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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112 results

  1. Lab Featured

    Vertex AI Workbench Notebook: Qwik Start

    In this lab you train and deploy a TensorFlow model to Vertex AI for serving (prediction). Watch these short videos Getting started with Notebooks for machine learning and Faster model training and experimentation with Vertex AI.

  2. Lab Featured

    Getting Started with BigQuery ML

    In this lab, you learn how to use BigQuery to create a machine learning model that predicts whether a visitor will make a transaction.

  3. Lab Featured

    Create ML Models with BigQuery ML: Challenge Lab

    This challenge lab tests your skills in developing and using machine learning models using BigQuery.

  4. Course Featured

    Introduction to Generative AI

    This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.

  5. Lab Featured

    Classify Images of Clouds in the Cloud with AutoML Images

    AutoML Images helps developers with limited ML expertise train high quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).

  6. Lab Featured

    Creating a Virtual Machine

    In this hands-on lab, you’ll learn how to create a Google Compute Engine virtual machine and understand zones, regions, and machine types. To preview, watch the short video Create a Virtual Machine, GCP Essentials.

  7. Lab Featured

    TensorFlow: Qwik Start

    In this lab, you learn the basic ‘Hello World' of machine learning. Instead of programming explicit rules in a language such as Java or C++, you build a system that is trained on data to infer the rules that determine a relationship between numbers.

  8. Course Featured

    Intermediate ML: TensorFlow on Google Cloud

    TensorFlow is an open source software library for high performance numerical computation that's great for writing models that can train and run on platforms ranging from your laptop to a fleet of servers in the Cloud to an edge device. This quest takes you beyond the basics of using predefined models and teaches y…

  9. Lab Featured

    Google Cloud Speech-to-Text API: Qwik Start

    The Google Cloud Speech-to-Text API integrates speech recognition into dev apps; you can now send audio and receive a text transcription. Watch these short videos Powerful Speech Recognition Using Google Machine Learning and Google Cloud Speech: Qwik Start - Qwiklabs Preview

  10. Lab Featured

    Predict Taxi Fare with a BigQuery ML Forecasting Model

    In this lab, you explore millions of New York City yellow taxi cab trips available in a BigQuery Public Dataset, create a machine learning model inside of BigQuery to predict the fare, and evaluate the performance of your model to make predictions.