader learning path and has no prerequisites. This course aims to move beyond the basic understanding of chatbots to explore the true potential of generative AI for your organization. You explore concepts like foundation models and prompt engineering, which are crucial for leveraging the power of gen AI. The course also guides you through important considerations you should make when developing a successful gen AI strategy for your organization.
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Gen AI: Unlock Foundational Concepts is the second course of the Gen AI Leader learning path. In this course, you unlock the foundational concepts of generative AI by exploring the differences between AI, ML, and gen AI, and understanding how various data types enable generative AI to address business challenges. You also gain insights into Google Cloud strategies to address the limitations of foundation models and the key challenges for responsible and secure AI development and deployment.
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Complete the intermediate Develop Gen AI Apps with Gemini and Streamlit skill badge course to demonstrate skills in text generation, applying function calls with the Python SDK and Gemini API, and deploying a Streamlit application with Cloud Run. In this course, you learn Gemini prompting, test Streamlit apps in Cloud Shell, and deploy them as Docker containers in Cloud Run.
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Complete the intermediate Explore Generative AI in Agent Platform skill badge to demonstrate skills in text generation, image and video analysis for enhanced content creation, and applying function calling techniques within the Gemini API. Discover how to leverage sophisticated Gemini techniques, explore multimodal content generation, and expand the capabilities of your AI-powered projects.
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Complete the intermediate Inspect Rich Documents with Gemini Multimodality and Multimodal RAG skill badge course to demonstrate skills in the following: using multimodal prompts to extract information from text and visual data, generating a video description, and retrieving extra information beyond the video using multimodality with Gemini; building metadata of documents containing text and images, getting all relevant text chunks, and printing citations by using Multimodal Retrieval Augmented Generation (RAG) with Gemini.
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Complete the introductory Build Real World AI Applications with Gemini and Imagen skill badge to demonstrate skills in the following: image recognition, natural language processing, image generation using Google's powerful Gemini and Imagen models, deploying applications on the Google Cloud Agent Platform.
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Take these next steps to learn more about the Google Security Operations Platform. Build on fundamental knowledge to go deeper on customization and tuning.
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In this course, you'll learn about Google Vids, an online video creation and editing app available to select Google Workspace users. Through lessons and demos, you'll learn how to build and tell compelling stories through video at work. You'll also discover how to seamlessly incorporate media, audio and video clips, customize styles, and easily share your creations.
Some Vids features use generative AI to help you work more efficiently. Remember, generative AI tools including Gemini, may suggest inaccurate or inappropriate information. Don’t rely on Gemini features as medical, legal, financial or other professional advice. It’s also important to remember that the Gemini feature suggestions don’t represent Google’s views, and should not be attributed to Google.
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This course teaches you how to create an image captioning model by using deep learning. You learn about the different components of an image captioning model, such as the encoder and decoder, and how to train and evaluate your model. By the end of this course, you will be able to create your own image captioning models and use them to generate captions for images
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This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model. You learn about the main components of the Transformer architecture, such as the self-attention mechanism, and how it is used to build the BERT model. You also learn about the different tasks that BERT can be used for, such as text classification, question answering, and natural language inference.This course is estimated to take approximately 45 minutes to complete.
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This course gives you a synopsis of the encoder-decoder architecture, which is a powerful and prevalent machine learning architecture for sequence-to-sequence tasks such as machine translation, text summarization, and question answering. You learn about the main components of the encoder-decoder architecture and how to train and serve these models. In the corresponding lab walkthrough, you’ll code in TensorFlow a simple implementation of the encoder-decoder architecture for poetry generation from the beginning.
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This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence. You will learn how attention works, and how it can be used to improve the performance of a variety of machine learning tasks, including machine translation, text summarization, and question answering. This course is estimated to take approximately 45 minutes to complete.
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This course equips machine learning practitioners with the essential tools, techniques, and best practices for evaluating both generative and predictive AI models. Model evaluation is a critical discipline for ensuring that ML systems deliver reliable, accurate, and high-performing results in production.
Participants will gain a deep understanding of various evaluation metrics, methodologies, and their appropriate application across different model types and tasks. The course will emphasize the unique challenges posed by generative AI models and provide strategies for tackling them effectively. By leveraging Google Cloud's Vertex AI platform, participants will learn how to implement robust evaluation processes for model selection, optimization, and continuous monitoring.
