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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

9. November 2022

da Agency

Samsung upskills their Big Data Center teams to transform business

Samsung Electronics, one of the world’s largest manufacturers of smartphones, TV’s, home appliances and electronic devices, recently launched their Big Data Center (BDC) to improve the use of big data in development, marketing, and product sales. Samsung also focused on maximizing the value of their existing data by creating a data hub platform to harness and streamline big data resources enabling a boost in their internal analysis and forecasting capabilities. These initiatives all support Samsung’s long-term transformation goal to become a data-driven organization where data drives actionable decisions. Due to Covid-19 impacts, BDC employees had limited in-person training and learning opportunities which also affected their ability to drive data center optimization. This prompted Samsung to creatively determine the best, most expedient route to ensure their teams could attend world-class training. Samsung did this whilst staying focused on their primary objective of maximizing the high capacity of the BDC, and upskilling employees to the most cutting-edge technologies and trends. Hundreds of employees team together in the BDC to design innovative, enterprise-level data utilization environments. This team includes a diverse set of technical expertise including back-end developers, cloud architects, data engineers, data scientists, machine learning engineers, privacy and security experts, strategists, and planners. Samsung preferred to secure a tailored-approach for the desired curriculum and educational experience in order to satisfy their diverse learning needs. With significant experience and expertise in delivering learning across multiple skill sets and delivery formats, the Google Cloud Customer Experience services was the key that enabled and guided Samsung to a successful learning process with data center optimization. Google Cloud Learning services and Customer Care services were engaged to meet their learning and data center optimization objectives. Initially the Learning services team proposed a project to nurture Google Cloud champions within the BDC team by utilizing the on-demand training program including Google Cloud Skills Boost hands-on training and Google Cloud courses available on Coursera. The selected courses were intentionally designed to cover a wide range of product solutions including AI Platform, BigQuery, Cloud Composer, Cloud Dataflow, Compute Engine, and Pub/Sub. In addition, Samsung leveraged Google Cloud’s enterprise-level support service, known as Premium Support to further extend their technical capabilities while meeting the learning needs of BDC employees. Samsung had previously chosen to expand their Technical Account Management capability with the addition of Value-Add Services ensuring that multiple Technical Account Managers (TAMs) were engaged. With proactive collaboration between BDC employees and the dedicated team of TAMs, who arrived with customer-aware knowledge driven insight and guidance, each phase of the prescribed learning program was enabled to deliver the desired tailored development and implementation. Premium Support services was the layer that also ensured that the learning program suited both the immediate needs of BDC employees and the larger enterprise-wide initiatives to foster and drive digital transformation.The learning program produced successful results in two dynamic paths. First, Samsung satisfied their employees’ thirst for continuous learning by upskilling existing skills with on-demand access and customized learning curriculum. Additionally to reinforce the advantages gained from the cloud learning program, the TAM team organized a Google Kaggle Hackathon (GKH) enabling learning participants to gain and demonstrate new proficiencies with tools such as VertexAI, BigQuery, and BigQuery ML in a competition format. The second result included Samsung extending their data center productivity and capabilities to optimize capacity of the BDC with Premium Support services. With tailored guidance from their Premium Support TAM team, Samsung effectively cultivated technical and digital transformation across their business. The BDC employees welcomed the diverse, interactive opportunities to expand their education, and many have directly or indirectly improved their work performance by completing the courses. “Employees are highly satisfied by providing high-quality and diverse educational opportunities. Thanks to this, we won the Samsung Culture Index at the end of the year.” —Wooseung Jang, Corporate EVP, Head of Big Data Center, Samsung ElectronicsThe flexibility of the on-demand Google Cloud Learning services and Premium Support services ensured that the BDC team participated in an innovative learning program in a manner that did not disrupt broader business operations and efficiencies. In fact, the BDC has already experienced a significant increase in their monthly recurring revenue stemming from the more robust operational efficiencies and the resulting employee innovations. Samsung successfully launched their enterprise data hub, with plans to expand and create a Big Data Center in America in the near future.Their educational program is also gaining momentum, with a five-times increase in participants in one year. Currently, over 100 BDC employees participate in Google Cloud training through on-demand courses offered on Coursera, with plans to expand this program to hundreds of employees in data analytics and machine learning next year. By ensuring their employees’ skill sets are optimized, Samsung has gained reassurance that their Big Data Center will remain optimized for continued innovation to perform at the highest levels.To learn more about how Google Cloud Customer Experience services can support your organization’s talent transformation journey, visit: Customer Care Premium Support to empower business innovation with expert-led technical guidance and support Google Cloud Training & Certification to expand and diversify your team’s cloud education
Quelle: Google Cloud Platform