Observability in Google Cloud
Earned sept. 8, 2024 EDT
Elastic Google Cloud Infrastructure: Scaling and Automation
Earned sept. 8, 2024 EDT
Google Cloud Fundamentals: Core Infrastructure
Earned août 18, 2024 EDT
Preparing for Your Associate Cloud Engineer Journey
Earned août 14, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned juil. 18, 2024 EDT
Explore Generative AI with the Gemini API in Vertex AI
Earned juin 20, 2024 EDT
Introduction to Responsible AI
Earned avr. 12, 2024 EDT
Introduction to Large Language Models
Earned avr. 9, 2024 EDT
Introduction to Generative AI
Earned avr. 9, 2024 EDT
Welcome to the second part of the two part course, Observability in Google Cloud.
This course is all about application performance management tools, including Error Reporting, Cloud Trace, and Cloud Profiler.
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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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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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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 intermediate Explore Generative AI with the Gemini API in Vertex AI skill badge to demonstrate skills in text generation, image and video analysis for enhanced content creation, and applying function calling techniques within the Gemini API. Discover how to leverage sophisticated Gemini techniques, explore multimodal content generation, and expand the capabilities of your AI-powered projects.
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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.
Observability in Google Cloud
Earned sept. 8, 2024 EDT
Elastic Google Cloud Infrastructure: Scaling and Automation
Earned sept. 8, 2024 EDT
Google Cloud Fundamentals: Core Infrastructure
Earned août 18, 2024 EDT
Preparing for Your Associate Cloud Engineer Journey
Earned août 14, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned juil. 18, 2024 EDT
Explore Generative AI with the Gemini API in Vertex AI
Earned juin 20, 2024 EDT
Introduction to Responsible AI
Earned avr. 12, 2024 EDT
Introduction to Large Language Models
Earned avr. 9, 2024 EDT
Introduction to Generative AI
Earned avr. 9, 2024 EDT