Introduction to Large Language Models
Earned nov. 16, 2023 EST
Share Data Using Google Data Cloud
Earned sept. 12, 2023 EDT
Level 1: Sports Data
Earned sept. 12, 2023 EDT
Manage Data Models in Looker
Earned sept. 11, 2023 EDT
Perform Predictive Data Analysis in BigQuery
Earned sept. 8, 2023 EDT
Qwiklabs Trivia August 2023
Earned sept. 4, 2023 EDT
Create ML Models with BigQuery ML
Earned août 31, 2023 EDT
Cloud Architecture: Design, Implement, and Manage
Earned août 29, 2023 EDT
Implement DevOps Workflows in Google Cloud
Earned août 28, 2023 EDT
Set Up an App Dev Environment on Google Cloud
Earned août 4, 2023 EDT
Implementing Cloud Load Balancing for Compute Engine
Earned août 4, 2023 EDT
Level 2: Data Deep Dive
Earned juil. 19, 2023 EDT
Set Up a Google Cloud Network
Earned juil. 18, 2023 EDT
Secure BigLake Data
Earned juil. 18, 2023 EDT
Enrich Metadata and Discovery of BigLake Data
Earned juil. 18, 2023 EDT
Get Started with Sensitive Data Protection
Earned juil. 18, 2023 EDT
Analyze Images with the Cloud Vision API
Earned juil. 17, 2023 EDT
DEPRECATED Networking Fundamentals on Google Cloud
Earned juil. 16, 2023 EDT
The Basics of Google Cloud Compute
Earned juil. 16, 2023 EDT
Level 1: AppDev and Infrastructure
Earned juil. 16, 2023 EDT
Getting Started with Go on Google Cloud
Earned juil. 15, 2023 EDT
App Engine: 3 Ways
Earned juil. 15, 2023 EDT
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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Earn a skill badge by completing the Share Data Using Google Data Cloud skill badge course, where you will gain practical experience with Google Cloud Data Sharing Partners, which have proprietary datasets that customers can use for their analytics use cases. Customers subscribe to this data, query it within their own platform, then augment it with their own datasets and use their visualization tools for their customer facing dashboards.
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The beautiful game is changing, and data science is playing a big role. Teams are now using data to make better decisions about everything, from player recruitment to game strategy. We invite you to get hands-on experience on the fundamentals of sports data science no matter who you're cheering for! Use BigQuery ML to train advanced models to predict goals and evaluate performance. Learn new skills and get started towards earning your first Google Cloud Credential. No prior experience required.
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Complete the intermediate Manage Data Models in Looker skill badge course to demonstrate skills in the following: maintaining LookML project health; utilizing SQL runner for data validation; employing LookML best practices; optimizing queries and reports for performance; and implementing persistent derived tables and caching policies.
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Complete the intermediate Perform Predictive Data Analysis in BigQuery skill badge course to demonstrate skills in the following: creating datasets in BigQuery by importing CSV and JSON files; harnessing the power of BigQuery with sophisticated SQL analytical concepts, including using BigQuery ML to train an expected goals model on soccer event data and evaluate the impressiveness of World Cup goals.
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Welcome to Qwiklabs Trivia for August! Each week, we will release a new set of questions to test your knowledge. You will have opportunities to play throughout the month. Give your career a boost with hands-on experience on GCP and partner services and earn the August badge.
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Complete the intermediate Create ML Models with BigQuery ML skill badge to demonstrate skills in creating and evaluating machine learning models with BigQuery ML to make data predictions.
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Earn a skill badge by completing the Cloud Architecture: Design, Implement, and Manage to demonstrate skills in the following: deploy a publicly accessible website using Apache web servers, configure a Compute Engine VM using startup scripts, configure secure RDP using a Windows Bastion host and firewall rules, build and deploy a Docker image to a Kubernetes cluster and then update it, and create a CloudSQL instance and import a MySQL database. This skill badge is a great resource for understanding topics that will appear in the Google Cloud Certified Professional Cloud Architect certification exam.
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Complete the intermediate Implement DevOps Workflows in Google Cloud skill badge to demonstrate skills in the following: creating git repositories with Cloud Source Repositories, launching, managing, and scaling deployments on Google Kubernetes Engine (GKE), and architecting CI/CD pipelines that automate container image builds and deployments to GKE.
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Earn a skill badge by completing the Set Up an App Dev Environment on Google Cloud skill badge course, where you learn how to build and connect storage-centric cloud infrastructure using the basic capabilities of the following technologies: Cloud Storage, Identity and Access Management, Cloud Functions, and Pub/Sub.
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Complete the introductory Implementing Cloud Load Balancing for Compute Engine skill badge to demonstrate skills in the following: creating and deploying virtual machines in Compute Engine and configuring network and application load balancers.
