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Pallavi Sama

Member since 2022

Gold League

11460 points
Accelerate Knowledge Exchange with Gemini Enterprise Earned Apr 4, 2025 EDT
Build a Certification Study Guide: PMLE Earned Jan 30, 2025 EST
Google Cloud Fundamentals: Core Infrastructure Earned Jan 22, 2025 EST
[CEPF L300 Course]: Data Analytics Earned Apr 16, 2024 EDT
Organize and Govern Data with Knowledge Catalog Earned Feb 21, 2024 EST
Introduction to Generative AI Earned Jul 10, 2023 EDT
DEPRECATED Cloud Architecture Earned Apr 2, 2022 EDT
Google Cloud Essentials Earned Mar 17, 2022 EDT

Unite Google’s expertise in search and AI with Gemini Enterprise, a powerful tool designed to help employees find specific information from document storage, email, chats, ticketing systems, and other data sources, all from a single search bar. The Gemini Enterprise assistant can also help brainstorm, research, outline documents, and take actions like inviting coworkers to a calendar event to accelerate knowledge work and collaboration of all kinds. (Please note Gemini Enterprise was previously named Google Agentspace, there may be references to the previous product name in this course.)

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Learn how to use Gemini Notebook to create a personalized study guide for the Professional Machine Learning Engineer (PMLE) certification exam. You'll review Gemini Notebook features, create a notebook, and use the study guide to practice for a certification exam.

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Google Cloud Fundamentals: Core Infrastructure introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.

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This Data Analytics course consists of a series of advanced-level labs designed to validate your proficiency in using Google Cloud services. Each lab presents a set of the required tasks that you must complete with minimal assistance. The labs in this course have replaced the previous L300 Data Analytics Challenge Lab. If you have already completed the Challenge Lab as part of your L300 accreditation requirement, it will be carried over and count towards your L300 status. You must score 80% or higher for each lab to complete this course, and fulfill your CEPF L300 Data Analytics requirement. If a green upgrade banner appears at the top of the page, follow the prompts to upgrade before continuing. If no banner is shown, you are already on the latest version. Required Labs: You only need to complete the labs marked as 'Required' to complete the course. Optional labs have no tag next to their titles; while recommended, they are not required. For technical issues with a Challenge Lab,…

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Complete the introductory Organize and Govern Data with Knowledge Catalog skill badge to demonstrate skills in the following: creating Knowledge Catalog assets, creating aspect types, and applying aspects to entries in Knowledge Catalog.

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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 fundamental-level quest is unique amongst the other quest offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Cloud Architect Certification. From IAM, to networking, to Kubernetes engine deployment, this quest is composed of specific labs that will put your Google Cloud knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, we recommend that you also review the exam guide and other available preparation resources.

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In this introductory-level course, you get hands-on practice with the Google Cloud’s fundamental tools and services. Optional videos are provided to provide more context and review for the concepts covered in the labs. Google Cloud Essentials is a recommendeded first course for the Google Cloud learner - you can come in with little or no prior cloud knowledge, and come out with practical experience that you can apply to your first Google Cloud project. From writing Cloud Shell commands and deploying your first virtual machine, to running applications on Kubernetes Engine or with load balancing, Google Cloud Essentials is a prime introduction to the platform’s basic features.

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