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ANKUR GUPTA

Member since 2021

Silver League

6950 points
Text Prompt Engineering Techniques Earned أغسطس 27, 2024 EDT
Generative AI for Business Leaders Earned أغسطس 27, 2024 EDT
Introduction to Vertex AI Studio Earned سبتمبر 25, 2023 EDT
Generative AI Explorer : Vertex AI Earned سبتمبر 9, 2023 EDT
Introduction to Image Generation Earned سبتمبر 9, 2023 EDT
Responsible AI: Applying AI Principles with Google Cloud Earned سبتمبر 9, 2023 EDT
Generative AI Fundamentals Earned سبتمبر 9, 2023 EDT
Introduction to Responsible AI Earned سبتمبر 9, 2023 EDT
Introduction to Large Language Models Earned سبتمبر 9, 2023 EDT
Introduction to Generative AI Earned سبتمبر 9, 2023 EDT
Version Control and Caching Earned ديسمبر 23, 2021 EST
Building Reports in Looker Earned ديسمبر 23, 2021 EST
Delivery Shadowing Earned ديسمبر 23, 2021 EST
Case Studies Earned ديسمبر 23, 2021 EST
Technology + Beyond the UI Earned ديسمبر 23, 2021 EST
Technology + Within the UI Earned ديسمبر 23, 2021 EST
Table Calculations, Pivots, and Visualizations Earned ديسمبر 23, 2021 EST
Liquid Templates and Parameters Earned ديسمبر 23, 2021 EST
Extends to Keep LookML DRY Earned ديسمبر 23, 2021 EST
Admin Roles and Folder Access Earned ديسمبر 23, 2021 EST
The Modern Data Platform and LookML Earned ديسمبر 23, 2021 EST
Driving Data Culture and Designing Dashboards Earned ديسمبر 23, 2021 EST
Achieving Business Outcomes with Looker Earned ديسمبر 23, 2021 EST
Looker Explained Earned ديسمبر 23, 2021 EST
Understanding LookML in Looker Earned أكتوبر 13, 2021 EDT

Text Prompt Engineering Techniques introduces you to consider different strategic approaches & techniques to deploy when writing prompts for text-based generative AI tasks.

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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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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 content is deprecated. Please see the latest version of the course, here.

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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.

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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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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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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 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.

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This course aims to introduce you to the basic concepts of Git: what it is and how it's used in Looker. You will also develop an in-depth knowledge of the caching process on the Looker platform, such as why they are used and why they work

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This course is designed for Looker users who want to create their own ad-hoc reports. It assumes experience of everything covered in our Get Started with Looker course (logging in, finding Looks & dashboards, adjusting filters, and sending data)

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In this course, you shadow a series of client meetings led by a Looker Professional Services Consultant.

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By the end of this course, you should feel confident employing technical concepts to fulfill business requirements and be familiar with common complex design patterns.

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In this course you will discover additional tools for your toolbox for working with complex deployments, building robust solutions, and delivering even more value.

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Develop technical skills beyond LookML along with basic administration for optimizing Looker instances

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This course reviews the processes for creating table calculations, pivots and visualizations

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In this course you will discover Liquid, the templating language invented by Shopify and explore how it can be used in Looker to create dynamic links, content, formatting, and more.

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Hands on course covering the main uses of extends and the three primary LookML objects extends are used on as well as some advanced usage of extends.

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This course is designed to teach you about roles, permission sets and model sets. These are areas that are used together to manage what users can do and what they can see in Looker.

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This course provides an introduction to databases and summarized the differences in the main database technologies. This course will also introduce you to Looker and how Looker scales as a modern data platform. In the lessons, you will build and maintain standard Looker data models and establish the foundation necessary to learn Looker's more advanced features.

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This course provides an iterative approach to plan, build, launch, and grow a modern, scalable, mature analytics ecosystem and data culture in an organization that consistently achieves established business outcomes. Users will also learn how to design and build a useful, easy-to-use dashboard in Looker. It assumes experience with everything covered in our Getting Started with Looker and Building Reports in Looker courses.

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In this course, we’ll show you how organizations are aligning their BI strategy to most effectively achieve business outcomes with Looker. We'll follow four iterative steps: Plan, Build, Launch, Grow, and provide resources to take into your own services delivery to build Looker with the goal of achieving business outcomes.

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By the end of this course, you should be able to articulate Looker's value propositions and what makes it different from other analytics tools in the market. You should also be able to explain how Looker works, and explain the standard components of successful service delivery.

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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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