Level 3: Applied Generative AI
Earned jan. 6, 2026 EST
Develop Serverless Apps with Firebase
Earned déc. 31, 2025 EST
Develop Serverless Applications on Cloud Run
Earned déc. 31, 2025 EST
Streaming Analytics into BigQuery
Earned déc. 31, 2025 EST
Build a Secure Google Cloud Network
Earned déc. 31, 2025 EST
Develop Your Google Cloud Network
Earned déc. 29, 2025 EST
Automate Data Capture at Scale with Document AI
Earned déc. 29, 2025 EST
Store, Process, and Manage Data on Google Cloud - Command Line
Earned déc. 29, 2025 EST
Manage Kubernetes in Google Cloud
Earned déc. 29, 2025 EST
Create a Secure Data Lake on Cloud Storage
Earned déc. 26, 2025 EST
Get Started with Sensitive Data Protection
Earned déc. 26, 2025 EST
Build Serverless Applications with Cloud Run Functions
Earned déc. 25, 2025 EST
Implement CI/CD Pipelines on Google Cloud
Earned déc. 25, 2025 EST
Prepare Data for ML APIs on Google Cloud
Earned juin 4, 2025 EDT
Introduction to Security in the World of AI
Earned mai 28, 2025 EDT
Responsible AI for Developers: Privacy & Safety
Earned mai 28, 2025 EDT
Responsible AI for Developers: Interpretability & Transparency
Earned mai 28, 2025 EDT
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation
Earned mai 28, 2025 EDT
Machine Learning Operations (MLOps) for Generative AI
Earned mai 28, 2025 EDT
Responsible AI for Developers: Fairness & Bias
Earned mai 27, 2025 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned mai 27, 2025 EDT
Set Up an App Dev Environment on Google Cloud
Earned mai 26, 2025 EDT
Google Cloud Fundamentals: Core Infrastructure
Earned mai 21, 2025 EDT
Implementing Cloud Load Balancing for Compute Engine
Earned mai 19, 2025 EDT
Explore Generative AI with the Gemini API in Vertex AI
Earned mai 16, 2025 EDT
Inspect Rich Documents with Gemini Multimodality and Multimodal RAG
Earned mai 16, 2025 EDT
Develop Gen AI Apps with Gemini and Streamlit
Earned mai 15, 2025 EDT
Prompt Design in Vertex AI
Earned mai 14, 2025 EDT
Build Real World AI Applications with Gemini and Imagen
Earned mai 14, 2025 EDT
Generative AI is quickly becoming a core part of modern cloud solutions. In this challenge, you’ll build applications using Gemini on Vertex AI for text embeddings, multimodal content generation, and text-to-image workflows, while also learning how to ingest data into BigQuery from Cloud Storage. You’ll then test your understanding through role-based Arcade quizzes designed for Workspace Administrators, Database Engineers, DevOps Engineers, and Digital Leaders—bringing together hands-on building and practical knowledge validation.
En savoir plus
Complete the intermediate Develop Serverless Apps with Firebase skill badge course to demonstrate skills in the following: architecting and building serverless web applications with Firebase, utilizing Firestore for database management, automating deployment processes using Cloud Build, and integrating Google Assistant functionality into your applications.
En savoir plus
Complete the intermediate Develop Serverless Applications on Cloud Run skill badge course to demonstrate skills in the following: integrating Cloud Run with Cloud Storage for data management, architecting resilient asynchronous systems using Cloud Run and Pub/Sub, constructing REST API gateways powered by Cloud Run, and building and deploying services on Cloud Run.
En savoir plus
Earn a skill badge by completing the Streaming Analytics into BigQuery skill badge course, where you use Pub/Sub, Dataflow and BigQuery together to stream data for analytics.
En savoir plus
Earn a skill badge by completing the Build a Secure Google Cloud Network skill badge course, where you will learn about multiple networking-related resources to build, scale, and secure your applications on Google Cloud.
En savoir plus
Earn a skill badge by completing the Develop your Google Cloud Network skill badge course, where you learn multiple ways to deploy and monitor applications including how to: explore IAM roles and add/remove project access, create VPC networks, deploy and monitor Compute Engine VMs, write SQL queries, deploy and monitor VMs in Compute Engine, and deploy applications using Kubernetes with multiple deployment approaches.
En savoir plus
Earn the introductory skill badge by completing the Automate Data Capture at Scale with Document AI course. In this course, you learn how to extract, process, and capture data using Document AI.
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Cloud Storage, Cloud Functions, and Cloud Pub/Sub are all Google Cloud Platform services that can be used to store, process, and manage data. All three services can be used together to create a variety of data-driven applications. In this skill badge you use Cloud Storage to store images, Cloud Functions to process the images, and Cloud Pub/Sub to send the images to another application.
En savoir plus
Complete the intermediate Manage Kubernetes in Google Cloud skill badge course to demonstrate skills in the following: managing deployments with kubectl, monitoring and debugging applications on Google Kubernetes Engine (GKE), and continuous delivery techniques.
