varun sharma
Date d'abonnement : 2023
Ligue d'Or
4100 points
Build a Certification Study Guide: PCA Exam Prep
Earned oct. 14, 2024 EDT
Implement Event-Driven Messaging and Automation Workflows
Earned juil. 20, 2024 EDT
AI & ML Developer Quizathon
Earned avr. 9, 2024 EDT
Cloud Architect Quizathon
Earned avr. 9, 2024 EDT
Workspace Developer Quizathon
Earned avr. 9, 2024 EDT
Security Professional Quizathon
Earned avr. 9, 2024 EDT
Application Developer Quizathon
Earned avr. 9, 2024 EDT
Data Practitioner Quizathon
Earned avr. 9, 2024 EDT
DevOps Engineer Quizathon
Earned avr. 9, 2024 EDT
Machine Learning Operations (MLOps): Getting Started
Earned sept. 3, 2023 EDT
Introduction to Image Generation
Earned sept. 2, 2023 EDT
Encoder-Decoder Architecture
Earned sept. 2, 2023 EDT
Attention Mechanism
Earned sept. 2, 2023 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned sept. 2, 2023 EDT
Application Developer Quizathon
Earned août 31, 2023 EDT
Generative AI Fundamentals
Earned août 29, 2023 EDT
[DEPRECATED]Introduction to Responsible AI
Earned août 29, 2023 EDT
Introduction to Large Language Models
Earned août 29, 2023 EDT
Introduction to Generative AI
Earned août 29, 2023 EDT
Productivity Developer Quizathon
Earned août 29, 2023 EDT
Cloud Architect Quizathon
Earned août 29, 2023 EDT
DevOps Engineer Quizathon
Earned août 29, 2023 EDT
AI-ML Ops Engineer Quizathon
Earned août 29, 2023 EDT
Data Professional Quizathon
Earned août 29, 2023 EDT
Learn how to use Gemini Notebook to create a personalized study guide for the Professional Cloud Architect certification exam.
You'll review Gemini Notebook features, create a notebook in Gemini Notebook, and learn how to use a study guide to practice for a certification exam.
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Earn a skill badge by completing the Implement Event-Driven Messaging and Automation Workflows skill badge course, where you learn how to use Pub/Sub through the Cloud console, how Cloud Scheduler jobs can save you effort, and when Pub/Sub Lite can save you money on high-volume event ingestion.
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Welcome to the Quizathon! Check your AI & ML expertise in Google Cloud.
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Welcome to the Quizathon! Check your cloud architect expertise in Google Cloud.
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Welcome to the Quizathon! Check your Workspace expertise.
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Welcome to the Quizathon! Check your Security expertise.
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Welcome to the Quizathon! Check your Application Development expertise.
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Welcome to the Quizathon! Check your data expertise in Google Cloud.
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Welcome to the Quizathon! Check your DevOps expertise in Google Cloud.
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This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Machine Learning Engineering professionals use tools for continuous improvement and evaluation of deployed models. They work with (or can be) Data Scientists, who develop models, to enable velocity and rigor in deploying the best performing models.
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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 Gemini Enterprise Agent Platform.
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This course gives you a synopsis of the encoder-decoder architecture, which is a powerful and prevalent machine learning architecture for sequence-to-sequence tasks such as machine translation, text summarization, and question answering. You learn about the main components of the encoder-decoder architecture and how to train and serve these models. In the corresponding lab walkthrough, you’ll code in TensorFlow a simple implementation of the encoder-decoder architecture for poetry generation from the beginning.
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This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence. You will learn how attention works, and how it can be used to improve the performance of a variety of machine learning tasks, including machine translation, text summarization, and question answering. This course is estimated to take approximately 45 minutes to complete.
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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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Welcome to the Quizathon! Check your Application Development expertise in Google Cloud.
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Earn a skill badge by completing the Introduction to Generative AI, Introduction to Large Language Models and Introduction to Responsible AI courses. 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. Explore other content in the Gemini Agent Ready (GEAR) program.
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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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Welcome to the Quizathon! Check your Productivity Development expertise in Google Cloud.
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Welcome to the Quizathon! Check your Cloud expertise.
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Welcome to the Quizathon! Check your DevOps expertise in Google Cloud.
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Welcome to the Quizathon! Check your AI/ML expertise in Google Cloud.
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Welcome to the Quizathon! Check your database expertise in Google Cloud.
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