Responsible AI: Applying AI Principles with Google Cloud
Earned mai 16, 2024 EDT
Introduction to Responsible AI
Earned mai 16, 2024 EDT
Introduction to Large Language Models
Earned mai 16, 2024 EDT
Introduction to Generative AI
Earned mai 16, 2024 EDT
Implementing Cloud Load Balancing for Compute Engine
Earned déc. 9, 2022 EST
Essential Google Cloud Infrastructure: Foundation
Earned nov. 21, 2022 EST
Google Cloud Fundamentals: Core Infrastructure
Earned nov. 11, 2022 EST
Preparing for Your Associate Cloud Engineer Journey
Earned nov. 1, 2022 EDT
As the use of enterprise Artificial Intelligence and Machine Learning continues to grow, so too does the importance of building it responsibly. A challenge for many is that talking about responsible AI can be easier than putting it into practice. If you’re interested in learning how to operationalize responsible AI in your organization, this course is for you.
In this course, you will learn how Google Cloud does this today, together with best practices and lessons learned, to serve as a framework for you to build your own responsible AI approach.
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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 3 AI principles.
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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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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 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.
Responsible AI: Applying AI Principles with Google Cloud
Earned mai 16, 2024 EDT
Introduction to Responsible AI
Earned mai 16, 2024 EDT
Introduction to Large Language Models
Earned mai 16, 2024 EDT
Introduction to Generative AI
Earned mai 16, 2024 EDT
Implementing Cloud Load Balancing for Compute Engine
Earned déc. 9, 2022 EST
Essential Google Cloud Infrastructure: Foundation
Earned nov. 21, 2022 EST
Google Cloud Fundamentals: Core Infrastructure
Earned nov. 11, 2022 EST
Preparing for Your Associate Cloud Engineer Journey
Earned nov. 1, 2022 EDT