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Artificial Intelligence (AI) offers transformative possibilities, but it also introduces new security challenges. This course equips security and data protection leaders with strategies to securely manage AI within their organizations. Learn a framework for proactively identifying and mitigating AI-specific risks, protecting sensitive data, ensuring compliance, and building a resilient AI infrastructure. Pick use cases from four different industries to explore how these strategies apply in real-world scenarios.
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This course is dedicated to equipping you with the knowledge and tools needed to uncover the unique challenges faced by MLOps teams when deploying and managing Generative AI models, and exploring how Vertex AI empowers AI teams to streamline MLOps processes and achieve success in Generative AI projects.
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This course covers the baseline skills needed for the Google Security Operations Platform. The modules will cover specific actions and features that security engineers should become familiar with to start using the toolset.
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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps you secure your cloud environment and resources. You learn how to deploy example workloads into an environment in Google Cloud, identify security misconfigurations with Gemini, and remediate security misconfigurations with Gemini. Using a hands-on lab, you experience how Gemini improves your cloud security posture.
Duet AI was renamed to Gemini, our next-generation model.
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In this course we will introduce you to Google Sheets, Google’s cloud-based spreadsheet software, included with Google Workspace.
With Google Sheets, you can create and edit spreadsheets directly in your web browser—no special software is required.
Multiple people can work simultaneously, you can see people’s changes as they make them, and every change is saved automatically.
You will learn how to open Google Sheets, create a blank spreadsheet, and create a spreadsheet from a template. You will add, import, sort, filter and format your data using Google Sheets and learn how to work across different file types.
Formulas and functions allow you to make quick calculations and better use your data. We will look at creating a basic formula, using functions, and referencing data. You will also learn how to add a chart to your spreadsheet.
Google Sheets spreadsheets are easy to share. We will look at the different ways you can share with others. We will also discuss how to track changes…
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With Google Calendar, you can quickly schedule meetings and events and create tasks, so you always know what’s next. Google Calendar is designed for teams, so it’s easy to share your schedule with others and create multiple calendars that you and your team can use together.
In this course, you’ll learn how to create and manage Google Calendar events. You will learn how to update an existing event, delete and restore events, and search your calendar.
You will understand when to apply different event types such as tasks and appointment schedules.
You will explore the Google Calendar settings that are available for you to customize Google Calendar to suit your way of working.
During the course you will learn how to create additional calendars, share your calendars with others, and access other calendars in your organization.
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This course builds on some of the concepts covered in the earlier Google Sheets course.
In this course, you will learn how to apply and customize themes In Google Sheets, and explore conditional formatting options.
You will learn about some of Google Sheets’ advanced formulas and functions. You will explore how to create formulas using functions, and you will also learn how to reference and validate your data in a Google Sheet.
Spreadsheets can hold millions of numbers, formulas, and text. Making sense of all of that data can be difficult without a summary or visualization. This course explores the data visualization options in Google Sheets, such as charts and pivot tables.
Google Forms are online surveys used to collect data and provide the opportunity for quick data analysis. You will explore how Forms and Sheets work together by connecting collected Form data to a spreadsheet, or by creating a Form from an existing spreadsheet.
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Gmail is Google’s cloud based email service that allows you to access your messages from any computer or device with just a web browser.
In this course, you’ll learn how to compose, send and reply to messages. You will also explore some of the common actions that can be applied to a Gmail message, and learn how to organize your mail using Gmail labels.
You will explore some common Gmail settings and features. For example, you will learn how to manage your own personal contacts and groups, customize your Gmail Inbox to suit your way of working, and create your own email signatures and templates.
Google is famous for search. Gmail also includes powerful search and filtering. You will explore Gmail’s advanced search and learn how to filter messages automatically.
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Complete the introductory Prompt Design in Agent Platform skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Agent Platform. Discover how to craft effective prompts, guide generative AI output, and apply Gemini models to real-world marketing scenarios.
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This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics. Within the last few years, diffusion models became popular in both research and industry. Diffusion models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them on Vertex AI.
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Google Workspace with Gemini provides customers with access to generative AI features. This course delves into the capabilities of Gemini in Google Drive using video lessons, hands-on activities and practical examples. By the end of this course, you'll be equipped with the knowledge and skills to confidently utilize Gemini in Google Drive to improve your workflows.
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Google Workspace with Gemini provides customers with access to generative AI features. This course delves into the capabilities of Gemini in Google Meet. Through video lessons, hands-on activities and practical examples, you will gain a comprehensive understanding of the Gemini features in Google Meet. You learn how to use Gemini to generate background images, improve your video quality, and translate captions. By the end of this course, you'll be equipped with the knowledge and skills to confidently utilize Gemini in Google Meet to maximize the effectiveness of your video conferences.
