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Rabbani Shaik

Member since 2018

Gold League

11075 points
Generative AI Fundamentals Earned يوليو 18, 2025 EDT
Introduction to Responsible AI Earned يوليو 18, 2025 EDT
Introduction to Large Language Models Earned يوليو 18, 2025 EDT
Introduction to Generative AI Earned يوليو 18, 2025 EDT
Preparing for Your Professional Cloud Security Engineer Journey Earned مارس 13, 2025 EDT
Build Data Lakes and Data Warehouses on Google Cloud Earned مارس 5, 2025 EST
Preparing for the Google Cloud Professional Data Engineer Exam - Locales Earned فبراير 10, 2025 EST
Preparing for your Professional Data Engineer Journey Earned فبراير 1, 2025 EST

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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This course helps learners prepare for the Professional Cloud Security Engineer (PCSE) Certification exam. Learners will be exposed to and engage with exam topics through a series of lectures, diagnostic questions, and knowledge checks. After completing this course, learners will have a personalized workbook that will guide them through the rest of their certification readiness journey.

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While the traditional approaches of using data lakes and data warehouses can be effective, they have shortcomings, particularly in large enterprise environments. This course introduces the concept of a data lakehouse and the Google Cloud products used to create one. A lakehouse architecture uses open-standard data sources and combines the best features of data lakes and data warehouses, which addresses many of their shortcomings.

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This course, Preparing for the Google Cloud Professional Data Engineer Exam - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Preparing for the Google Cloud Professional Data Engineer Exam The purpose of this course is to help those who are qualified develop confidence to attempt the exam, and to help those not yet qualified to develop their own plan for preparation.

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This course helps learners create a study plan for the PDE (Professional Data Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.

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