가입 로그인

Rajagopal Vaideeswaran

회원 가입일: 2022

다이아몬드 리그

19215포인트
Experimenting and Evaluating your Gen AI models Earned 3월 14, 2025 EDT
Building AI with Colab Enterprise Earned 3월 3, 2025 EST
Accelerating Generative AI pipelines with GPUs and TPUs Earned 3월 3, 2025 EST
Generative AI Fundamentals Earned 2월 28, 2025 EST
Generative AI for Business Leaders Earned 2월 27, 2025 EST
책임감 있는 AI: Google Cloud를 통한 AI 원칙 적용하기 Earned 1월 30, 2025 EST
Selling the Platform & Building Client Trust Earned 1월 29, 2025 EST
Unlocking the Power of Google Cloud Generative AI for Partners Earned 1월 28, 2025 EST
Google Cloud Generative AI Trailblazer Earned 1월 27, 2025 EST
Gmail의 Gemini Earned 1월 22, 2025 EST
Google Workspace를 위한 Gemini 소개 Earned 1월 22, 2025 EST
생성형 AI를 위한 머신러닝 작업(MLOps) Earned 1월 17, 2025 EST
Google Docs의 Gemini Earned 10월 17, 2024 EDT
Scaling with Google Cloud Operations Earned 5월 9, 2024 EDT
Trust and Security with Google Cloud Earned 5월 9, 2024 EDT
Modernize Infrastructure and Applications with Google Cloud Earned 5월 9, 2024 EDT
Exploring Data Transformation with Google Cloud Earned 5월 3, 2024 EDT
Innovating with Google Cloud Artificial Intelligence Earned 4월 22, 2024 EDT
Digital Transformation with Google Cloud Earned 3월 8, 2024 EST
Enterprise Readiness in Generative AI Earned 2월 14, 2024 EST
생성형 AI 소개 Earned 2월 13, 2024 EST
Upgrading your skills to work with Generative AI Earned 2월 13, 2024 EST

Model experimentation and evaluation are critical steps in the journey to productionalize an LLM. This course introduces new tools that will help simplify these tasks.

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Discover how to use Colab Enterprise, a managed notebook environment that provides secure and compliant storage for your notebooks, that comes with two code-generation features: code complete and code gen. Create and use runtime templates in Vertex AI Workbench to give users access to more powerful compute resources while still maintaining control over the types of resources that are spun up. Share notebooks with other users and use versioning to keep track of changes to your notebooks. Learn how Colab Enterprise integrates BigQuery and Vertex AI. You will see how to pull data from BigQuery, use BQML to train a model, and have it all integrated with Vertex Model Registry. Explore how to fine-tune a Foundation model or generative AI model using the Vertex AI SDK. And, learn how to evaluate a tuned model and compare the results of multiple runs.

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Not all ML workloads benefit from hardware acceleration, but when they do, Google Cloud has you covered. Learn when and how to use GPU and TPU accelerators most effectively in your ML workloads on Google Cloud.

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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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A Business Leader in Generative AI can articulate the capabilities of core cloud Generative AI products and services and understand how they benefit organizations. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey and how they can leverage Google Cloud's generative AI products to overcome these challenges.

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기업에서 인공지능과 머신러닝의 사용이 계속 증가함에 따라 책임감 있는 빌드의 중요성도 커지고 있습니다. 대부분의 기업은 책임감 있는 AI를 실천하기가 말처럼 쉽지 않습니다. 조직에서 책임감 있는 AI를 운영하는 방법에 관심이 있다면 이 과정이 도움이 될 것입니다. 이 과정에서 책임감 있는 AI를 위해 현재 Google Cloud가 기울이고 있는 노력, 권장사항, Google Cloud가 얻은 교훈을 알아보면 책임감 있는 AI 접근 방식을 구축하기 위한 프레임워크를 수립할 수 있을 것입니다.

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This course is for Partner sellers and technical pre-sales engineers to gain a comprehensive understanding of Google Cloud's cutting-edge Generative AI capabilities, learn to identify high-impact use cases, and develop the skills to demonstrate and integrate these technologies seamlessly into client solutions and operations.

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This course is for Partner sellers and technical pre-sales engineers to gain a comprehensive understanding of Google Cloud's cutting-edge Generative AI capabilities and learn to identify high-impact use cases.

