Prompt Design in Vertex AI
Earned déc. 1, 2025 EST
Machine Learning Operations (MLOps) for Generative AI
Earned nov. 23, 2025 EST
Prepare Data for ML APIs on Google Cloud
Earned nov. 23, 2025 EST
Configure AI Applications to optimize search results
Earned nov. 15, 2025 EST
Build search and recommendations applications with AI Applications
Earned nov. 14, 2025 EST
Introduction to Large Language Models
Earned sept. 28, 2025 EDT
Introduction to Generative AI
Earned sept. 27, 2025 EDT
Data Warehousing for Partners: Process Data with Dataproc
Earned jan. 16, 2025 EST
Data Warehousing for Partners: Optimize in BigQuery
Earned jan. 14, 2025 EST
Data Warehousing for Partners: Enable Google Cloud Customers
Earned jan. 14, 2025 EST
Data Warehousing for Partners: Process Data with Dataflow
Earned déc. 13, 2024 EST
Data Warehousing for Partners: Stream Data with Pub/Sub
Earned déc. 11, 2024 EST
Implementing Cloud Load Balancing for Compute Engine
Earned mai 6, 2024 EDT
Elastic Google Cloud Infrastructure: Scaling and Automation
Earned déc. 27, 2023 EST
Essential Google Cloud Infrastructure: Core Services
Earned déc. 12, 2023 EST
Essential Google Cloud Infrastructure: Foundation
Earned déc. 7, 2023 EST
Google Cloud Fundamentals: Core Infrastructure
Earned nov. 28, 2023 EST
Preparing for Your Associate Cloud Engineer Journey
Earned nov. 27, 2023 EST
Digital Transformation with Google Cloud
Earned nov. 24, 2023 EST
Complete the introductory Prompt Design in Vertex AI skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Vertex AI. Discover how to craft effective prompts, guide generative AI output, and apply Gemini models to real-world marketing scenarios.
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This course is dedicated to equipping you with the knowledge and tools needed to uncover the unique challenges faced by MLOps teams when deploying and managing Generative AI models, and exploring how Vertex AI empowers AI teams to streamline MLOps processes and achieve success in Generative AI projects.
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Complete the introductory Prepare Data for ML APIs on Google Cloud skill badge to demonstrate skills in the following: cleaning data with Dataprep by Trifacta, running data pipelines in Dataflow, creating clusters and running Apache Spark jobs in Dataproc, and calling ML APIs including the Cloud Natural Language API, Google Cloud Speech-to-Text API, and Video Intelligence API.
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Complete the Configure AI Applications to optimize search results skill badge to demonstrate your proficiency in configuring search results from AI Applications. You will be tasked with implementing search serving controls to boost and bury results, filter entries from search results and display metadata in your search interface.
Please note that AI Applications was previously named Agent Builder, so you may encounter this older name within the lab content.
A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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Complete the Build search and recommendations AI Applications skill badge to demonstrate your proficiency in deploying search and recommendation applications through AI Applications. Additionally, emphasis is placed on constructing a tailored Q&A system utilizing data stores.
Please note that AI Applications was previously named Agent Builder, so you may encounter this older name within the lab content.
A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
En savoir plus
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.
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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.
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This course explores the implementation of data load and transformation pipelines for a BigQuery Data Warehouse using Dataproc.
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Welcome to Optimize in BigQuery, where we map Enterprise Data Warehouse concepts and components to BigQuery and Google data services with a focus on optimization.
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This course discusses the key elements of Google's Data Warehouse solution portfolio and strategy.
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This course continues to explore the implementation of data load and transformation pipelines for a BigQuery Data Warehouse using Dataflow.
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This course explores how to implement a streaming analytics solution using Pub/Sub.
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Complete the introductory Implementing Cloud Load Balancing for Compute Engine skill badge to demonstrate skills in the following: creating and deploying virtual machines in Compute Engine and configuring network and application load balancers.
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This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including securely interconnecting networks, load balancing, autoscaling, infrastructure automation and managed services.
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This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.
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This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, virtual machines and applications services. You will learn how to use the Google Cloud through the console and Cloud Shell. You'll also learn about the role of a cloud architect, approaches to infrastructure design, and virtual networking configuration with Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, and Firewall rules.
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Google Cloud Fundamentals: Core Infrastructure introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.
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This course helps you structure your preparation for the Associate Cloud Engineer exam. You will learn about the Google Cloud domains covered by the exam and how to create a study plan to improve your domain knowledge.
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There's much excitement about cloud technology and digital transformation, but often many unanswered questions.
For example: What is cloud technology? What does digital transformation mean? How can cloud technology help your organization? Where do you even begin?
If you've asked yourself any of these questions, you're in the right place. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey. If you want to learn about cloud technology so you can excel in your role and help build the future of your business, then this introductory course on digital transformation is for you. This course is part of the Cloud Digital Leader learning path.
Prompt Design in Vertex AI
Earned déc. 1, 2025 EST
Machine Learning Operations (MLOps) for Generative AI
Earned nov. 23, 2025 EST
Prepare Data for ML APIs on Google Cloud
Earned nov. 23, 2025 EST
Configure AI Applications to optimize search results
Earned nov. 15, 2025 EST
Build search and recommendations applications with AI Applications
Earned nov. 14, 2025 EST
Introduction to Large Language Models
Earned sept. 28, 2025 EDT
Introduction to Generative AI
Earned sept. 27, 2025 EDT
Data Warehousing for Partners: Process Data with Dataproc
Earned jan. 16, 2025 EST
Data Warehousing for Partners: Optimize in BigQuery
Earned jan. 14, 2025 EST
Data Warehousing for Partners: Enable Google Cloud Customers
Earned jan. 14, 2025 EST
Data Warehousing for Partners: Process Data with Dataflow
Earned déc. 13, 2024 EST
Data Warehousing for Partners: Stream Data with Pub/Sub
Earned déc. 11, 2024 EST
Implementing Cloud Load Balancing for Compute Engine
Earned mai 6, 2024 EDT
Elastic Google Cloud Infrastructure: Scaling and Automation
Earned déc. 27, 2023 EST
Essential Google Cloud Infrastructure: Core Services
Earned déc. 12, 2023 EST
Essential Google Cloud Infrastructure: Foundation
Earned déc. 7, 2023 EST
Google Cloud Fundamentals: Core Infrastructure
Earned nov. 28, 2023 EST
Preparing for Your Associate Cloud Engineer Journey
Earned nov. 27, 2023 EST
Digital Transformation with Google Cloud
Earned nov. 24, 2023 EST