Course Overview:

This course is designed for professionals that are expected to do malware analysis. A skills focus enables the student to better absorb the subject matter and perform successfully on the job.   This is not death by power point. The course is aligned with information assurance operators and executing hands-on labs. Lecture and labs walk the student through the knowledge required to truly understand the mechanics Reverse Engineering Malware.

Attendees to TN-999: Reverse Engineering Malware will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Duration: 5 days

Course Objectives:

  • Toolkit and Lab Assembly
  • Malware Code and Behavioral Analysis Fundamentals
  • Malicious Static and Dynamic Code Analysis
  • Collecting/Probing System and Network Activities
  • Analysis of Malicious Document Files
  • Analyzing Protected Executables
  • Analyzing Web-Based Malware
  • DLL Construction and API Hooking
  • Common Windows Malware Characteristics in x86 Assembly
  • Unpacking Protected Malware
  • In-Depth Analysis of Malicious Browser Scripts, Flash Programs and Office
  • In-Depth Analysis of Malicious Executables
  • Windows x86 Assembly Code Concepts for Revers-Engineering Memory Forensics for Rootkit Analysis

Prerequisites:

  • Strong understanding of core systems and network concepts
  • Exposure to programming and assembly concepts
  • Comfortable with command line access

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User: marcus.osullivan

Instructor comments: Good stuff. I like the beginning half where there was help from an additional instructor to facilitate fixing computer errors that inevitably popped up.

Facilities comments: The baby deer were neat! I like the resort.


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Course Overview:

This course explores the VMware Infrastructure and related security, which consists of VMware ESX Server & VMware Virtual Center Server. We will look at both the design environments and operational processes of the VMware Infrastructure including security. This course provides IT architects with the insight needed to tackle tough issues in server virtualization such as virtual machine technologies, storage infrastructure, and designing clustered environments with security practices included. Extensive hands-on labs provide for a rich student experience.

Hypervisors and their supporting environment require attention to security due to the aggregated risk of hosting multiple virtual servers. This course explores the security of virtualized environments. Student configure ESXi by learning to manage the security and risk between ESXi, virtual servers and security integration of ESXi to the physical network infrastructure including appropriate segregation from other sensitive networks and management networks. How to configure virtual networks when some hosts are dual or multi homed, but internally segregate between the two or more connected networks with different security levels. Appropriate integration of zero-clients and thin clients. Configuration of defensive measures on hosts, servers, hypervisors within the virtual environment and practices for those guarding it externally. Integration of Active Directory and other AAA/CIA related services relative to a virtualized environment.

Students are also walked through DoD ESXi Security Technical Implementation Guide (STIG). Introduction to the impact of Intel Trusted Execution Technology integrated with ESXi to create a trusted platform for virtual machines. Additionally the instructor walks the students through NIST Special Publication 800-125A: Security Recommendations for Hypervisor Deployment on Servers, and NIST Special Publication 800-125B: Secure Virtual Network Configuration for Virtual Machine (VM) Protection.

Attendees to “VM-345: VMware Infrastructure Security: VMware Install, Configure, and Manage with Security Objectives” will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

• Virtual Infrastructure Overview
• ESX and ESXi Server Installation
• Configuration of Networking, Scalability and Security
• Storage
• Install and Configure vCenter Server and Components
• Creation, Deployment, Management, and Migration of Virtual Machines
• Utilize vCenter Server for Resource Management
• Utilize vCenter Server for Virtual Machine Access Control and User Managment
• Use vCenter Server to increase scalability
• Monitoring Your Environment
• Data & Availability Protection Troubleshooting
• Use VMware vCenter Update Manager to apply ESXi patches
• Use vCenter Server to manage vMotion, HA, DRS and data protection.

Course Overview:

The Implementing Cisco Enterprise Wireless Networks (ENWLSI) course gives you the knowledge and skills needed to create a secure wireless network infrastructure and troubleshoot any related issues. You’ll learn how to implement and fortify a wireless network infrastructure using Cisco Identity Service Engine (ISE), Cisco Prime Infrastructure (PI), and Cisco Connect Mobile Experience to monitor and troubleshoot network issues.

Attendees to N-515: Implementing Cisco Enterprise Wireless Network (ENWLSI) will receive TechNow approved course materials, expert instruction, and prepare you to take the 300-430 Implementing Cisco Enterprise Wireless Networks (ENWLSI) exam, which is part of the CCNP® Enterprise certification and the Cisco Certified Specialist – Enterprise Wireless Implementation certification.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • Implement network settings to provide a secure wireless network infrastructure
  • Implement a secure wireless client and troubleshoot wireless client connectivity issues
  • Implement and troubleshoot QoS in wireless networks
  • Implement and troubleshoot advanced capabilities in wireless network services

Prerequisites:

 

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Course Overview:

C-225: C++ Object Oriented Programming is a hands-on course that provides a complete introduction to the ANSI Standard C++ programming language, focusing on quickly developing the practical skills needed to create real-world solutions.  Our hands-on labs are designed to promote retention and challenge students to apply their skills to new situations.

C++ is more than just C with classes.  It is a whole new language with a structure similar to C, but with significant differences to warrant a complete course to cover its features.

Attendees to C-225: C++ Oriented Programming will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • Classes
  • Casting in C++
  • Constructors & Destructors
  • Class Methods & Data
  • Inheritance
  • Overloaded Functions
  • Virtual Functions
  • Overloaded Operators
  • Pure Virtual Functions
  • Exception Handling
  • References & Constants
  • Standard Template Library
  • New and Delete
  • STL Containers

Prerequisites:

 

Comments

Latest comments from students


User: christinehejnal

Instructor comments: The material was made clear, however I don't agree that she shouldn't have catered towards the people not taking the exam.

Facilities comments: The facilities were cold and very noisy, I found it hard to concentrate.


User: mamacker1

Instructor comments: Informative instructor. Definitely not monotone. I'd recommend it to my sister if I had one.


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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.