Manage Agent Memory and State
Earned Mar 19, 2026 EDT
Add Agent Capabilities With Tools
Earned Mar 12, 2026 EDT
Engineer AI Agents with Agent Development Kit (ADK)
Earned Mar 12, 2026 EDT
Build Agents with Agent Development Kit (ADK)
Earned Mar 12, 2026 EDT
Optimize Agent Behavior
Earned Mar 12, 2026 EDT
Build Your First Agent with Agent Development Kit (ADK)
Earned Mar 12, 2026 EDT
Agent Fundamentals
Earned Mar 12, 2026 EDT
Create ML Models with BigQuery ML
Earned Mar 12, 2026 EDT
Boost Productivity with Gemini in BigQuery
Earned Mar 11, 2026 EDT
Work with Gemini Models in BigQuery
Earned Mar 10, 2026 EDT
Using BigQuery Machine Learning for Inference
Earned Mar 9, 2026 EDT
Gemini for Data Scientists and Analysts
Earned Mar 5, 2026 EST
Develop Gen AI Apps with Gemini and Streamlit
Earned Mar 5, 2026 EST
Build a Smart Cloud Application with Vibe Coding and MCP
Earned Mar 4, 2026 EST
Deploy and Scale AI Models with Cloud Run
Earned Mar 3, 2026 EST
Configure Gemini Code Assist for Organizations
Earned Mar 3, 2026 EST
Streamline App Development with Gemini Code Assist
Earned Mar 2, 2026 EST
Build AI Agents with Agent Platform and Flutter
Earned Mar 2, 2026 EST
Website Modernization with Generative AI on Google Cloud
Earned Mar 2, 2026 EST
Create Generative AI Apps on Google Cloud
Earned Mar 2, 2026 EST
Gemini for end-to-end SDLC
Earned Şub 26, 2026 EST
Gemini for Application Developers
Earned Şub 26, 2026 EST
Accelerate App Development with Gemini CLI
Earned Şub 24, 2026 EST
AI Boost Bites: NotebookLM for Market Research
Earned Şub 20, 2026 EST
AI Boost Bites: NotebookLM Video Overviews
Earned Şub 20, 2026 EST
AI Boost Bites: Discover Sources in NotebookLM
Earned Şub 20, 2026 EST
AI Boost Bites: NotebookLM Mind Maps
Earned Şub 20, 2026 EST
AI Boost Bites: Intro to NotebookLM
Earned Şub 20, 2026 EST
AI Boost Bites: Email Content Creation
Earned Şub 20, 2026 EST
AI Boost Bites: Create Docs in Seconds
Earned Şub 20, 2026 EST
AI Boost Bites: AI Power-Ups for Google Workspace
Earned Şub 20, 2026 EST
AI Boost Bites: Tame Your Inbox with AI
Earned Şub 20, 2026 EST
AI Boost Bites: Gemini Slide Summaries
Earned Şub 20, 2026 EST
AI Boost Bites: No-Code Sheets & Scripts
Earned Şub 20, 2026 EST
AI Boost Bites: Amplify Exec Voices with AI
Earned Şub 20, 2026 EST
AI Boost Bites: Exec Summaries with Gemini Gems
Earned Şub 20, 2026 EST
AI Boost Bites: Automate tasks with Gemini and Apps Script
Earned Şub 20, 2026 EST
AI Boost Bites: "Eat the Frog" with NotebookLM
Earned Şub 20, 2026 EST
AI Boost Bites: Gemini Image-to-Sheets Hack
Earned Şub 20, 2026 EST
AI Boost Bites: Poke Holes in Your Strategy
Earned Şub 20, 2026 EST
AI Boost Bites: NotebookLM for Competitive Edge
Earned Şub 20, 2026 EST
AI Boost Bites: Personalization with customized prompts
Earned Şub 20, 2026 EST
AI Boost Bites: TL;DR with Gemini in Docs & Drive
Earned Şub 20, 2026 EST
AI Boost Bites: Prompting like a Pro with Google Workspace
Earned Şub 16, 2026 EST
AI Boost Bites: Content Generation with Gemini Made Easy
Earned Şub 16, 2026 EST
AI Boost Bites: Customer insights with NotebookLM
Earned Şub 16, 2026 EST
AI Boost Bites: Gemini Gems – Your ultimate marketing sidekick
Earned Şub 16, 2026 EST
Kickstarting Application Development with Gemini Code Assist
Earned Şub 12, 2026 EST
Observability in Google Cloud
Earned Şub 12, 2026 EST
Logging and Monitoring in Google Cloud
Earned Ara 16, 2025 EST
Cloud Architecture: Design, Implement, and Manage
Earned Ara 16, 2025 EST
Set Up a Google Cloud Network
Earned Ara 12, 2025 EST
Google Cloud Ağınızı Geliştirme
Earned Ara 5, 2025 EST
Optimize Costs for Google Kubernetes Engine
Earned Kas 27, 2025 EST
Build Infrastructure with Terraform on Google Cloud
Earned Kas 25, 2025 EST
Essential Google Cloud Infrastructure: Foundation
Earned Kas 18, 2025 EST
Google Cloud'da Uygulama Geliştirme Ortamı Oluşturma
Earned Kas 13, 2025 EST
Google Cloud Fundamentals: Core Infrastructure
Earned Kas 12, 2025 EST
Compute Engine İçin Cloud Load Balancing'i Uygulama
Earned Kas 5, 2025 EST
Bu kursta nöral ağların, giriş sırasının belirli bölümlerine odaklanmasına olanak tanıyan güçlü bir teknik olan dikkat mekanizması tanıtılmaktadır. Kursta, dikkat mekanizmasının çalışma şeklini ve makine öğrenimi, metin özetleme ve soru yanıtlama gibi çeşitli makine öğrenimi görevlerinin performansını artırmak için nasıl kullanılabileceğini öğreneceksiniz.
