"Earning an MCSA: Windows Server 2016 certification qualifies you for a position as a network or computer systems administrator or as a computer network specialist, and it is the first step on your path to becoming a Microsoft Certified Solutions Expert (MCSE)." - Microsoft
This course is intended for IT professionals who have some experience working with Windows Server, and who are looking for a single five-day course that covers storage and compute technologies in Windows Server 2016. This course will help them update their knowledge and skills related to storage and compute for Windows Server 2016.
Candidates suitable for this course would be:
•Windows Server administrators who are relatively new to Windows Server administration and related technologies, and who want to learn more about the storage and compute features in Windows Server 2016.
•IT professionals with general IT knowledge who are looking to gain knowledge about Windows Server especially around storage and compute technologies in Windows Server 2016.
The secondary audience for this course are IT professionals looking to take the Microsoft 70-740 certification exam, Installation, Storage and Compute with Windows Server 2016.
-At course completion
-After completing this course, students will be able to:
-Prepare and install Nano Server, a Server Core installation, and plan a server upgrade and migration strategy.
-Describe the various storage options, including partition table formats, basic and dynamic disks, file systems, virtual hard disks, and drive hardware, and explain how to -manage disks and volumes.
-Describe enterprise storage solutions, and select the appropriate solution for a given situation.
-Implement and manage Storage Spaces and Data Deduplication.
-Install and configure Microsoft Hyper-V, and configure virtual machines.
-Deploy, configure, and manage Windows and Hyper-V containers.
-Describe the high availability and disaster recovery technologies in Windows Server 2016.
-Plan, create, and manage a failover cluster.
-Implement failover clustering for Hyper-V virtual machines.
-Configure a Network Load Balancing (NLB) cluster, and plan for an NLB implementation.
-Create and manage deployment images.
-Manage, monitor, and maintain virtual machine installations.
One of the main reasons why Python is widely used in the scientific and research communities is because of its ease of use and simple syntax which makes it easy to adapt for people who do not have an engineering background. It is also more suited for quick prototyping.
According to engineers coming from academia and industry, deep learning frameworks available with Python APIs, in addition to the scientific packages have made Python incredibly productive and versatile. There has been a lot of evolution in deep learning Python frameworks and it’s rapidly upgrading. It provides great libraries to deals with data science application. It cover following Modules.
• Data exploration & analysis.
• Data visualization.
• Classical machine learning.
• Deep learning.
• Data storage and big data frameworks
• Odds and ends.
We cover all the topics in deep theoretical and practical with projects.