341 results

1. Lab Featured

   Build a Chat Application using the PaLM 2 API on Cloud Run

   In this lab, you build and deploy an AI-based chat application on Cloud Run that utilizes the PaLM 2 API's Chat Bison model (text-chat).

2. Lab Featured

   Google Kubernetes Engine Pipeline using Cloud Build

   Create a CI/CD pipeline that automatically builds a container image, stores the image in Artifact Registry, updates a Kubernetes manifest in a Git repository, and deploys the application to Google Kubernetes Engine.

3. Lab Featured

   Google Kubernetes Engine: Qwik Start

   Google Kubernetes Engine provides a managed environment for deploying, managing, and scaling your containerized applications using Google infrastructure. This hands-on lab shows you how deploy a containerized application with Kubernetes Engine.

4. Course Featured

   Develop GenAI Apps with Gemini and Streamlit

   Complete the intermediate Develop GenAI Apps with Gemini and Streamlit skill badge to demonstrate skills in the following: text generation, applying function calls with the Python SDK and the Gemini API, and deploying a Streamlit application with Cloud Run. You will explore different ways to prompt Gemini for text…

5. Course Featured

   Monitor and Log with Google Cloud Observability

   Complete the introductory Monitor and Log with Google Cloud Observability skill badge to demonstrate skills in the following: monitoring virtual machines in Compute Engine, utilizing Cloud Monitoring for multi-project oversight, extending monitoring and logging capabilities to Cloud Functions, creating and sending…

6. Lab Featured

   Awwvision: Cloud Vision API from a Kubernetes Cluster

   This hands-on lab uses Kubernetes and Cloud Vision API to create an example of how to use the Vision API to classify (label) images from Reddit's /r/aww subreddit and display the labelled results in a web app.

7. Lab Featured

   Hosting a Web App on Google Cloud Using Compute Engine - Azure

   In this lab, you will deploy and scale a Web App on Google Compute Engine.

8. Lab Featured

   Managing Deployments Using Kubernetes Engine

   Dev Ops best practices make use of multiple deployments to manage application deployment scenarios. This lab provides practice in scaling and managing containers to accomplish common scenarios where multiple heterogeneous deployments are used.

9. Course Featured

   Getting Started with Google Kubernetes Engine

   Welcome to the Getting Started with Google Kubernetes Engine course. If you're interested in Kubernetes, a software layer that sits between your applications and your hardware infrastructure, then you’re in the right place! Google Kubernetes Engine brings you Kubernetes as a managed service on Google Cloud. Th…

10. Course Featured

    Manage Kubernetes in Google Cloud

    Earn a skill badge by completing the Manage Kubernetes in Google Cloud quest, where you will learn about Google Kubernetes Engine and multiple deployment approaches including how to: configure and build images to run and debug Docker containers, build Kubernetes Engine clusters, and manage them with kubectl, deplo…