جمع جزء: 278,000 تومان
- × 1 عدد: آموزش بهبود App تان بوسیله Monitoring, Performance, and Scaling - 139,000 تومان
- × 1 عدد: Google Cloud Platform Big Data and Machine Learning Fundamentals - 139,000 تومان
If you want to match the scale and speed required to meet customers’ expectations, you need to make sure your infrastructure is fully up-to-date. Digital transformation has become essential in today’s hybridized business world, which means it’s time to take advantage of the cloud. In this course, explore the key benefits, challenges, and best practices of modernizing legacy IT infrastructure to transform your business with the power of Google Cloud.
Drive innovation by building your understanding of fundamental cloud concepts such as total cost of ownership, capital expenditures, configuration options, network support, and more. Along the way, learn how to use Google Cloud to implement a wide variety of cloud computing service models, including IaaS, PaaS, and SaaS. By the end of this course, you’ll be equipped with strategies for upholding your end of the shared responsibility model and fully securing your cloud-based infrastructure to meet customers’ needs.
Note: This course was created by Google. We are pleased to host this training in our library.
در این روش نیاز به افزودن محصول به سبد خرید و تکمیل اطلاعات نیست و شما پس از وارد کردن ایمیل خود و طی کردن مراحل پرداخت لینک های دریافت محصولات را در ایمیل خود دریافت خواهید کرد.
آموزش کدنویسی بر روی Google Cloud
فیلم یادگیری Hybrid Cloud Service Mesh with Anthos
آموزش جامع کار با کلود Anthos
Google Cloud Digital Leader Cert Prep 3: Infrastructure and Application Modernization with Google Cloud
آموزش استفاده از داده ها بدون ساختار بوسیله Cloud Dataproc فضای Google Cloud Platform
Google Cloud Platform Big Data and Machine Learning Fundamentals
آموزش انجام پروژه های بیگ دیتا و یادگیری ماشینی بر روی Google Cloud Platform
فیلم یادگیری Site Reliability Engineering: Measuring and Managing Reliability
Architecting with Google Kubernetes Engine: Foundations (C1)
Architecting with Google Kubernetes Engine: Production
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