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.
36 results
-
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.
-
Course Featured Introduction to Data Analytics in Google Cloud
This is the first of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll define the field of cloud data analysis and describe roles and responsibilities of a cloud data analyst as they relate to data acquisition, storage, processing, and visualization. You’ll explore the architectur…
-
Course Featured Introduction to Security Principles in Cloud Computing
This is the first of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore the essentials of cybersecurity, including the security lifecycle, digital transformation, and key cloud computing concepts. You’ll identify common tools used by entry-level cloud security analysts to au…
-
Course Featured Introduction to Large Language Models
This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps.
-
Course Featured Introduction to Responsible AI
This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products. It also introduces Google's 7 AI principles.
-
Lab Featured Introduction to Migration Center Assessments
Learn how to assess a customer's existing environment, collect information from a supported database as well as import data collected from Azure/AWS infrastructure. Generate inventory, cloud fit score, and financial reports including TCO and ROI analysis.
-
Course Featured Introduction to Image Generation
This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics. Within the last few years, diffusion models became popular in both research and industry. Diffusion m…
-
Course Featured Introduction to Google Workspace Administration
Introduction to Google Workspace Administration is the first course in the Google Workspace Administration series of courses. This series will serve as the starting place for any new Google Workspace admin as they begin their journey of managing and establishing Google Workspace best practices for their organizat…
-
Course Featured Introduction to AI and Machine Learning on Google Cloud
This course introduces the AI and machine learning (ML) offerings on Google Cloud that build both predictive and generative AI projects. It explores the technologies, products, and tools available throughout the data-to-AI life cycle, encompassing AI foundations, development, and solutions. It aims to help data sc…
-
Course Featured Introduction to Cloud Identity
Introduction to Cloud Identity serves as the starting place for any new Cloud Identity, Identity/Access Management/Mobile Device Management admins as they begin their journey of managing and establishing security and access management best practices for their organization. This 15-30 hour accelerated, one-week co…
-
Course Featured Introduction to Vertex AI Studio
This course introduces Vertex AI Studio, a tool for prototyping and customizing generative AI models. Through immersive lessons, engaging demos, and a hands-on lab, you'll explore the generative AI workflow and learn how to leverage Vertex AI Studio for Gemini multimodal applications, prompt design, and model tuni…
-
Course Featured Introduction to Data Analytics on Google Cloud
This introductory course explores the basics of data analysis, including collection, storage, exploration, visualization, and sharing. This course also introduces Google Cloud's data analytics tools and services. Through video lectures, demos, quizzes, and hands-on labs, this course demonstrates how to go from raw…
-
Course Featured Introduction to Gemini for Google Workspace
Gemini for Google Workspace is an add-on that provides customers with generative AI features in Google Workspace. In this learning path, you learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Google Workspace.
-
Lab Featured Introduction to Cloud Dataproc: Hadoop and Spark on Google Cloud
In this lab, you will learn how to start a managed Spark/Hadoop cluster using Dataproc, submit a sample Spark job, and shut down your cluster using the Google Cloud Console.
-
Lab Featured Introduction to Computer Vision with TensorFlow
In this lab you create a computer vision model that can recognize items of clothing and then explore what affects the training model.
-
Course Featured Introduction to Vertex Forecasting and Time Series in Practice
This course is an introduction to building forecasting solutions with Google Cloud. You start with sequence models and time series foundations. You then walk through an end-to-end workflow: from data preparation to model development and deployment with Vertex AI. Finally, you learn the lessons and tips from a reta…
-
Lab Featured Introduction to Convolutions with TensorFlow
A convolution is a filter that passes over an image, processes it, and extracts features that show a commonality in the image. In this lab you'll see how they work, and try processing an image to extract features from it!
-
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.
-
Lab Featured Introduction to Function Calling with Gemini
In this lab, you learn how to use the Vertex AI Gemini API with the Vertex AI SDK for Python to make function calls via the Gemini Pro (gemini-pro) model.
-
Lab Featured Introduction to SQL for BigQuery and Cloud SQL
In this lab, you learn fundamental SQL clauses and get hands-on practice running structured queries on BigQuery and Cloud SQL.
-
Lab Featured Chronicle SIEM: Introduction & Single Event Rules
In this lab you perform basic configuration tasks within a Chronicle environment instance.
-
Lab Featured Introduction to APIs in Google Cloud
In this lab, you review the architecture and basic functioning of Application Programming Interfaces (APIs) and then practice by configuring and running Cloud Storage API methods in Cloud Shell.
-
Lab Featured Introduction to Dart
In this lab you will learn the basics of Dart. Understand how to work with variables, flow control and functions to start your journey with Dart.
-
Lab Featured Introduction to Cloud Bigtable (Java)
Learn how to avoid common mistakes with schema design, import data in a sequence file, and query your data using Cloud Bigtable with the Java HBase client.
-
Lab Featured VM Migration: Introduction to StratoZone Assessments
In this lab you'll learn how to assess an IT environment with StratoZone's scalable discovery.