On-demand activities

Find the right on-demand learning activities for you. Labs are short learning activities that teach you a specific lesson by giving you direct, temporary, hands-on access to real cloud resources. Courses are longer activities, consisting of several modules made of videos, documents, hands-on labs and quizzes. Finally, quests are similar, but are usually shorter and contain only labs.

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59 results

  1. Lab Featured

    Introduction to Docker

    In this lab you will familiarize yourself with the basic Docker container environment commands. You will create, run, and debug containers, and learn to pull and push images to and from Google Artifact Registry.

  2. Lab Featured

    Dataplex: Qwik Start - Console

    This lab shows you how to get started with Dataplex in the Google Cloud console by walking you through creating a lake, adding a zone, attaching and detaching assets, and deleting zones and lakes.

  3. Lab Featured

    Looker Studio: Qwik Start

    Data Studio lets you create dynamic, visually compelling reports and dashboards. Watch the short video Data Studio: Qwik Start - Qwiklabs Preview.

  4. Lab Featured

    Prompt Design using PaLM

    This lab focuses on the essentials and best practices of prompt design to help you learn how to design good quality prompts, how to interact with PaLM to get the responses you’re looking for, and how to be aware of hallucinations in responses.

  5. Lab Featured

    Dataprep: Qwik Start

    Google Cloud Dataprep is an intelligent data service for visually exploring, cleaning, and preparing data for analysis. Watch the short video Dataprep: Qwik Start - Qwiklabs Preview.

  6. Lab Featured

    Deploying GKE Autopilot Clusters

    Getting Started with Google Kubernetes Engine: Creating a GKE Autopilot Cluster via Google Cloud Console

  7. Lab Featured

    Loading Your Own Data into BigQuery

    This lab teaches you how to ingest data from a CSV file into tables in BigQuery.

  8. Lab Featured

    Dataflow: Qwik Start - Python

    In this lab, you set up your Python development environment for Dataflow (using the Apache Beam SDK for Python) and run an example Dataflow pipeline.

  9. Lab Featured

    Building Virtual Agent Fulfillment

    In this lab, you will continue working on your Pigeon Travel chat agent and add context as well as setup fulfillment to lookup and store reservations entries in Firestore.

  10. Lab Featured

    Exploring and Creating an Ecommerce Analytics Pipeline with Cloud Dataprep v1.5

    In this lab we will explore the Cloud Dataprep UI to build an ecommerce transformation pipeline that will run at a scheduled interval and output results back into BigQuery.