Prepare Data for Looker Dashboards and Reports
Earned Apr 1, 2024 EDT
Developing Data Models with LookML
Earned Mar 28, 2024 EDT
Analyzing and Visualizing Data in Looker
Earned Mar 26, 2024 EDT
Prompt Design in Vertex AI
Earned Mar 21, 2024 EDT
Conversational AI on Vertex AI and Dialogflow CX
Earned Mar 18, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned Mar 14, 2024 EDT
Introduction to Responsible AI
Earned Mar 14, 2024 EDT
Introduction to Large Language Models
Earned Mar 14, 2024 EDT
Introduction to Generative AI
Earned Mar 14, 2024 EDT
In this course, you will get hands-on experience applying advanced LookML concepts in Looker. You will learn how to use Liquid to customize and create dynamic dimensions and measures, create dynamic SQL derived tables and customized native derived tables, and use extends to modularize your LookML code.
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Complete the introductory Prepare Data for Looker Dashboards and Reports skill badge 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. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.
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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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Complete the introductory Prompt Design in Vertex AI skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Vertex AI. Discover how to craft effective prompts, guide generative AI output, and apply Gemini models to real-world marketing scenarios. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.
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In this course you will learn how to use the new generative AI features in Dialogflow CX to create virtual agents that can have more natural and engaging conversations with customers. Discover how to deploy generative fallback responses to gracefully handle errors and omissions in customer conversations, deploy generators to increase intent coverage, and structure, ingest, and manage data in a data store. And explore how to deploy and maintain generative AI agents using your data, and deploy and maintain hybrid agents in combination with existing intent-based design paradigms.
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As the use of enterprise Artificial Intelligence and Machine Learning continues to grow, so too does the importance of building it responsibly. A challenge for many is that talking about responsible AI can be easier than putting it into practice. If you’re interested in learning how to operationalize responsible AI in your organization, this course is for you.
In this course, you will learn how Google Cloud does this today, together with best practices and lessons learned, to serve as a framework for you to build your own responsible AI approach.
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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 7 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.
Applying Advanced LookML Concepts in Looker
Earned Apr 5, 2024 EDT
Prepare Data for Looker Dashboards and Reports
Earned Apr 1, 2024 EDT
Developing Data Models with LookML
Earned Mar 28, 2024 EDT
Analyzing and Visualizing Data in Looker
Earned Mar 26, 2024 EDT
Prompt Design in Vertex AI
Earned Mar 21, 2024 EDT
Conversational AI on Vertex AI and Dialogflow CX
Earned Mar 18, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned Mar 14, 2024 EDT
Introduction to Responsible AI
Earned Mar 14, 2024 EDT
Introduction to Large Language Models
Earned Mar 14, 2024 EDT
Introduction to Generative AI
Earned Mar 14, 2024 EDT