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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1191 results
  1. Lab Featured

    Contact Center AI Insights

    CCAI Insights provides contact center interaction data to answer business questions or support decisions to drive efficiency. It uses Google ML and Large Language Models to turn contact center data to insights to action. Based on the outcomes of the insights module various actions can be taken by contact center ma…

  2. Lab Featured

    Migrating Data to and from Spanner with Dataflow

    In this lab, you use Dataflow and Apache Beam to migrate data into Spanner.

  3. Lab Featured

    Introduction to Migration Center Servers Assessments

    Learn how to assess a customer's existing environment, and import data collected from Azure/AWS infrastructure. Generate inventory, performance, network dependencies and financial reports such as TCO (total cost analysis) and DPR (detailed pricing) reports.

  4. Lab Featured

    End to End Baseline Chat Summarization

    In this lab, you build a end to end Baseline Chat Summarisation pipeline.

  5. Lab Featured

    Serverless Data Processing with Dataflow - Writing an ETL Pipeline using Apache Beam and Dataflow (Python)

    In this lab, you a) build a batch ETL pipeline in Apache Beam, which takes raw data from Google Cloud Storage and writes it to BigQuery b) run the Apache Beam pipeline on Dataflow and c) parameterize the execution of the pipeline.

  6. Lab Featured

    Building and Debugging Cloud Functions for Node.js

    In this lab, you will create a Cloud Function for Node.js that reports whether a specified temperature is acceptable or too hot. You will create, test, and debug your Cloud Function using Visual Studio Code on your local machine. Lastly, you'll deploy your function to Google Cloud Platform.

  7. Lab Featured

    Build Apps with Gemini Code Assist

    In this lab, you'll develop an app using assistance from Gemini within an IDE.

  8. Lab Featured

    Route Datadog Monitoring Alerts to Google Cloud with Eventarc

    In this lab, you will learn how to use the Datadog Monitoring with Google Eventarc.

  9. Lab Featured

    Supervised Fine Tuning with Gemini for Question & Answering

    In this lab, you will utilize fine-tuning with Gemini using the Vertex AI Supervised Tuning feature. Supervised Tuning allows you to use your training data to refine the base model's capabilities toward specific tasks.

  10. Lab Featured

    Cisco: SD-WAN Cloud Hub with Google Cloud

    In this hands-on lab, you will learn how to leverage Google Service Directory and Cisco SD-WAN to optimize the performance of a video streaming application.