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
The CT-325: Security+ (SY0-701) class is the primary class you will need to take if your job responsibilities include securing network services, network devices, and network traffic. It will also help you prepare for the CompTIA Security+ examination (exam number SY0-701). In the CT-325: Security+ class you’ll build on your knowledge and professional experience with computer hardware, operating systems, and networks as you acquire the specific skills required to implement basic security services on any type of computer network. Let us help you prepare for the CompTIA Security+ exam (SY0-701).
TechNow is a CompTIA partner and uses official CompTIA Security+ curriculum.
Attendees to CT-325: Security+ will receive TechNow approved course materials and TechNow expert instruction.
Windows 7/8/10 and Server 2008/2012/2016 experience required.
Six to nine months experience in networking, including experience in configuring & managing TCP/IP.
Comments
Latest comments from students
User: joshjepsen@hotmail.com
Instructor comments: Instructor was very knowledgeable on all the course content. There were some instances when I felt he streamlined through some of the material too quickly, such as going over how to identify types of attacks.
TechNow has been involved in enterprise security architectures and education since 1990. TechNow’s training program has followed the evolution of enterprise computing into security architectures. Palo Alto Networks represents the current state of security product evolution. With next generation firewall technology, the reunification of your security architecture is possible. TechNow can present the ramifications of many centralized strategies. All courses utilize enterprise security professionals with experience as instructors and can discuss the detail of implementation and the integration into an existing infrastructure.
TechNow is a mobile Pearson VUE Authorized Testing Center. Palo Alto courses can be delivered on the customer site, with certificadtion testing on the last day of the course. Take the course and get certfied, without logistical effort of getting students to a training facility and the hassle of scheduling testing.
Increase your credibility, job security, and career opportunities by reaching your goal and getting certified! TechNow offers many CompTIA bootcamp style courses in which we administer an exam on the last day of class. We have a proven testing program that will get you the results you want!
CompTIA SecAI+ is the first certification in CompTIA’s expansion series, designed to help you secure, govern and responsibly integrate artificial intelligence into your cybersecurity operations. You’ll build the skills to defend AI systems, meet global compliance expectations and use AI to enhance threat detection, automation and innovation—so you can strengthen your expertise and help keep your organization’s systems and data secure.
SecAI+ helps you build practical AI security and automation skills on top of your existing expertise, so you can secure AI deployments, use AI‑assisted security tools with confidence, and stay ready for the next step in your cybersecurity career.
Course Objectives:
Apply AI concepts to strengthen your organization’s cybersecurity posture
Secure AI systems using advanced controls and protections to safeguard data, models, and infrastructure
Leverage AI technologies to automate workflows, accelerate incident response, and scale security operations
Navigate global GRC frameworks to ensure ethical and compliant AI adoption across industries
Defend against AI-driven threats like adversarial attacks, automated malware, and malicious use of generative AI
Integrate AI securely into DevSecOps pipelines and enterprise security strategies.
Dates/Locations:
No Events
Prerequisites: Recommended experience: 3–4 years in IT and 2+ years hands-on cybersecurity; Security+, CySA+, PenTest+, or equivalent recommended
SecAI+ (V1) exam objectives summary
Basic AI concepts related to cybersecurity (17%)
Explain core AI principles and terminology: Machine learning, deep learning, natural language processing, and automation.
Identify AI applications in security: Use cases for AI in threat detection, defense, and security operations.
Recognize AI-driven threats: Automated phishing, polymorphic malware, adversarial machine learning, and malicious use of generative AI.
Securing AI systems (40%)
Implement security controls: Protect AI systems, data, and models using robust technical safeguards.
Secure AI deployment environments: Apply best practices across on-premises, cloud, and hybrid infrastructures.
Mitigate adversarial risks: Defend against attacks targeting AI models, data pipelines, and inference layers.
AI-assisted security (24%)
Enhance detection and response: Use AI-driven tools to identify anomalies, detect threats, and accelerate incident remediation.
Automate security workflows: Integrate AI for event triage, alert correlation, and response orchestration.
Apply AI techniques in operations: Incorporate AI into threat modeling, behavior analysis, and continuous monitoring.
AI governance, risk, and compliance (19%)
Understand regulatory frameworks: Identify global governance requirements and their implications for AI adoption.
Integrate GRC into AI projects: Incorporate governance, risk management, and compliance practices throughout the AI lifecycle.
Ensure responsible AI use: Apply ethical guidelines, legal standards, and industry frameworks such as GDPR and NIST AI RMF.