En savoir plus
Complete the introductory Create a Secure Data Lake on Cloud Storage skill badge course to demonstrate skills in the following: securing and configuring a Cloud Storage bucket, using Gemini for text generation, managing IAM access control, and establishing a Dataplex lake for data governance.
En savoir plus
Complete the introductory Get Started with Sensitive Data Protection skill badge course to demonstrate skills in the following: using Sensitive Data Protection services (including the Cloud Data Loss Prevention API) to inspect, redact, and de-identify sensitive data in Google Cloud.
En savoir plus
Earn a Introductory skill badge by completing the Build Serverless Applications with Cloud Run Functions course, where you learn how to use Cloud Run functions through the Google Cloud console and on the command line.
En savoir plus
Earn the intermediate skill badge by completing the Implement CI/CD Pipelines on Google Cloud skill badge course where you learn how to use Artifact Registry, Cloud Build, and Cloud Deploy. You interact with the Google Cloud console, Google Cloud CLI, Cloud Run, and GKE. This course teaches you how to build continuous integration pipelines, store and secure artifacts, scan for vulnerabilities, attest to the validity of approved releases. Additionally, you get hands-on experience deploying applications to both GKE and Cloud Run.
En savoir plus
Complete the introductory Prepare Data for ML APIs on Google Cloud skill badge to demonstrate skills in the following: cleaning data with Dataprep by Trifacta, running data pipelines in Dataflow, creating clusters and running Apache Spark jobs in Dataproc, and calling ML APIs including the Cloud Natural Language API, Google Cloud Speech-to-Text API, and Video Intelligence API.
En savoir plus
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.
En savoir plus
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.
En savoir plus
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 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.
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
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.
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
Earn a skill badge by completing the Set Up an App Dev Environment on Google Cloud skill badge course, where you learn how to build and connect storage-centric cloud infrastructure using the basic capabilities of the following technologies: Cloud Storage, Identity and Access Management, Cloud Functions, and Pub/Sub.
En savoir plus
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.
En savoir plus
Complete the introductory Implementing Cloud Load Balancing for Compute Engine skill badge to demonstrate skills in the following: creating and deploying virtual machines in Compute Engine and configuring network and application load balancers.
En savoir plus
Complete the intermediate Explore Generative AI with the Gemini API in Vertex AI 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.
En savoir plus
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.
En savoir plus
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.
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
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.
Level 3: Applied Generative AI
Earned jan. 6, 2026 EST
Develop Serverless Apps with Firebase
Earned déc. 31, 2025 EST
Develop Serverless Applications on Cloud Run
Earned déc. 31, 2025 EST
Streaming Analytics into BigQuery
Earned déc. 31, 2025 EST
Build a Secure Google Cloud Network
Earned déc. 31, 2025 EST
Develop Your Google Cloud Network
Earned déc. 29, 2025 EST
Automate Data Capture at Scale with Document AI
Earned déc. 29, 2025 EST
Store, Process, and Manage Data on Google Cloud - Command Line
Earned déc. 29, 2025 EST
Manage Kubernetes in Google Cloud
Earned déc. 29, 2025 EST
Create a Secure Data Lake on Cloud Storage
Earned déc. 26, 2025 EST
Get Started with Sensitive Data Protection
Earned déc. 26, 2025 EST
Build Serverless Applications with Cloud Run Functions
Earned déc. 25, 2025 EST
Implement CI/CD Pipelines on Google Cloud
Earned déc. 25, 2025 EST
Prepare Data for ML APIs on Google Cloud
Earned juin 4, 2025 EDT
Introduction to Security in the World of AI
Earned mai 28, 2025 EDT
Responsible AI for Developers: Privacy & Safety
Earned mai 28, 2025 EDT
Responsible AI for Developers: Interpretability & Transparency
Earned mai 28, 2025 EDT
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation
Earned mai 28, 2025 EDT
Machine Learning Operations (MLOps) for Generative AI
Earned mai 28, 2025 EDT
Responsible AI for Developers: Fairness & Bias
Earned mai 27, 2025 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned mai 27, 2025 EDT
Set Up an App Dev Environment on Google Cloud
Earned mai 26, 2025 EDT
Google Cloud Fundamentals: Core Infrastructure
Earned mai 21, 2025 EDT
Implementing Cloud Load Balancing for Compute Engine
Earned mai 19, 2025 EDT
Explore Generative AI with the Gemini API in Vertex AI
Earned mai 16, 2025 EDT
Inspect Rich Documents with Gemini Multimodality and Multimodal RAG
Earned mai 16, 2025 EDT
Develop Gen AI Apps with Gemini and Streamlit
Earned mai 15, 2025 EDT
Prompt Design in Vertex AI
Earned mai 14, 2025 EDT
Build Real World AI Applications with Gemini and Imagen
Earned mai 14, 2025 EDT