Introduction to Large Language Models
Earned sept. 1, 2024 EDT
Understanding LookML in Looker
Earned juin 12, 2024 EDT
Prepare Data for Looker Dashboards and Reports
Earned mai 26, 2024 EDT
Developing Data Models with LookML
Earned mai 25, 2024 EDT
Analyzing and Visualizing Data in Looker
Earned mai 13, 2024 EDT
Introduction to Data Analytics on Google Cloud
Earned mai 8, 2024 EDT
Introduction to Vertex AI Studio
Earned avr. 2, 2024 EDT
Introduction to Responsible AI
Earned avr. 2, 2024 EDT
Introduction to Generative AI
Earned fév. 20, 2024 EST
Introduction to Image Generation
Earned fév. 20, 2024 EST
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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In this quest, you will get hands-on experience with LookML in Looker. You will learn how to write LookML code to create new dimensions and measures, create derived tables and join them to Explores, filter Explores, and define caching policies in LookML.
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Complete the introductory Prepare Data for Looker Dashboards and Reports skill badge course to demonstrate skills in the following: filtering, sorting, and pivoting data; merging results from different Looker Explores; and using functions and operators to build Looker dashboards and reports for data analysis and visualization.
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This course empowers you to develop scalable, performant LookML (Looker Modeling Language) models that provide your business users with the standardized, ready-to-use data that they need to answer their questions. Upon completing this course, you will be able to start building and maintaining LookML models to curate and manage data in your organization’s Looker instance.
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In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. Upon completion of this course, you will be able to leverage Looker's modern analytics platform to find and explore relevant content in your organization’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.
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In this beginner-level course, you will learn about the Data Analytics workflow on Google Cloud and the tools you can use to explore, analyze, and visualize data and share your findings with stakeholders. Using a case study along with hands-on labs, lectures, and quizzes/demos, the course will demonstrate how to go from raw datasets to clean data to impactful visualizations and dashboards. Whether you already work with data and want to learn how to be successful on Google Cloud, or you’re looking to progress in your career, this course will help you get started. Almost anyone who performs or uses data analysis in their work can benefit from this course.
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This course introduces Vertex AI Studio, a tool to interact with generative AI models, prototype business ideas, and launch them into production. Through an immersive use case, engaging lessons, and a hands-on lab, you’ll explore the prompt-to-product lifecycle and learn how to leverage Vertex AI Studio for Gemini multimodal applications, prompt design, prompt engineering, and model tuning. The aim is to enable you to unlock the potential of gen AI in your projects with Vertex AI Studio.
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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 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 introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics. Within the last few years, diffusion models became popular in both research and industry. Diffusion models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them on Vertex AI.
Introduction to Large Language Models
Earned sept. 1, 2024 EDT
Understanding LookML in Looker
Earned juin 12, 2024 EDT
Prepare Data for Looker Dashboards and Reports
Earned mai 26, 2024 EDT
Developing Data Models with LookML
Earned mai 25, 2024 EDT
Analyzing and Visualizing Data in Looker
Earned mai 13, 2024 EDT
Introduction to Data Analytics on Google Cloud
Earned mai 8, 2024 EDT
Introduction to Vertex AI Studio
Earned avr. 2, 2024 EDT
Introduction to Responsible AI
Earned avr. 2, 2024 EDT
Introduction to Generative AI
Earned fév. 20, 2024 EST
Introduction to Image Generation
Earned fév. 20, 2024 EST