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Bu kursta, görüntü üretme alanında gelecek vadeden bir makine öğrenimi modelleri ailesi olan "difüzyon modelleri" tanıtılmaktadır. Difüzyon modelleri fizikten, özellikle de termodinamikten ilham alır. Geçtiğimiz birkaç yıl içinde, gerek araştırma gerekse endüstri alanında difüzyon modelleri popülerlik kazandı. Google Cloud'daki son teknoloji görüntü üretme model ve araçlarının çoğu, difüzyon modelleri ile desteklenmektedir. Bu kursta, difüzyon modellerinin ardındaki teori tanıtılmakta ve bu modellerin Vertex AI'da nasıl eğitilip dağıtılacağı açıklanmaktadır.
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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.
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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.
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Complete the intermediate Engineer AI Agents with Agent Development Kit (ADK) skill badge by completing this course to demonstrate skills in the following: formulating real-world language model research problems; building a simple tokenizer; preparing a dataset for training a transformer language model; running the training loop of a small language model.
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Learn about how you can use Agent Development Kit (ADK) to build complex, production-ready AI agents. This course covers ADK’s open-source framework, moving from simple prompt engineering to a code-first, structured software development approach suitable for enterprise-grade, multi-agent systems. 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.
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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This course introduces the fundamentals of AI agents and explores where agents add value in the real world. It provides a foundation for developers, architects, and technical decision-makers who want to understand AI systems through the lens of autonomous, goal-directed behavior.
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Complete the intermediate Create ML Models with BigQuery ML skill badge to demonstrate skills in creating and evaluating machine learning models with BigQuery ML to make data predictions.
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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.
Duet AI was renamed to Gemini, our next-generation model.
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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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Earn a skill badge by completing the Build a Smart Cloud Application with Vibe Coding and MCP course, where you will learn to leverage the power of Google's AI coding assistant and MCP servers
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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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Designed for developers of all levels, this course introduces you to the core features and functionalities of Gemini Code Assist, an AI-powered app development collaborator for Google Cloud. From intelligent code suggestions and auto-completion to real-time error detection and refactoring assistance, you'll discover how Gemini Code Assist can significantly enhance your productivity and code quality, and save valuable time to focus on more productive and enjoyable tasks.
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This course provides a foundational understanding of Gemini models and their application in generative AI solutions. You will explore the tools available on the Gemini Enterprise Agent Platform to build search and reasoning capabilities for your apps.
You will also work with Flutter, Google's UI framework used to build applications for multiple platforms from a single codebase.
Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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Enhance the navigation experience of your website by using generative AI (gen AI) to provide a better search experience for your users.
In this course, you'll learn how to use Agent Search on Gemini Enterprise Agent Platform to provide your website users a generative search experience, enabling them to discover content offered by the website. As a website editor, you also learn how to use gen AI to quickly and efficiently translate and improve the content using suggestions. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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Generative AI applications can create new user experiences that were nearly impossible before the invention of large language models (LLMs). As an application developer, how can you use generative AI to build engaging, powerful apps on Google Cloud?
