Google Cloud Computing Foundations: Cloud Computing Fundamentals
Earned août 1, 2024 EDT
Manage Kubernetes in Google Cloud
Earned juil. 30, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned juil. 25, 2024 EDT
Prompt Design in Vertex AI
Earned juil. 25, 2024 EDT
Introduction to Responsible AI
Earned juil. 24, 2024 EDT
Introduction to Large Language Models
Earned juil. 24, 2024 EDT
Introduction to Generative AI
Earned sept. 15, 2023 EDT
The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This first course provides an overview of cloud computing, ways to use Google Cloud, and different compute options.
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Complete the intermediate Manage Kubernetes in Google Cloud skill badge course to demonstrate skills in the following: managing deployments with kubectl, monitoring and debugging applications on Google Kubernetes Engine (GKE), and continuous delivery techniques.
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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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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 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.
Google Cloud Computing Foundations: Cloud Computing Fundamentals
Earned août 1, 2024 EDT
Manage Kubernetes in Google Cloud
Earned juil. 30, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned juil. 25, 2024 EDT
Prompt Design in Vertex AI
Earned juil. 25, 2024 EDT
Introduction to Responsible AI
Earned juil. 24, 2024 EDT
Introduction to Large Language Models
Earned juil. 24, 2024 EDT
Introduction to Generative AI
Earned sept. 15, 2023 EDT