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Pronoy Bose

Member since 2023

Bronze League

5515 points
Preparing for Your Associate Cloud Engineer Journey Earned Oct 3, 2023 EDT
Modernize Infrastructure and Applications with Google Cloud Earned Sep 26, 2023 EDT
Exploring Data Transformation with Google Cloud - Locales Earned Sep 26, 2023 EDT
Generative AI Explorer : Vertex AI Earned Sep 22, 2023 EDT
Introduction to Image Generation Earned Sep 22, 2023 EDT
Responsible AI: Applying AI Principles with Google Cloud Earned Sep 22, 2023 EDT
Generative AI Fundamentals Earned Sep 21, 2023 EDT
Introduction to Responsible AI Earned Sep 21, 2023 EDT
Introduction to Large Language Models Earned Sep 21, 2023 EDT
Introduction to Generative AI Earned Sep 21, 2023 EDT

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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Many traditional enterprises use legacy systems and applications that can't stay up-to-date with modern customer expectations. Business leaders often have to choose between maintaining their aging IT systems or investing in new products and services. "Modernize Infrastructure and Applications with Google Cloud" explores these challenges and offers solutions to overcome them by using cloud technology. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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This course, Exploring Data Transformation with Google Cloud - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Exploring Data Transformation with Google Cloud. Cloud technology can bring great value to an organization, and combining the power of cloud technology with data has the potential to unlock even more value and create new customer experiences.“Exploring Data Transformation with Google Cloud” explores the value data can bring to an organization and ways Google Cloud can make data useful and accessible.Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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This content is deprecated. Please see the latest version of the course, here.

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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 models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them on Vertex AI.

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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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Earn a skill badge by passing the final quiz, you'll demonstrate your understanding of foundational concepts in generative AI. A skill badge is a digital badge issued by Google Cloud in recognition of your knowledge of Google Cloud products and services. Share your skill badge by making your profile public and adding it to your social media profile.

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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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