In this course, you'll learn about generative AI applications and how you can use prompt design and retrieval augmented generation (RAG) to build powerful applications using LLMs. You'll learn about a production-ready architecture that can be used for generative AI applications and you'll build an LLM and RAG-based chat application. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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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.
Learn more
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.
Learn more
This course is designed for app developers and DevOps engineers who want to work smarter by using Gemini CLI, a generative AI agent made for the terminal and powered by Gemini.
This course discusses Gemini CLI installation and configuration, and introduces use cases and security best practices. It explains commands, tools, MCP servers, and extensions. With a hands-on exercise, you'll install and configure Gemini CLI and use it to analyze code and build and modify an app.
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This video covers how to use NotebookLM for common marketing tasks like
analyzing customer feedback, conducting market research, and generating
content ideas.
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This video covers how to use the Video Overviews feature in NotebookLM to automatically generate a short explainer video based on your source documents.
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This video covers how to use the 'Discover Sources' feature in NotebookLM to find and import relevant web-based sources directly into your research project.
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This video covers how to use the Mind Maps feature in NotebookLM to automatically create a visual representation of your sources, helping you understand connections and key concepts.
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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.
Learn more
This video covers how to use Gemini in Gmail to draft new emails,
refine their tone, respond with context from Drive files, and use smart
reply suggestions.
Learn more
This video covers how to use the 'Help me create' feature in Google Docs to generate a complete, formatted document by referencing content from other files in your Drive.
Learn more
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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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 how to use Gemini in Slides to automatically generate
meeting recaps and draft follow-up emails, which can streamline your
post-meeting workflow and save you time.
Learn more
This video covers how you can leverage Gemini's advanced AI capabilities within Google Sheets to effortlessly pull data and generate insights in minutes, all without the need for any technical or coding background.
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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 to use Gemini and Apps Script to automate manual tasks across Google Workspace. You'll learn to prompt Gemini to generate Apps Script code that automatically drafts email reminders in Google Sheets for tasks not marked 'Complete.' Automate your workflow with little to no technical expertise, freeing up time for more important work and eliminating manual follow-ups.
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This video covers how you can leverage Notebook LM to "eat the frog" on your to-do list by automating complex tasks like summarizing legislation and mapping services, saving you hours of work.
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This video covers how to eliminate tedious manual data entry using Gemini. Learn how to take a picture or screenshot of data (from PDFs, paper, or images) and prompt Gemini to instantly convert it into a structured Google Sheet. Discover this simple hack to save countless hours transcribing data, turning Gemini into your personal data entry assistant. Just snap, prompt, and export!
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AI Boost Bites is a video series designed to help you leverage Google's AI tools in your daily work. Each episode, under 10 minutes, features a quick video demonstrating a real-world AI use case or topic. After the video, you'll get a challenge to apply what you've learned. It's an easy, interactive way to boost your AI skills and improve your productivity.
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This video will cover how to use NotebookLM to gather and analyze
publicly available information, combine it with internal documents, and
extract key competitive insights.
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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.
Learn more
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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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 will cover how you can leverage Gemini's advanced AI capabilities in Google Docs to brainstorm ideas, draft various marketing content, and collaborate with your team.
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This video covers how NotebookLM can revolutionize customer insight gathering from call or chat transcripts. You'll learn to upload PDF transcripts of hundreds of conversations (even multilingual ones!) and quickly extract key themes, trending topics, and actionable insights without listening for hours. Discover how to save findings, share notebooks, and even generate interactive podcast summaries of your data.
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This video covers how to create your own Gemini Gems, advanced AI capabilities that can automate repetitive tasks and supercharge your productivity.
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Earn a skill badge by completing the Kickstarting Application Development with Gemini Code Assist course, where you will learn to leverage the power of Google's AI coding assistant and multiple development tech
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Welcome to Observability in Google Cloud, the second part of a two-part course series. It is suggested that you complete part 1, Logging and Monitoring in Google Cloud, prior to taking this course.
This course is all about application performance management tools, including Error Reporting, Cloud Trace, and Cloud Profiler.
