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This course is extremely fast paced and for students that have already had UNIX or Linux training, or have not worked with Linux in several months or years. This is NOT a course for students new to Linux and assumes the student requires a refresher before progressing through high end security courses that require dexterity on Linux. RedHat and Ubuntu, VMware Virtual Machines, and BackTrack are used for the instruction of this course. The student will acquire the skills to easily navigate the advanced VMware training environment and will be able to create scripts to manipulate and manage Linux. The ulimate goals of the skills of this course is to provide the student the ability to automate through scripting BackTrack tools for offensive security, forensics, and defense.
Attendees to L-395: Accelerated Linux Administration and Utilities will receive TechNow approved course materials and expert instruction.
Date/Locations:
No Events
Duration: 5 days
Course Objectives:
Day 1 and 2: Unix Review and Unix Utilities
Linux File System Archictecure and In-Depth discussion of Hard and Soft Links
Linux File, Directory, and Permissions Management
Linux archives using tar and zip
Interacting with BASH
Review of Common Linux commands
Sorting files by line or field
Regular Expressions (meta character) with grep commands to locate specific lines in files
Grep, egrep extended metacharacters, combinations-lab advanced combinations- lab Sed
Performing non-interactive editing tasks with the sed command
Writing simple sed scripts to perform complex editing tasks
Using awk variables & arrays to sort data
Employing awk programs to manipulate numeric & textual data
Performing formatted printing in awk
Writing simple awk programs to write reports from data files
Using built-in awk functions & defining new functions
Write awk programs that make decisions based on numeric or string comparisons (branches & loops)
Day 3 – Intro to Programming / Shell Scripting
Shell Review
Shell Interpretation of Quotes & Backslash
The Bash Shell
Shell's combined with UNIX utilities
Programming Basics
Data Constructs
Programming Looping
Your Environment
More on Parameters
Day 4 and 5 – Security Fundamentals, Linux Administration
System Configuration / Kernel overview
System Maintenance / Disk and file admin
Using utilities for process control, locating files & automating maintenance tasks
System Startup / Boot Process – LILO & GRUB Configuration
Managing the Linux file system
Customization of setup files
Run Levels
Network Services / Configuration
User Management Monitoring, accessing & restricting root system access
Administration Tools
Process Control
Client side components of NFS, Samba, NTP, NIS
Server side components such as DHCP, Samba, NIS, LDAP, inet, telnet, ftp, DNS, etc.
Prerequisites:
Prior UNIX/Linux experience or training
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This five-day instructor-led course provides IT professionals with the knowledge and skills required to Support and Troubleshoot Windows 11 PCs and devices in an on-premises Windows Server Active Directory domain environment.
Attendees to TN-5320: Supporting and Troubleshooting Windows 11 will receive TechNow approved course materials and expert instruction.
Dates/Locations:
No Events
Duration: 5 Days
Course Objectives:
Describe the processes involved in planning and using a troubleshooting methodology for Windows 11
Troubleshoot startup issues and operating system services on a Windows 11 PC
Perform system recovery
Resolve issues related to hardware devices and device drivers
Administer Windows 11 devices
Troubleshoot issues related to network connectivity
Configure Windows 11 devices by using Group Policy
Configure and troubleshoot user settings
Configure and troubleshoot resource access
Implement remote connectivity
Deploy and troubleshoot applications
Maintain Windows 11 devices
Prerequisites:
Networking fundamentals, including Transmission Control Protocol /Internet Protocol (TCP/IP), User Datagram Protocol (UDP), and Domain Name System (DNS).
Microsoft Active Directory Domain Services (AD DS) principles.
Understanding of the Public Key Infrastructure (PKI) components.
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.
