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Sohaim Aslam

Member since 2023

Gold League

9200 points
Badge for Encoder-Decoder Architecture Encoder-Decoder Architecture Earned مارس 9, 2025 EDT
Badge for Attention Mechanism Attention Mechanism Earned مارس 9, 2025 EDT
Badge for Security Command Center Fundamentals Security Command Center Fundamentals Earned مارس 9, 2025 EDT
Badge for Google Security Operations - Fundamentals Google Security Operations - Fundamentals Earned مارس 9, 2025 EDT
Badge for Responsible AI: Applying AI Principles with Google Cloud Responsible AI: Applying AI Principles with Google Cloud Earned مارس 8, 2025 EST
Badge for Prompt Design in Vertex AI Prompt Design in Vertex AI Earned مارس 8, 2025 EST
Badge for Introduction to Responsible AI Introduction to Responsible AI Earned مارس 8, 2025 EST
Badge for Introduction to Large Language Models Introduction to Large Language Models Earned مارس 8, 2025 EST
Badge for Introduction to Generative AI Introduction to Generative AI Earned مارس 8, 2025 EST

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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Learn about the fundamental features of Security Command Center on Google Cloud. Spend time in this course to understand assets, detection and compliance. Security Command Center is a key part of your Google Cloud security journey, complete these modules and quiz to earn a completion badge.

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This course covers the basline skills needed for the Chronicle Security Operations Platform. The modules will cover specific actions and features that security engineers should become familiar with to start using the toolset.

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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. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.

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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 7 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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