Generative AI Fundamentals
Earned Jul 18, 2025 EDT
Einführung in die verantwortungsbewusste Anwendung von KI
Earned Jul 18, 2025 EDT
Einführung in Large Language Models
Earned Jul 18, 2025 EDT
Einführung in generative KI
Earned Jul 18, 2025 EDT
Preparing for Your Professional Cloud Security Engineer Journey
Earned Mär 13, 2025 EDT
Build Data Lakes and Data Warehouses on Google Cloud
Earned Mär 5, 2025 EST
Preparing for the Google Cloud Professional Data Engineer Exam - Locales
Earned Feb 10, 2025 EST
Preparing for your Professional Data Engineer Journey
Earned Feb 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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In diesem Einführungskurs im Microlearning-Format wird erklärt, was verantwortungsbewusste Anwendung von KI bedeutet, warum sie wichtig ist und wie Google dies in seinen Produkten berücksichtigt. Darüber hinaus werden die 7 KI-Grundsätze von Google behandelt.
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In diesem Einführungskurs im Microlearning-Format wird untersucht, was Large Language Models (LLM) sind, für welche Anwendungsfälle sie genutzt werden können und wie die LLM-Leistung durch Feinabstimmung von Prompts gesteigert werden kann. Darüber hinaus werden Tools von Google behandelt, die das Entwickeln eigener Anwendungen basierend auf generativer KI ermöglichen.
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In diesem Einführungskurs im Microlearning-Format wird erklärt, was generative KI ist, wie sie genutzt wird und wie sie sich von herkömmlichen Methoden für Machine Learning unterscheidet. Darüber hinaus werden Tools von Google behandelt, mit denen Sie eigene Anwendungen basierend auf generativer KI entwickeln können.
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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.
Generative AI Fundamentals
Earned Jul 18, 2025 EDT
Einführung in die verantwortungsbewusste Anwendung von KI
Earned Jul 18, 2025 EDT
Einführung in Large Language Models
Earned Jul 18, 2025 EDT
Einführung in generative KI
Earned Jul 18, 2025 EDT
Preparing for Your Professional Cloud Security Engineer Journey
Earned Mär 13, 2025 EDT
Build Data Lakes and Data Warehouses on Google Cloud
Earned Mär 5, 2025 EST
Preparing for the Google Cloud Professional Data Engineer Exam - Locales
Earned Feb 10, 2025 EST
Preparing for your Professional Data Engineer Journey
Earned Feb 1, 2025 EST