Upskill for in-demand cloud roles with no-cost training on Coursera

Cloud technology has experienced accelerated adoption in recent years, with continued growth expected into 2023.1  This means that the need for organizations to attract and retain professionals with cloud skills continues to grow in parallel.2  Keep your cloud career growing, at pace with digital transformation In partnership with Google Cloud, Coursera is offeringno-cost access to some of our most popular cloud training to help you hone your skills and stand out in the job-market. Whether you’re looking to enhance your technical competencies, advance your career, acquire more hands-on experience, or earn learning credentials to validate your knowledge, we have resources available to support your journey. Future-proof your career with select no-cost training and earn certificatesClaim one choice from a variety of popular Google Cloud Projects, Professional Certificates, Specializations and courses, available to claim until December 31st, 2022. The Google Cloud training included in this promotion spans a variety of roles, like machine learning engineering; data engineering; and cloud engineering, architecture and security. Training content is available for both technical and non-technical roles, from foundational to advanced knowledge and experience levels. The training descriptions include any prerequisite knowledge you should have before getting started.The time requirements for completion also vary, so we’ve summarized it below to help you make your choice, and pick the level of commitment that is right for you. When you finish the training on Coursera, you will earn a certificate that you can share with your network on social media and your resume. Types of Google Cloud training available on Coursera Here is a rundown of the different types of training available on Coursera included in this offer, in order of time required to complete it:Projects: Approximately 30-90 minute time commitment to completeLearn new skills in an interactive environment by using software and tools in a cloud workspace with no download required.Courses: Approximately 4-19 hour time commitment to completeCourses typically include a series of introductory lessons, step-by-step hands-on exercises, Google knowledge resources, and knowledge checks. Specializations: Approximately 2-6 months time commitment to completeSpecializations are a series of courses that help you master a skill, and include a hands-on project. Professional Certificates: Approximately 1-9 months Professional Certificates include hands-on projects and courses, and upon completion you will earn a Professional Certificate. These can help you prepare for the relevant Google Cloud certification exam. Here is a look at some of our most popular training for in-demand cloud rolesWork through training at your own pace, and upskill for the role you’re in, or the one you’re looking to grow into. Popular training for in-demand roles include:For those in non-technical roles, working closely with cloud technology Professional Certificate – Cloud Digital Leader This is a foundational level series of four courses designed to give you knowledge about cloud technology and data, and digital transformation. It helps increase confidence in contributing to cloud-related business initiatives and discussions. If you’re in a tech-adjacent role such as sales, HR or operations, you will benefit from this training. For Application Developers Specialization – Developing applications with Google CloudThis Specialization is built for application developers who want to learn how to design, develop, and deploy applications that seamlessly integrate managed services from Google Cloud. It includes a variety of learning formats, including labs, presentations and demos. Labs can be completed in your preferred language: Node.js, Java, or Python. You’ll learn practical skills that are ready for immediate use in real IT environments.For experienced ML and AI Engineers Professional Certificate – ML EngineerPrepare for Google Cloud Certification with the Machine Learning Engineer Professional Certificate. This is an intermediate-level training recommended for participants who have data engineering or programming experience, and who want to learn how to apply machine learning in practice and to be successful in a machine learning role. There are 9 courses in this Professional Certificate, and completion time is about 7 months at the suggested pace of 5 hours per week. For beginners with Google Cloud in technical rolesCourse – Google Cloud Fundamentals for AWS ProfessionalsThis course introduces key concepts and terminology through a combination of videos and hands-on labs that can be completed in approximately 9 hours. You’ll learn about the components of the Google network infrastructure and differences between infrastructure as a service and platform as a service; how to organize projects and interact with Google Cloud; and jump into Google Cloud Compute Engine with a focus on virtual networking. For beginners in Data Engineering Project – Introduction to SQL for BigQuery and Cloud SQLThis is a self-paced lab that takes place in the Google Cloud console, giving you interactive practice running structured queries on BigQuery and Cloud SQL. This is a beginner level project that takes about an hour to complete.As the year comes to a close, it’s a great time to prioritize growing your cloud skills. Check out our no-cost Google Cloud training offers on Coursera, available until December 31, 2022.1. According to Forbes: The Top 5 Cloud Computing Trends in 20232. According to Forbes: From Crisis to Opportunity: Tackling the U.S. Cloud Skills GapRelated ArticleBuild your cloud skills with no-cost access to Google Cloud training on CourseraAdvance your technical skills and boost your career by getting hands-on practice with Google Cloud projects.Read Article
Quelle: Google Cloud Platform