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Swanubhuti Dikekar

Member since 2022

Gold League

12379 points
Preparing for Your Associate Cloud Engineer Journey Earned Jan 21, 2026 EST
Responsible AI for Developers: Interpretability & Transparency Earned Jan 17, 2026 EST
Responsible AI for Developers: Privacy & Safety Earned Jan 17, 2026 EST
Model Armor: Securing AI Deployments Earned Jan 14, 2026 EST
Introduction to Security in the World of AI Earned Jan 13, 2026 EST
Gen AI: Unlock Foundational Concepts Earned Jan 9, 2026 EST
Gen AI: Beyond the Chatbot Earned Jan 8, 2026 EST
Responsible AI for Developers: Fairness & Bias Earned Jan 4, 2026 EST
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation Earned Jan 3, 2026 EST
Machine Learning Operations (MLOps) for Generative AI Earned Jan 3, 2026 EST
Qwiklabs Trivia October 2023 Week 3 Earned Oct 25, 2023 EDT
Qwiklabs Trivia October 2023 Week 1 Earned Oct 22, 2023 EDT
Qwiklabs Trivia October 2023 Week 2 Earned Oct 22, 2023 EDT
Learn to Earn Cloud Security Challenge: Level 1 Earned Jan 24, 2022 EST

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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This course introduces concepts of AI interpretability and transparency. It discusses the importance of AI transparency for developers and engineers. It explores practical methods and tools to help achieve interpretability and transparency in both data and AI models.

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This course introduces important topics of AI privacy and safety. It explores practical methods and tools to implement AI privacy and safety recommended practices through the use of Google Cloud products and open-source tools.

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This course reviews the essential security features of Model Armor and equips you to work with the service. You’ll learn about the security risks associated with LLMs and how Model Armor protects your AI applications.

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Artificial Intelligence (AI) offers transformative possibilities, but it also introduces new security challenges. This course equips security and data protection leaders with strategies to securely manage AI within their organizations. Learn a framework for proactively identifying and mitigating AI-specific risks, protecting sensitive data, ensuring compliance, and building a resilient AI infrastructure. Pick use cases from four different industries to explore how these strategies apply in real-world scenarios.

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Gen AI: Unlock Foundational Concepts is the second course of the Gen AI Leader learning path. In this course, you unlock the foundational concepts of generative AI by exploring the differences between AI, ML, and gen AI, and understanding how various data types enable generative AI to address business challenges. You also gain insights into Google Cloud strategies to address the limitations of foundation models and the key challenges for responsible and secure AI development and deployment.

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Gen AI: Beyond the Chatbot is the first course of the Gen AI Leader learning path and has no prerequisites. This course aims to move beyond the basic understanding of chatbots to explore the true potential of generative AI for your organization. You explore concepts like foundation models and prompt engineering, which are crucial for leveraging the power of gen AI. The course also guides you through important considerations you should make when developing a successful gen AI strategy for your organization.

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This course introduces concepts of responsible AI and AI principles. It covers techniques to practically identify fairness and bias and mitigate bias in AI/ML practices. It explores practical methods and tools to implement Responsible AI best practices using Google Cloud products and open source tools.

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This course equips machine learning practitioners with the essential tools, techniques, and best practices for evaluating both generative and predictive AI models. Model evaluation is a critical discipline for ensuring that ML systems deliver reliable, accurate, and high-performing results in production. Participants will gain a deep understanding of various evaluation metrics, methodologies, and their appropriate application across different model types and tasks. The course will emphasize the unique challenges posed by generative AI models and provide strategies for tackling them effectively. By leveraging Google Cloud's Vertex AI platform, participants will learn how to implement robust evaluation processes for model selection, optimization, and continuous monitoring.

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This course is dedicated to equipping you with the knowledge and tools needed to uncover the unique challenges faced by MLOps teams when deploying and managing Generative AI models, and exploring how Vertex AI empowers AI teams to streamline MLOps processes and achieve success in Generative AI projects.

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Hey there! You're invited to game on with Qwiklabs Trivia for October 2023! Play throughout the month and boost your cloud learning journey. This week, we're releasing a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the October week 3 badge!

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Hey there! You're invited to game on with Qwiklabs Trivia for October 2023! Play throughout the month and boost your cloud learning journey. This week, we're releasing a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the October week 1 badge!

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Hey there! You're invited to game on with Qwiklabs Trivia for October 2023! Play throughout the month and boost your cloud learning journey. This week, we're releasing a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the October week 2 badge!

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These labs help you get started with cloud security basics. At the end of each lab, you'll have hands-on experience with securing your cloud. Complete this game to earn the Level 1 game badge, and you'll be one step closer to completing the challenge. Race the clock to increase your score and watch your name rise on the leaderboard!

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