Fahad Pasha
Date d'abonnement : 2026
Add Agent Capabilities With Tools
Earned août 17, 2026 EDT
Manage Agent Memory and State
Earned août 14, 2026 EDT
Optimize Agent Behavior
Earned août 14, 2026 EDT
Build Your First Agent with Agent Development Kit (ADK)
Earned août 14, 2026 EDT
Deploy and Scale AI Models with Cloud Run
Earned août 14, 2026 EDT
Configure Gemini Code Assist for Organizations
Earned août 14, 2026 EDT
Introduction to Large Language Models
Earned août 13, 2026 EDT
Introduction to Generative AI
Earned août 13, 2026 EDT
Build a Certification Study Guide: PMLE
Earned août 13, 2026 EDT
AI Infrastructure: Introduction to AI Hypercomputer
Earned juil. 27, 2026 EDT
Introduction to Security in the World of AI
Earned juil. 8, 2026 EDT
Enterprise Agents and Use Cases
Earned juin 30, 2026 EDT
Machine Learning Operations (MLOps): Getting Started
Earned juin 30, 2026 EDT
Customer Experience Agent Studio: Fundamentals
Earned juin 15, 2026 EDT
Build a Certification Study Guide: PCA Exam Prep
Earned juin 10, 2026 EDT
AI Boost Bites: Personalization with customized prompts
Earned juin 10, 2026 EDT
AI Boost Bites: Amplify Exec Voices with AI
Earned juin 10, 2026 EDT
AI Boost Bites: Exec Summaries with Gemini Gems
Earned juin 10, 2026 EDT
AI Boost Bites: TL;DR with Gemini in Docs & Drive
Earned juin 9, 2026 EDT
AI Boost Bites: Gemini Calendar Hacks in Gmail
Earned juin 9, 2026 EDT
AI Boost Bites: Tame Your Inbox with AI
Earned juin 9, 2026 EDT
AI Boost Bites: Prompting like a Pro with Google Workspace
Earned juin 9, 2026 EDT
[DEPRECATED] AI Boost Bites: Intro to NotebookLM
Earned juin 8, 2026 EDT
[DEPRECATED] AI Boost Bites: AI Power-Ups for Google Workspace
Earned juin 8, 2026 EDT
Unlock Insights with Gemini Notebook
Earned juin 5, 2026 EDT
Create Engaging Video with Google Vids
Earned juin 4, 2026 EDT
Gemini in Google Drive
Earned juin 4, 2026 EDT
Gemini in Google Meet
Earned juin 4, 2026 EDT
Gemini in Google Sheets
Earned juin 4, 2026 EDT
Gemini in Google Slides
Earned juin 4, 2026 EDT
Gemini in Google Docs
Earned juin 4, 2026 EDT
Gemini in Gmail
Earned juin 4, 2026 EDT
Google Workspace with Gemini: Foundations of Your AI Workflow
Earned juin 3, 2026 EDT
Gen AI Agents: Transform Your Organization
Earned juin 3, 2026 EDT
Gen AI Apps: Transform Your Work
Earned juin 3, 2026 EDT
Gen AI: Navigate the Landscape
Earned juin 3, 2026 EDT
Gen AI: Unlock Foundational Concepts
Earned juin 3, 2026 EDT
Gen AI: Beyond the Chatbot
Earned juin 3, 2026 EDT
Gemini for end-to-end SDLC
Earned mai 20, 2026 EDT
Gemini for Application Developers
Earned mai 20, 2026 EDT
Machine Learning Operations (MLOps) with Agent Platform: Model Evaluation
Earned mai 14, 2026 EDT
Machine Learning Operations (MLOps) for Generative AI
Earned mai 14, 2026 EDT
Boost Productivity with Gemini in BigQuery
Earned mai 14, 2026 EDT
Work with Gemini Models in BigQuery
Earned mai 13, 2026 EDT
Using BigQuery Machine Learning for Inference
Earned mai 13, 2026 EDT
Gemini for Data Scientists and Analysts
Earned mai 12, 2026 EDT
Introduction to Gemini Enterprise
Earned mai 12, 2026 EDT
You’ve built agents with advanced configuration—now give them real-world capabilities. Equip agents with tools that enable searching the web, executing code, querying databases, and performing custom actions. Transform agents from intelligent responders into capable assistants that take action. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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You've built basic LLM agents that respond to queries—now let's make them stateful. Use session state to build agents that maintain context, remember user preferences, and provide personalized experiences. Transform agents from stateless responders to intelligent assistants.Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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You’ve built your first agent—now it’s time to take it further. In this course, you’ll advance your skills by learning how to turn a basic AI agent into a sophisticated, precise assistant—applying advanced instructions, model selection, planning capabilities, and structured output patterns.
Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
Join the community forum for questions and discussions
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Turn your understanding of agents into practical reality by building, configuring, and running your first AI agent using Google’s Agent Development Kit (ADK).
In this hands-on course, you’ll set up a complete ADK development environment, create agents with both Python code and YAML configuration, and run them through multiple interfaces. You’ll also learn the core parameters that define agent behavior, taking what you learned in course 1 and applying it to working code.
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AI inference is the process of using a trained machine learning model to make predictions on new, unseen data by applying learned patterns. This course is designed for developers, data scientists, and ML engineers interested in quickly deploying AI inference services on Cloud Run. It is useful for those familiar with cloud-based serverless application deployment solutions, but who may not have experience with running AI inference using Google Cloud serverless products.
The course includes examples that deploys a model for AI inference with GPUs and integrates gen AI apps with data storage services.
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This course is designed for Google Cloud developers and DevOps engineers who have basic knowledge of the Google Cloud console and are responsible for configuring Gemini Code Assist for an organization. The course introduces the benefits of Gemini Code Assist and compares the features of the different Gemini Code Assist editions. The course also shows you how to configure and manage Gemini Code Assist within an organization.
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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. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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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.
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Learn how to use Gemini Notebook to create a personalized study guide for the Professional Machine Learning Engineer (PMLE) certification exam. You'll review Gemini Notebook features, create a notebook, and use the study guide to practice for a certification exam.
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Ready to get started with AI Hypercomputer? This course makes it easy! We'll cover the basics of what they are and how they help AI with AI workloads. You'll learn about the different components inside a hypercomputer, like GPUs, TPUs, and CPUs, and discover how to pick the right deployment approach for your needs.
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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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Discover how AI agents drive business impact. You’ll map agent types to your KPIs and explore use cases that solve real bottlenecks. Then, learn how Gemini Enterprise empowers you to build and orchestrate the right agents—from no-code to high-code solutions. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Machine Learning Engineering professionals use tools for continuous improvement and evaluation of deployed models. They work with (or can be) Data Scientists, who develop models, to enable velocity and rigor in deploying the best performing models.
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This course aims to equip conversational designers and builders with the concepts and practical skills to design, build, and test sophisticated, multi-agent, and multimodal Customer Experience agents using Customer Experience Agent Studio (CX Agent Studio).
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Learn how to use Gemini Notebook to create a personalized study guide for the Professional Cloud Architect certification exam.
You'll review Gemini Notebook features, create a notebook in Gemini Notebook, and learn how to use a study guide to practice for a certification exam.
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This video covers how to personalize your Gemini results in Google
Workspace. Learn to incorporate documents and research papers directly
into your prompts using the "@" symbol to get more targeted and relevant
AI output tailored to your needs.
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This video will cover how to leverage Gemini Gems to create authentic
social media posts in your leader's unique voice. Learn to overcome the
challenge of scaling executive social presence by training a Gem with
writing samples and clear instructions. Discover how to generate engaging
posts quickly, saving time while amplifying thought leadership and
ensuring authenticity.
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This video covers how you can create your own Brevity Gem to summarize and transform messy notes or long documents into clear, concise, executive-ready summaries.
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This video covers how you can use Gemini to summarize long documents in Google Workspace, so you can quickly get the information you need and save time. You'll learn how to use Gemini to summarize entire documents or just selected text, as well as how to use Gemini in Drive to summarize across multiple files.
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In this video, you'll learn to use Gemini in Google Workspace to manage your calendar from your Gmail inbox. You'll learn how to ask Gemini about your schedule in the side panel and how to create new events without switching apps. You'll also learn how to use Gemini's one-click scheduling feature when it automatically detects event details in an email.
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This video covers how to use Gemini in Gmail to summarize emails, find information, and draft replies, helping you manage your inbox more efficiently.
