Introduction to Google Workspace with Gemini
Earned mars 19, 2026 EDT
Introduction to Gemini Enterprise for Customer Experience and Conversational Agents
Earned nov. 3, 2025 EST
Engineer Effective Prompts for Generative Models
Earned août 23, 2025 EDT
Explore Google's Gen AI Models
Earned août 5, 2025 EDT
Build Real World AI Applications with Gemini and Imagen
Earned juin 26, 2025 EDT
Deploy Google Agentspace
Earned juin 24, 2025 EDT
Vertex AI Search and Gemini Enterprise UI Configurations
Earned juin 16, 2025 EDT
Prompt Design in Vertex AI
Earned juin 12, 2025 EDT
Machine Learning Operations (MLOps) for Generative AI
Earned avr. 13, 2025 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned mars 18, 2025 EDT
Accelerate Knowledge Exchange with Gemini Enterprise
Earned mars 17, 2025 EDT
Build a Certification Study Guide: PMLE
Earned oct. 27, 2024 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned oct. 27, 2024 EDT
Introduction to Responsible AI
Earned août 8, 2024 EDT
Introduction to Large Language Models
Earned août 8, 2024 EDT
Introduction to Generative AI
Earned août 6, 2024 EDT
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.
En savoir plus
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.
En savoir plus
This course explores the different products and capabilities of Gemini Enterprise for Customer Experience and Conversational Agents. Additionally, it covers the foundational principles of conversation design to craft engaging and effective experiences that emulate human-like experiences specific to the Chat channel.
En savoir plus
Learn a variety of strategies and techniques to engineer effective prompts for generative models
En savoir plus
Learn how to leverage Gemini multimodal capabilities to process and generate text, images, and audio and to integrate Gemini through APIs to perform tasks such as content creation and summarization.
En savoir plus
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 Vertex AI platform.
En savoir plus
In this skill badge, you will demonstrate your ability to deploy Google Agentspace and set up data stores and actions. To learn these skills, we encourage you to take the course Accelerate Knowledge Exchange with Agentspace.
En savoir plus
Initial deployment of Vertex AI Search and Gemini Enterprise apps takes only a few clicks, but getting the configurations right can elevate a deployment from a basic off-the-shelf app to an excellent custom search or recommendations experience.
In this course, you'll learn more about the many ways you can customize and improve search, recommendations, and Gemini Enterprise apps.
(Please note Gemini Enterprise was previously named Google Agentspace, there may be references to the previous product name in this course.)
En savoir plus
Complete the introductory Prompt Design in Vertex AI skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Vertex AI. Discover how to craft effective prompts, guide generative AI output, and apply Gemini models to real-world marketing scenarios.
En savoir plus
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.
En savoir plus
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.
En savoir plus
Unite Google’s expertise in search and AI with Gemini Enterprise, a powerful tool designed to help employees find specific information from document storage, email, chats, ticketing systems, and other data sources, all from a single search bar. The Gemini Enterprise assistant can also help brainstorm, research, outline documents, and take actions like inviting coworkers to a calendar event to accelerate knowledge work and collaboration of all kinds.
(Please note Gemini Enterprise was previously named Google Agentspace, there may be references to the previous product name in this course.)
En savoir plus
Learn how to use NotebookLM to create a personalized study guide for the Professional Machine Learning Engineer certification exam (PMLE). You'll review NotebookLM features, create a notebook, and use the study guide to practice for a certification exam.
En savoir plus
This course introduces Google Cloud's AI and machine learning (ML) capabilities, with a focus on developing both generative and predictive AI projects. It explores the various technologies, products, and tools available throughout the data-to-AI lifecycle, empowering data scientists, AI developers, and ML engineers to enhance their expertise through interactive exercises.
En savoir plus
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.
En savoir plus
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.
En savoir plus
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.
Gemini in Gmail
Earned mars 19, 2026 EDT
Introduction to Google Workspace with Gemini
Earned mars 19, 2026 EDT
Introduction to Gemini Enterprise for Customer Experience and Conversational Agents
Earned nov. 3, 2025 EST
Engineer Effective Prompts for Generative Models
Earned août 23, 2025 EDT
Explore Google's Gen AI Models
Earned août 5, 2025 EDT
Build Real World AI Applications with Gemini and Imagen
Earned juin 26, 2025 EDT
Deploy Google Agentspace
Earned juin 24, 2025 EDT
Vertex AI Search and Gemini Enterprise UI Configurations
Earned juin 16, 2025 EDT
Prompt Design in Vertex AI
Earned juin 12, 2025 EDT
Machine Learning Operations (MLOps) for Generative AI
Earned avr. 13, 2025 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned mars 18, 2025 EDT
Accelerate Knowledge Exchange with Gemini Enterprise
Earned mars 17, 2025 EDT
Build a Certification Study Guide: PMLE
Earned oct. 27, 2024 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned oct. 27, 2024 EDT
Introduction to Responsible AI
Earned août 8, 2024 EDT
Introduction to Large Language Models
Earned août 8, 2024 EDT
Introduction to Generative AI
Earned août 6, 2024 EDT