Course one of a three course series to obtain a Server 2016 MCSA certification. This five-day course is designed primarily for IT professionals who have some experience with Windows Server. It is designed for professionals who will be responsible for managing storage and compute by using Windows Server 2016, and who need to understand the scenarios, requirements, and storage and compute options that are available and applicable to Windows Server 2016.
The course leads directly to preparing for the(MCSA):Windows Server 2016 exam “70-740: Installation, Storage, and Compute with Windows Server 2016”. It also maps to Microsoft’s course 20740A, and is part of the Server 2016 MCSA certification.
Attendees to TN-5415: Installation, Storage, and Compute with Window Server 2016 will receive TechNow approved course materials and expert instruction.
Dates/Locations:
No Events
Duration: 5 Days
Course Objectives:
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, 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
Prerequisites:
A basic understanding of networking fundamentals
An awareness and understanding of security best practices
An understanding of basic AD DS concepts
Basic knowledge of server hardware
Experience supporting and configuring Windows client operating systems such as Windows 10
Through an introduction to Docker, Kubernetes, and Red Hat OpenShift Platform, this training course helps you understand one of the key tenets of the DevOps and DevSecOps Platform (DSOP) movement: continuous integration and continuous deployment. The CI/CD pipeline becomes well understood and implemented in an open architecture. Containers have become a key technology for the configuration and deployment of applications and micro services. Kubernetes is a container orchestration platform that provides foundational services in Red Hat OpenShift Container Platform, which allows enterprises to manage container deployments and scale their applications using Kubernetes.
This training course provides an overview of the DoD Enterprise DevSecOps Platform (DSOP) Reference Design, its current state, and ties to DoD Cloud Platform One (P1). Workflows of the DoD Iron Bank container repository are introduced, along with an overview of the DoD Pipeline as represented in Big Bang. Continuous authorization cATO via Party Bus within NIST RMF is presented. You will become aware of the Platform One (P1) integrations and relationship to Docker, Kubernetes, Istio (Red Hat OpenShift Service Mesh) and Red Hat OpenShift Platform.
In addition to gaining an understanding of these tools, you will build core administration skills through the installation, configuration, and management of an OpenShift cluster and containerized applications.
Course Objectives:
Learn about Containers, Docker, Kubernetes, and OpenShift architecture
TechNow has been training IT, programming, and Cyber Security for over 28 years. To stay competitive and to adequately secure an enterprise, organizations need to move towards the DevOps Model. DevOps breaks down barriers between the developer and operations teams to improve collaboration and communication.
DevOps is radically changing the way organizations design, build, deploy, and operate online systems. Development and Operations teams come together to move requirements through a continuous workflow.
DevOps leaders deploy hundreds of changes every day, utilizing Continuous Integration and Continuous Delivery to leave their competitors behind. As DevOps becomes commonplace, organizations need to evolve their security practices to the DevOps Model.
Over twenty years experience in the area of Solaris, Linux, and Unix ensures that you are benefiting from a very mature and successful Solaris, Linux, and Unix training program. TechNow offers the full suite of Solaris, Linux, and Unix courses utilizing real hardware. This is not virtualized Solaris on Intel processors, or remote connection to a distant system. The student learns to deal with real hardware taking advantage of Sparc T series processors. Solaris 10 and Solaris 11 is taught hands-on with data center skills as the focus. We also offer Solaris 10 migration courses to Solaris 10 or Solaris 11.
The following is a list of our Unix/Linux training courses:
Artificial Intelligence Essentials (AIE) is a foundational AI literacy certification that builds practical understanding of AI and responsible use
The Artificial Intelligence Essentials (AIE) Course is designed to prepare learners for the newly Artificial Intelligence Essentials (AIE) exam. This hands-on program introduces professionals to core AI concepts, practical tools, and safe real-world applications. It equips learners to understand AI systems, use AI responsibly, and boost productivity across roles and industries
Participants will gain knowledge in understanding how AI systems work, where they are used, how they influence decision-making, and how they should be applied responsibly in everyday, professional, and organizational contexts. The course covers what AI is and what it is not, how data and models drive AI behavior, and how modern AI systems differ from traditional software. Learners develop the ability to interact effectively with AI tools, evaluate AI outputs with informed judgment, and apply responsible practices aligned with privacy, security, and global regulatory expectations.
By the end of the course, learners will be prepared to use AI confidently, safely, and productively while recognizing limitations, ethical risks, and broader societal impacts. It serves as a universal entry point before any technical, managerial, security, or governance specialization in AI.