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Welcome to the two-part course on Logging, Monitoring, and Observability in Google Cloud. The core operations tools in Google Cloud break down into two major categories. The operations-focused components and the application performance management tools. This course, Logging and Monitoring in Google Cloud, covers the operations-focused components including Logging, Monitoring, and Service Monitoring. After taking this course, it is suggested that you complete part 2, Observability in Google Cloud, to learn about the available application performance management tools.
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Earn a skill badge by completing the Cloud Architecture: Design, Implement, and Manage to demonstrate skills in the following: deploy a publicly accessible website using Apache web servers, configure a Compute Engine VM using startup scripts, configure secure RDP using a Windows Bastion host and firewall rules, build and deploy a Docker image to a Kubernetes cluster and then update it, and create a CloudSQL instance and import a MySQL database. This skill badge is a great resource for understanding topics that will appear in the Google Cloud Certified Professional Cloud Architect certification exam.
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Earn a skill badge by completing the Set Up a Google Cloud Network skill badge course, where you will learn how to perform basic networking tasks on Google Cloud Platform - create a custom network, add subnets firewall rules, then create VMs and test the latency when they communicate with each other.
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Google Cloud Ağınızı Geliştirme kursunu tamamlayarak bir beceri rozeti kazanın. IAM rollerini keşfetme ve proje erişimi ekleme/kaldırma, VPC ağları oluşturma, Compute Engine sanal makinelerini dağıtma ve izleme, SQL sorguları yazma ve çeşitli dağıtım yaklaşımlarıyla Kubernetes'i kullanarak uygulama dağıtma gibi uygulamaları dağıtıp izlemeyle ilgili birden çok yöntemi öğreneceksiniz.
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Complete the intermediate Optimize Costs for Google Kubernetes Engine skill badge course to demonstrate skills in the following: creating and managing multi-tenant clusters, monitoring resource usage by namespace, configuring cluster and pod autoscaling for efficiency, setting up load balancing for optimal resource distribution, and implementing liveness and readiness probes to ensure application health and cost-effectiveness.
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Complete the intermediate Build Infrastructure with Terraform on Google Cloud skill badge to demonstrate skills in the following: Infrastructure as Code (IaC) principles using Terraform, provisioning and managing Google Cloud resources with Terraform configurations, effective state management (local and remote), and modularizing Terraform code for reusability and organization.
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This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, virtual machines and applications services. You will learn how to use the Google Cloud through the console and Cloud Shell. You'll also learn about the role of a cloud architect, approaches to infrastructure design, and virtual networking configuration with Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, and Firewall rules.
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Google Cloud'da Uygulama Geliştirme Ortamı Oluşturma kursunu tamamlayarak beceri rozeti kazanın. Bu kursta Cloud Storage, Identity and Access Management, Cloud Functions ve Pub/Sub gibi teknolojilerin temel özelliklerini kullanarak depolama odaklı bulut altyapısı oluşturma ve bu altyapıyla bağlantı kurmayı öğreneceksiniz.
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Google Cloud Fundamentals: Core Infrastructure introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.
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Giriş düzeyindeki Compute Engine İçin Cloud Load Balancing'i Uygulama beceri rozetini tamamlayarak şu konulardaki becerilerinizi gösterin: Compute Engine'de sanal makineler oluşturma ve dağıtma. Ağ ve uygulama yük dengeleyicileri yapılandırma.
