In April, we announced we were expanding our Google Cloud learning resources to support the growing number of people working and learning from home. Today, we are excited to announce that if you sign up by May 31, 20201, you can still enroll in Google Cloud training on both Pluralsight and Qwiklabs at no cost for 30 days—here’s where you can get started.If you’re new to Google Cloud, we recommend our five-hour introductory-level series of labs, Google Cloud Essentials. These labs will give you a tour of Google Cloud and help you familiarize yourself with basic cloud concepts such as virtual machines on Google Compute Engine, containerized applications with Kubernetes Engine, network load balancers, and HTTP load balancers. To get started, register here and select Qwiklabs.If you’re ready to dive even deeper into cloud, Pluralsight offers a full breadth of video-based Google Cloud learning paths, courses, and skills assessments. To help you pick your path, we’ve recommended below three in-demand skills you can start learning over the next 30 days at no cost on Pluralsight. To get started, register and select Pluralsight here to receive a special access link via email. Once you set up your Pluralsight account, you can search for any of the learning paths mentioned in this post from the Pluralsight catalog. Build your data analytics expertise According to McKinsey research, almost 60% of businesses find it harder to source talent for data and analytics positions than any other roles. The Data Analytics on Google Cloud learning path helps you build these much-needed skills, teaching you to explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. You’ll also dig deeper into data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. This 13-hour learning path includes four courses which are a combination of hands-on labs and lectures. We recommend you have some prior experience with ANSI SQL before taking this learning path.Do some learning on machine learning The global machine learning market is expected to grow almost 44% from 2019 to 2025, making these skills relevant for any technical professional. The Machine Learning on Google Cloud learning path will allow you to experiment with end-to-end machine learning, starting from building a machine learning-focused strategy and progressing into model training, optimization, and production with hands-on labs using Google Cloud. This 17-hour learning path includes five courses with interactive hands-on labs and lectures. Anyone with knowledge of querying with SQL and programming in Python can take this learning path.Sharpen your Kubernetes skillsGoogle Kubernetes Engine (GKE) is a managed, production-ready environment for running containerized applications that’s trusted by businesses all over the world. The Architecting with Google Kubernetes Engine learning path will teach you how to implement solutions using GKE by building, scheduling, load balancing, and monitoring workloads. You’ll also learn to manage role-based access control and security, as well as provide persistent storage to these applications. This 10-hour learning path consists of four courses that have a mix of presentations, demos, and hands-on labs. To get the most from this training, we recommend you have experience with virtual machines, networks, storage in the cloud as well as experience with developing, deploying, and monitoring in the cloud. If you’d like to gain more experience before taking Architecting with Google Kubernetes Engine, you can take the three-hour Google Cloud Platform Fundamentals: Core Infrastructure course on Pluralsight. Ready to strengthen your cloud skills with Google Cloud training? Register here and claim your training offers by May 31 to get your free 30-days access on Qwiklabs and Pluralsight.1. Your 30-days access to Google Cloud training at no cost starts when you enroll for your courses. These offers are valid until May 31, 2020. After your 30-days, you will incur charges on Pluralsight; for Qwiklabs, you will need to purchase credits to continue taking labs.
Quelle: Google Cloud Platform
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