Course Overview:

The  UNIX Security Administrator Prep is a hands-on course that covers how to secure and audit UNIX and Linux operating systems. This includes concepts such as Rootkits, Buffer overflows, and monitoring UNIX/Linux systems.

Attendees to TN-959: Unix Security Administratorwill receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Duration: 5 days

Course Objectives:

  • AIDE
  • Apache
  • Best Practices for Kernel Tuning and Warning Banners
  • Boot Services
  • Chroot()
  • DNS- BIND
  • DNSSec
  • Evidence Collection and Preservation
  • Forensic Analysis
  • Forensic Preparation and Incident Handling
  • Host Based Firewalls – iptables
  • Intro to Forensics
  • OS Install and Patching
  • Physical, User Account, and Password Access Control
  • Se Linux
  • Sendmail
  • SSH
  • Stack Smashing
  • Sudo
  • Syslog-NG
  • UNIX Logging

Course Prerequisites:

  • GSEC or equivalent experience
  • UNIX, Windows, networking, and security experience
  • This is a hands-on skill course requiring comfort with command line interaction and network communications

 

Comments

Latest comments from students


User: wbcarter

Instructor comments: Good Stuff. Thanks!


User: ryuhas

Instructor comments: Very Good Instructor

Facilities comments: Facilities was great. Location had a lot to be desired. To much traffic and accidents trying to get here.


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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

Comments

Latest comments from students



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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TechNow provides an array of courses to meet our customer's requirements.  Courses that do not fit into our major course categories and custom or specialized courses appear here.  

Here are courses about specilaized Software or Hardware:

in   

Course Overview:

This course engages students by providing in-depth knowledge of the most prominent and powerful attack vectors and an environment to perform these attacks in numerous hands-on scenarios. This course goes far beyond simple scanning for low-hanging fruit, and shows penetration testers how to model the abilities of an advanced attacker to find significant flaws in a target environment and demonstrate the business risk associated with these flaws.

Attendees to TN-919:Penetration Tester course will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Course Duration: 5 days

Course Objectives:

  • Advanced Hash Manipulation
  • Command Shell vs. Terminal Access
  • Enumerating Users
  • Exploitation Fundamentals
  • Injection Attacks
  • Legal Issues
  • Metasploit
  • Moving Files with Exploits
  • Obtaining and Passing Password Representations
  • Overview of Passwords
  • Penetration Testing Foundations
  • Penetration Testing Process
  • Penetration Testing via the Command Line
  • Profiling the Target
  • Reconnaissance
  • Scanning for Targets
  • Using a Proxy to Attack a Web Application
  • Vulnerability Scanning
  • Wireless Crypto and Client Attacks
  • Wireless Fundamentals

Course Prerequisites:

  • GSEC or equivalent experience
  • UNIX, Windows, networking, and security experience
  • This is a hands-on skill course requiring comfort with command line interaction and network communications

Comments

Latest comments from students



User: kdwagoner

Instructor comments: Very knowledgeable. Kept class focused and on task

Facilities comments: Good


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Certified AI Program Manager (CAIPM) is EC-Council’s professional certification for people responsible for owning AI decisions and driving execution: business, technology, data, and risk.

The Certified AI Program Manager (CAIPM) Course equips you with hands-on expertise across the full spectrum of AI tools, from conversational AI and image generation to code assistants and audio synthesis.

Participants will learn how to evaluate, deploy, and integrate AI tools into enterprise workflows, understanding not just how they work, but how to leverage them for maximum business impact. This course covers how to assess AI readiness across teams and processes, Prioritize AI use cases tied to business outcomes, Design adoption and rollout roadmaps , Coordinate delivery across cross-functional teams, implement governance, Responsible AI, and security controls , and how to track performance and ROI to prove value

By the end of the course, learners will be well-prepared to take the Certified AI Program Manager (CAIPM) exam and demonstrate the ability to own AI initiatives end to end , validate mastery of decision framing and trade-off analysis for AI initiatives and Apply governance, ethics, and risk management principles across the AI lifecycle.

Course Objectives:

•MLOps Principles: Model life cycle management for scalable, production-ready AI
•Use Case Evaluation: ROI-driven assessment and prioritization of AI initiatives
•AI Strategy Frameworks: Enterprise AI roadmapping, portfolio planning, and value prioritization
•AI Investment Justification: Quantifying AI value, ROI, and mission impact for funding decisions
•Change Management: Workforce enablement and stakeholder alignment
•KPI Development: AI metrics, success indicators, and executive dashboards
•AI Governance: Risk, ethics, compliance, and responsible AI principles
•Vendor Evaluation: AI platform and tool selection aligned with enterprise needs

Dates/Locations:

No Events

Prerequisites: Familiarity with generative AI concepts, prompt engineering fundamentals, and AI workflows will help you succeed. 

TN-412: Artificial Intelligence Essentials (AI|E)