Dikkat Mekanizması
Earned Nis 3, 2026 EDT
Görüntü Üretmeye Giriş
Earned Nis 3, 2026 EDT
Manage Agent Memory and State
Earned Mar 19, 2026 EDT
Add Agent Capabilities With Tools
Earned Mar 12, 2026 EDT
Engineer AI Agents with Agent Development Kit (ADK)
Earned Mar 12, 2026 EDT
Build Agents with Agent Development Kit (ADK)
Earned Mar 12, 2026 EDT
Optimize Agent Behavior
Earned Mar 12, 2026 EDT
Build Your First Agent with Agent Development Kit (ADK)
Earned Mar 12, 2026 EDT
Agent Fundamentals
Earned Mar 12, 2026 EDT
Create ML Models with BigQuery ML
Earned Mar 12, 2026 EDT
Boost Productivity with Gemini in BigQuery
Earned Mar 11, 2026 EDT
Work with Gemini Models in BigQuery
Earned Mar 10, 2026 EDT
Using BigQuery Machine Learning for Inference
Earned Mar 9, 2026 EDT
Gemini for Data Scientists and Analysts
Earned Mar 5, 2026 EST
Develop Gen AI Apps with Gemini and Streamlit
Earned Mar 5, 2026 EST
Build a Smart Cloud Application with Vibe Coding and MCP
Earned Mar 4, 2026 EST
Deploy and Scale AI Models with Cloud Run
Earned Mar 3, 2026 EST
Configure Gemini Code Assist for Organizations
Earned Mar 3, 2026 EST
Streamline App Development with Gemini Code Assist
Earned Mar 2, 2026 EST
Build AI Agents with Agent Platform and Flutter
Earned Mar 2, 2026 EST
Website Modernization with Generative AI on Google Cloud
Earned Mar 2, 2026 EST
Create Generative AI Apps on Google Cloud
Earned Mar 2, 2026 EST
Gemini for end-to-end SDLC
Earned Şub 26, 2026 EST
Gemini for Application Developers
Earned Şub 26, 2026 EST
Accelerate App Development with Gemini CLI
Earned Şub 24, 2026 EST
AI Boost Bites: NotebookLM for Market Research
Earned Şub 20, 2026 EST
AI Boost Bites: NotebookLM Video Overviews
Earned Şub 20, 2026 EST
AI Boost Bites: Discover Sources in NotebookLM
Earned Şub 20, 2026 EST
AI Boost Bites: NotebookLM Mind Maps
Earned Şub 20, 2026 EST
AI Boost Bites: Intro to NotebookLM
Earned Şub 20, 2026 EST
AI Boost Bites: Email Content Creation
Earned Şub 20, 2026 EST
AI Boost Bites: Create Docs in Seconds
Earned Şub 20, 2026 EST
AI Boost Bites: AI Power-Ups for Google Workspace
Earned Şub 20, 2026 EST
AI Boost Bites: Tame Your Inbox with AI
Earned Şub 20, 2026 EST
AI Boost Bites: Gemini Slide Summaries
Earned Şub 20, 2026 EST
AI Boost Bites: No-Code Sheets & Scripts
Earned Şub 20, 2026 EST
AI Boost Bites: Amplify Exec Voices with AI
Earned Şub 20, 2026 EST
AI Boost Bites: Exec Summaries with Gemini Gems
Earned Şub 20, 2026 EST
AI Boost Bites: Automate tasks with Gemini and Apps Script
Earned Şub 20, 2026 EST
AI Boost Bites: "Eat the Frog" with NotebookLM
Earned Şub 20, 2026 EST
AI Boost Bites: Gemini Image-to-Sheets Hack
Earned Şub 20, 2026 EST
AI Boost Bites: Poke Holes in Your Strategy
Earned Şub 20, 2026 EST
AI Boost Bites: NotebookLM for Competitive Edge
Earned Şub 20, 2026 EST
AI Boost Bites: Personalization with customized prompts
Earned Şub 20, 2026 EST
AI Boost Bites: TL;DR with Gemini in Docs & Drive
Earned Şub 20, 2026 EST
AI Boost Bites: Prompting like a Pro with Google Workspace
Earned Şub 16, 2026 EST
AI Boost Bites: Content Generation with Gemini Made Easy
Earned Şub 16, 2026 EST
AI Boost Bites: Customer insights with NotebookLM
Earned Şub 16, 2026 EST
AI Boost Bites: Gemini Gems – Your ultimate marketing sidekick
Earned Şub 16, 2026 EST
Kickstarting Application Development with Gemini Code Assist
Earned Şub 12, 2026 EST
Observability in Google Cloud
Earned Şub 12, 2026 EST
Logging and Monitoring in Google Cloud
Earned Ara 16, 2025 EST
Cloud Architecture: Design, Implement, and Manage
Earned Ara 16, 2025 EST
Set Up a Google Cloud Network
Earned Ara 12, 2025 EST
Google Cloud Ağınızı Geliştirme
Earned Ara 5, 2025 EST
Optimize Costs for Google Kubernetes Engine
Earned Kas 27, 2025 EST
Build Infrastructure with Terraform on Google Cloud
Earned Kas 25, 2025 EST
Essential Google Cloud Infrastructure: Foundation
Earned Kas 18, 2025 EST
Google Cloud'da Uygulama Geliştirme Ortamı Oluşturma
Earned Kas 13, 2025 EST
Google Cloud Fundamentals: Core Infrastructure
Earned Kas 12, 2025 EST
Compute Engine İçin Cloud Load Balancing'i Uygulama
Earned Kas 5, 2025 EST