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This video covers prompt engineering fundamentals for effective AI communication. Learn a simple framework (Persona, Task, Context, Format) to craft clear prompts, getting better, faster results from Gemini in Google Workspace. Discover how to use natural language, be specific, and iterate for optimal AI assistance.
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This video covers how to use NotebookLM as a personal research
assistant by adding sources, asking questions, and generating new content
formats based on your documents.
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This video covers five key ways to use Google's AI tools, including Gemini in Workspace, the Gemini app, and NotebookLM, to enhance your daily productivity.
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In this course, you will learn how to centralize diverse sources like PDFs, web pages, and even audio files into a single, intelligent workspace. You will learn to chat with your documents to find specific information, generate instant summaries, and verify answers with AI-powered citations.
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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 covers how to use Gemini in Google Drive to manage and retrieve files. Learn to locate assets using natural language, extract specific facts via AI Overviews without opening files, instantly summarize multiple media formats, and save file collections as Projects for repeatable research. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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This course covers how to use Gemini in Google Meet to enhance video collaboration. Learn to automate note-taking, utilize real-time text and speech translation, privately catch up on missed discussions, and instantly optimize your audio and video quality. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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This course covers how to use Gemini in Google Sheets to automate data organization and crunch complex numbers. Learn to structure tables from raw text, auto-populate data using natural language, generate native spreadsheet formulas on demand, and rapidly extract high-level insights or visualizations without needing advanced spreadsheet expertise. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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This course covers how to use Gemini in Google Slides to transform concepts into visually compelling presentations. Learn to generate structured decks from a single prompt or existing source document, refine slide layouts using automated design enhancement, create custom vector graphics and photos, and dynamically craft on-slide copy alongside precise speaker notes.
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This course covers how to use Gemini in Google Docs to streamline your writing and content creation. Learn to draft documents from scratch, refine writing tone and clarity with interactive tools, summarize complex files, and seamlessly transform long-form text into structured assets for other Google Workspace applications. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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This course covers how to use Gemini in Gmail to optimize your email management. Learn to summarize lengthy threads, retrieve information using natural language, draft professional responses, and organize communication strategies directly inside your inbox. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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Gemini for Google Workspace 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. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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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. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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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 Gemini Notebook. 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 is 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: 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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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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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps you use Google products and services to develop, test, deploy, and manage applications. With help from Gemini, you learn how to develop and build a web application, fix errors in the application, develop tests, and query data. Using a hands-on lab, you experience how Gemini improves the software development lifecycle (SDLC).
Duet AI was renamed to Gemini, our next-generation model.
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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps developers build applications. You learn how to prompt Gemini to explain code, recommend Google Cloud services, and generate code for your applications. Using a hands-on lab, you experience how Gemini improves the application development workflow.
Duet AI was renamed to Gemini, our next-generation model.
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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 Agent Platform, participants will learn how to implement robust evaluation processes for model selection, optimization, and continuous monitoring.
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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 Gemini Enterprise Agent Platform empowers AI teams to streamline MLOps processes and achieve success in Generative AI projects.
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This course explores Gemini in BigQuery, a suite of AI-driven features to assist data-to-AI workflow. These features include data exploration and preparation, code generation and troubleshooting, and workflow discovery and visualization. Through conceptual explanations, a practical use case, and hands-on labs, the course empowers data practitioners to boost their productivity and expedite the development pipeline.
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This course demonstrates how to use AI/ML models for generative AI tasks in BigQuery. Through a practical use case involving customer relationship management, you learn the workflow of solving a business problem with Gemini models. To facilitate comprehension, the course also provides step-by-step guidance through coding solutions using both SQL queries and Python notebooks.
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Learn about BigQuery ML for Inference, why Data Analysts should use it, its use cases, and supported ML models. You will also learn how to create and manage these ML models in BigQuery.
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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps analyze customer data and predict product sales. You also learn how to identify, categorize, and develop new customers using customer data in BigQuery. Using hands-on labs, you experience how Gemini improves data analysis and machine learning workflows.
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This course introduces Gemini Enteprise, a powerful platform that brings together AI agents, enterprise search, Gemini Notebook, and intelligent data access to solve organizational challenges. Through real-world examples and hands-on exploration, learners will be able to connect Gemini Enterprise capabilities to real business needs, describe its architecture, and explain how it handles data access and privacy across roles. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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