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.
-
Lab Featured Monitor Cloud Run with Datadog
In this lab, you will learn how to use Cloud Run with Datadog.
-
Lab Featured Generative AI with Vertex AI: Prompt Design
This lab is part of a series designed to provide hands-on experience with Generative AI on Google Cloud.
-
Lab Featured Creating a Data Transformation Pipeline with Cloud Dataprep
Cloud Dataprep by Alteryx is an intelligent data service for visually exploring, cleaning, and preparing structured and unstructured data for analysis. In this lab, you explore the Dataprep user interface (UI) to build a data transformation pipeline.
-
Lab Featured Creating Tile-based Dashboard Alerts in Looker
In this lab, you learn how to create and modify tile-based dashboard alerts in Looker.
-
Lab Featured Respond and recover from a data breach
Remediate a list of security issues based on a PCI compliance report
-
Lab Featured Build and Configure an Integration using Application Integration
Learn the core concepts, functionalities, and best practices of Application Integration
-
Lab Featured Detect and Investigate Threats with Security Command Center
In this lab, you receive hands-on practice with Security Command Center’s (SCC) threat detection features and learn how to investigate and triage common vulnerabilities associated with containers and virtual machines. You also learn how to surface and manage your findings with SCC’s Event Threat Detection and Secu…
-
Lab Featured Programming Spanner Applications with Python
In this lab, you run the Python code to create Spanner instances and databases. You also see how to create, retrieve, and delete records from databases using both the Google Standard SQL and PostgreSQL dialects.
-
Lab Featured Create Text Embeddings for a Vector Store using LangChain
In this lab, you learn how to use LangChain to store documents as embeddings in a vector store. You will use the LangChain framework to split a set of documents into chunks, vectorize (embed) each chunk and then store the embeddings in a vector database.
-
Lab Featured Build an LLM and RAG-based Chat Application with AlloyDB and Vertex AI
In this lab, you create a chat application that uses Retrieval Augmented Generation, or RAG, to augment prompts with data retrieved from AlloyDB.