자세히 알아보기

This course is for Google Cloud’s top partner sellers and technical pre-sales engineers to gain a comprehensive understanding of Google Cloud's cutting-edge Generative AI capabilities and learn to identify high-impact use cases. Those who complete the training and assessment will receive the Google Cloud Generative AI Trailblazer badge through Skills Boost.

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Google Workspace를 위한 Gemini는 고객에게 Google Workspace의 생성형 AI 기능을 제공하는 부가기능입니다. 이 미니 학습 과정에서는 Gemini의 주요 기능을 살펴보고 이러한 기능으로 Gmail의 생산성과 효율성을 향상하는 방법을 알아봅니다.

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Google Workspace를 위한 Gemini는 고객에게 Google Workspace의 생성형 AI 기능을 제공하는 부가기능입니다. 이 학습 과정에서는 Gemini의 주요 기능을 살펴보고 이러한 기능으로 Google Workspace의 생산성과 효율성을 향상하는 방법을 알아봅니다.

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이 과정에서는 생성형 AI 모델을 배포하고 관리할 때 MLOps팀이 직면하는 고유한 과제를 파악하는 데 필요한 지식과 도구를 제공하고 Vertex AI가 어떻게 AI팀이 MLOps 프로세스를 간소화하고 생성형 AI 프로젝트에서 성공을 거둘 수 있도록 지원하는지 살펴봅니다.

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Google Workspace를 위한 Gemini는 사용자에게 생성형 AI 기능에 대한 액세스를 제공하는 부가기능입니다. 이 과정은 동영상 강의, 실습, 실제 사례를 사용하여 Google Docs의 Gemini가 제공하는 기능을 상세하게 살펴봅니다. 학습자는 Gemini를 사용하여 프롬프트를 바탕으로 텍스트 콘텐츠를 생성하는 방법을 확인하게 됩니다. 또한, 이미 작성한 텍스트를 Gemini로 수정하는 방법을 알아봅니다. 이러한 Gemini 활용을 통해 전체적인 생산성을 향상할 수 있습니다. 이 과정을 완료하면 Google Docs의 Gemini를 자신 있게 활용하여 텍스트 콘텐츠를 향상할 수 있는 지식과 기술을 얻게 됩니다.

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Organizations of all sizes are embracing the power and flexibility of the cloud to transform how they operate. However, managing and scaling cloud resources effectively can be a complex task. Scaling with Google Cloud Operations explores the fundamental concepts of modern operations, reliability, and resilience in the cloud, and how Google Cloud can help support these efforts. 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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As organizations move their data and applications to the cloud, they must address new security challenges. The Trust and Security with Google Cloud course explores the basics of cloud security, the value of Google Cloud's multilayered approach to infrastructure security, and how Google earns and maintains customer trust in the cloud. 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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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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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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Artificial intelligence (AI) and machine learning (ML) represent an important evolution in information technologies that are quickly transforming a wide range of industries. “Innovating with Google Cloud Artificial Intelligence” explores how organizations can use AI and ML to transform their business processes. 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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There's much excitement about cloud technology and digital transformation, but often many unanswered questions. For example: What is cloud technology? What does digital transformation mean? How can cloud technology help your organization? Where do you even begin? If you've asked yourself any of these questions, you're in the right place. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey. If you want to learn about cloud technology so you can excel in your role and help build the future of your business, then this introductory course on digital transformation is for you. This course is part of the Cloud Digital Leader learning path.

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Explore the four pillars of Enterprise Readiness in generative AI: data governance and privacy, security and compliance support, infrastructure reliability and sustainability, and responsible AI. You will also learn how these pillars address concerns about data privacy and security. Learn about customizing foundation models with your data while keeping your data safe using adapter layers, how to keep your AI models safe and compliant when deploying them across the world, and the multiple layers of encryption, rigorous controls, supply chain audits, and ongoing security testing that are built into Google Cloud. You will also learn about security controls such as VPC, customer-managed encryption keys, access transparency, and data residency zones. And explore enterprise controls, certifications, and responsible AI tooling available in Vertex AI to ensure your data remains secure and compliant with global regulations when deploying generative AI models.

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생성형 AI란 무엇이고 어떻게 사용하며 전통적인 머신러닝 방법과는 어떻게 다른지 설명하는 입문용 마이크로 학습 과정입니다. 직접 생성형 AI 앱을 개발하는 데 도움이 되는 Google 도구에 대해서도 다룹니다.

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Learn about the new skills you'll need to be successful when using generative AI. Google Cloud has used generative AI to help keep you engaged and streamline your learning journey.

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