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Google Workspace with Gemini provides customers with generative AI features in Google Workspace. In this mini-course, you learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Google Sheets.
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Google Workspace with Gemini provides customers with generative AI features in Google Workspace. In this mini-course, you learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Google Slides.
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Google Workspace with Gemini provides customers with access to generative AI features. This course delves into the capabilities of Gemini in Google Docs using video lessons, hands-on activities and practical examples. You learn how to use Gemini to generate written content based on prompts. You also explore using Gemini to edit text you’ve already written, helping you improve your overall productivity. By the end of this course, you'll be equipped with the knowledge and skills to confidently utilize Gemini in Google Docs to improve your writing.
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Google Workspace with Gemini provides customers with generative AI features in Google Workspace. In this mini-course, you learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Gmail.
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Google Workspace with Gemini provides customers with generative AI features in Google Workspace. In this learning path, you learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Google Workspace.
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As the use of enterprise Artificial Intelligence and Machine Learning continues to grow, so too does the importance of building it responsibly. A challenge for many is that talking about responsible AI can be easier than putting it into practice. If you’re interested in learning how to operationalize responsible AI in your organization, this course is for you.
In this course, you will learn how Google Cloud does this today, together with best practices and lessons learned, to serve as a framework for you to build your own responsible AI approach.
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This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products. It also introduces Google's 3 AI principles.
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This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps.
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This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.
Responsible AI for Developers: Fairness & Bias
Earned jan. 26, 2026 EST
Responsible AI for Developers: Privacy & Safety
Earned jan. 26, 2026 EST
Responsible AI for Developers: Interpretability & Transparency
Earned jan. 26, 2026 EST
Introduction to Vertex AI Studio
Earned jan. 12, 2026 EST
Gen AI Agents: Transform Your Organization
Earned jan. 12, 2026 EST
Gen AI Apps: Transform Your Work
Earned jan. 12, 2026 EST
Gen AI: Navigate the Landscape
Earned jan. 12, 2026 EST
Gen AI: Beyond the Chatbot
Earned jan. 12, 2026 EST
Gen AI: Unlock Foundational Concepts
Earned jan. 12, 2026 EST
Develop Gen AI Apps with Gemini and Streamlit
Earned août 16, 2025 EDT
Explore Generative AI in Agent Platform
Earned août 16, 2025 EDT
Inspect Rich Documents with Gemini Multimodality and Multimodal RAG
Earned août 12, 2025 EDT
Build Real World AI Applications with Gemini and Imagen
Earned juil. 18, 2025 EDT
Google Security Operations - Deep Dive
Earned avr. 4, 2025 EDT
Create Engaging Video with Google Vids
Earned jan. 2, 2025 EST
Create Image Captioning Models
Earned déc. 23, 2024 EST
Transformer Models and BERT Model
Earned déc. 22, 2024 EST
Encoder-Decoder Architecture
Earned déc. 22, 2024 EST
Attention Mechanism
Earned déc. 22, 2024 EST
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation
Earned déc. 22, 2024 EST
Introduction to Security in the World of AI
Earned déc. 22, 2024 EST
Machine Learning Operations (MLOps) for Generative AI
Earned déc. 22, 2024 EST
Google Security Operations - Fundamentals
Earned déc. 22, 2024 EST
Gemini for Security Engineers
Earned déc. 18, 2024 EST
Google Sheets
Earned déc. 18, 2024 EST
Google Calendar
Earned déc. 18, 2024 EST
Google Sheets - Advanced Topics
Earned oct. 31, 2024 EDT
Gmail
Earned oct. 31, 2024 EDT
Prompt Design in Agent Platform
Earned oct. 30, 2024 EDT
Introduction to Image Generation
Earned oct. 19, 2024 EDT
Gemini in Google Drive
Earned oct. 17, 2024 EDT
Gemini in Google Meet
Earned oct. 17, 2024 EDT
Gemini in Google Sheets
Earned oct. 17, 2024 EDT
Gemini in Google Slides
Earned oct. 17, 2024 EDT
Gemini in Google Docs
Earned oct. 17, 2024 EDT
Gemini in Gmail
Earned oct. 17, 2024 EDT
Introduction to Google Workspace with Gemini
Earned oct. 17, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned août 29, 2024 EDT
Introduction to Responsible AI
Earned août 16, 2024 EDT
Introduction to Large Language Models
Earned août 16, 2024 EDT
Introduction to Generative AI
Earned août 16, 2024 EDT