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The demand for data skills is growing rapidly, and we want you to get ahead! According to a report by the McKinsey Global Institute, the demand for data scientists and analysts is expected to grow by 150% by 2025. There are a lot of different aspects to any data role, so it's important to start with the basics - and we’ve got you covered. Learn how to tap into ML APIs, dive into your first data lake, and learn how the experts think about securing data. No experience required.
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Earn a skill badge by completing the Set Up a Google Cloud Network skill badge course, where you will learn how to perform basic networking tasks on Google Cloud Platform - create a custom network, add subnets firewall rules, then create VMs and test the latency when they communicate with each other.
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Complete the introductory Secure BigLake Data skill badge course to demonstrate skills with IAM, BigQuery, BigLake, and Dataplex to create and secure BigLake tables.
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Complete the Enrich Metadata and Discovery of BigLake Data skill badge course to demonstrate skills in BigQuery, BigLake, and Dataplex Universal Catalog. You create BigLake tables and enrich metadata management and discovery of the table data.
En savoir plus
Complete the introductory Get Started with Sensitive Data Protection skill badge course to demonstrate skills in the following: using Sensitive Data Protection services (including the Cloud Data Loss Prevention API) to inspect, redact, and de-identify sensitive data in Google Cloud.
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Earn a skill badge by completing the Analyze Images with the Cloud Vision API quest, where you discover how to leverage the Cloud Vision API for various tasks, including extracting text from images.
En savoir plus
Earn a skill badge by completing the Networking Fundamentals on Google Cloud quest, where you learn how to work with VPC networks and load balancers on Google Cloud. 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, and the final assessment challenge lab, to receive a digital badge that you can share with your network.
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Earn a skill badge by completing the The Basics of Google Cloud Compute skill badge course, where you learn how to work with virtual machines (VMs), persistent disks, and web servers using Compute Engine.
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Demand for cloud-skilled workers is rising. According to a report by Indeed, cloud computing jobs are expected to grow by 22% over the next five years, much faster than the average for all occupations. Play now to get hands-on experience building with Google Cloud's powerful coding and infrastructure management tools. Each lab teaches and tests your growing tech skills, and sets you on the path to your first Google Cloud credential.
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Get started with Go (Golang) by reviewing Go code, and then creating and deploying simple Go apps on Google Cloud. Go is an open source programming language that makes it easy to build fast, reliable, and efficient software at scale. Go runs native on Google Cloud, and is fully supported on Google Kubernetes Engine, Compute Engine, App Engine, Cloud Run, and Cloud Functions. Go is a compiled language and is faster and more efficient than interpreted languages. As a result, Go requires no installed runtime like Node, Python, or JDK to execute.
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Earn a skill badge by completing the App Engine`:` 3 ways course, where you learn how to use App Engine with Python, Go, and PHP.
Introduction to Large Language Models
Earned nov. 16, 2023 EST
Share Data Using Google Data Cloud
Earned sept. 12, 2023 EDT
Level 1: Sports Data
Earned sept. 12, 2023 EDT
Manage Data Models in Looker
Earned sept. 11, 2023 EDT
Perform Predictive Data Analysis in BigQuery
Earned sept. 8, 2023 EDT
Qwiklabs Trivia August 2023
Earned sept. 4, 2023 EDT
Create ML Models with BigQuery ML
Earned août 31, 2023 EDT
Cloud Architecture: Design, Implement, and Manage
Earned août 29, 2023 EDT
Implement DevOps Workflows in Google Cloud
Earned août 28, 2023 EDT
Set Up an App Dev Environment on Google Cloud
Earned août 4, 2023 EDT
Implementing Cloud Load Balancing for Compute Engine
Earned août 4, 2023 EDT
Level 2: Data Deep Dive
Earned juil. 19, 2023 EDT
Set Up a Google Cloud Network
Earned juil. 18, 2023 EDT
Secure BigLake Data
Earned juil. 18, 2023 EDT
Enrich Metadata and Discovery of BigLake Data
Earned juil. 18, 2023 EDT
Get Started with Sensitive Data Protection
Earned juil. 18, 2023 EDT
Analyze Images with the Cloud Vision API
Earned juil. 17, 2023 EDT
DEPRECATED Networking Fundamentals on Google Cloud
Earned juil. 16, 2023 EDT
The Basics of Google Cloud Compute
Earned juil. 16, 2023 EDT
Level 1: AppDev and Infrastructure
Earned juil. 16, 2023 EDT
Getting Started with Go on Google Cloud
Earned juil. 15, 2023 EDT
App Engine: 3 Ways
Earned juil. 15, 2023 EDT