Course Overview:

This course, TN-385: TCP/IP Analysis & Implementation, provides students with a comprehensive technical introduction to TCP/IP & the interworkings of TCP/IP application to UNIX, Linux and Windows in a network environment.  This course begins by providing a comprehensive protocol stack analysis.  It continues with extensive hands-on exercises needed to configure TCP/IP on UNIX and Windows based networks.

Attendees to TN-385: TCP/IP Analysis & Implementation will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • A thorough comprehension of each level of the protocol stack
  • Configuring UNIX & Windows to access internetworks
  • Configuring & setting up a Cisco router
  • Properly implementing subnets to avoid ongoing maintenance headaches
  • Routing & routing protocols, RIP, OSPF, and IGRP
  • How to troubleshoot a wide range of routing problems
  • All major TCP/IP application services including: FTP, TELNET, SNMP, NFS, DNS, DHCP, & WINS
  • How to avoid common internetworking problems
  • How to troubleshoot TCP/IP networks using protocol analysis techniques – snoop on Sun Workstation & Network Monitor on Windows.
  • How to design, build, configure, & manage TCP/IP internetworks
  • Applying a structured methodology for troubleshooting TCP/IP internetworks
  • ACL's on Cisco routers

Prerequisites:

  • Students should have good end-user skills in TCP/IP (FTP, TELNET, RLOGON,  & MAIL).

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Course Overview:

This course is designed for students who intend to work with virtual private networks (VPNs) using IPSec. The course includes detailed coverage of the VPN 3000 Concentrator, a scalable remote access platform that offers encryption, high availability, and superior performance. This class is an invaluable theory and configuration guide for the VPN 3000 series of products, with its thorough coverage of concentrators, hardware clients, and software clients.

Attendees to N-315: Cisco Secure Virtual Private Networks will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 days

Course Objectives:

  • Network Security & Virtual Private Network Technologies Cisco VPN 3000 Concentrator Series Hardware Overview
  • Routing on the VPN 3000
  • Configuring the Cisco VPN 3000 for Remote Access Using Pre-shared Keys
  • Configuring the Cisco VPN 3000 for Remote Access Using Digital Certificates
  • The Cisco VPN Client Firewall Feature
  • Configuring the Cisco 3002 Hardware Client for Remote Access
  • Configuring the Cisco 3002 Hardware Client for User & Unit Authentication
  • Configuring Cisco VPN Clients for Backup Server, Load Balancing & Reverse Route Injection
  • Configuring the Cisco 3000 Concentrator for IPSec over TCP & UDP
  • Configuring LAN-to-LAN VPNs on the Cisco 3000
  • Network Monitoring & Administration Troubleshooting

Prerequisites:

  • Students who attend this advanced course must have experience in configuring Cisco IOS software
  • CCNA certification
  • Basic knowledge of the Windows operations system
  • Familiarity with the networking & security terms & concepts

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Course Overview:

TN-542: Establishing a Security Operations Center (SOC) People, Processes, and Technologies is the big picture overview of a SOC, other courses provide a deep dive into the technologies that a SOC may utilize. This course addresses the internal workings of staff, skills required, required authorizations, internal agreements, and setting appropriate expectation levels of a SOC within budget constraints. A SOC is not a one size fits all, the instructor has decades of security experience and brings to the table opportunities to discuss what can work within constraints. Many organizations are coming to the realization that some level of a SOC is now required and to learn just what decisions need to be made: Out-sourced, In-sourced, budgets, capabilities and many more. Students leave with a worksheet of how to progress when they get back to their organization.

TN-542: Establishing a Security Operations Center (SOC) People, Processes, and Technologies – Is a course that incorporates lecture, demos, and group exercises for standing up a Security Operations Center (SOC). Students learn strategies and resources required to deploy, build, and run Network Security Monitoring (NSM) and work roles and flows for a SOC. No network is bullet proof and when attackers access your network, this course will show you options and resources to build a security net to detect, contain, and control the attacker. Examples on what it takes to architect an NSM solution to identify sophisticated attackers and a response strategy. Properly implemented detection and response technologies is integral to incident response and provides the responders timely information and tools to react to the incident. Effective demonstrations are given of Open Source technologies that build up a SOC, but any software can be used and demonstrations are provided to demonstrate technology families not push a specific solution.

TN-542: Establishing a Security Operations Center (SOC) People, Processes, and Technologies demonstrations utilize a cyber range that gives each student in-depth knowledge of monitoring live systems to include: Cisco, Windows, Linux, IoT, and Firewalls; and software and services to provide orchestrate Incident Response, Intelligence Analysis, and Hunt Operations.

Attendees to TN-542: Establishing a Security Operations Center (SOC) People, Processes, and Technologies class will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 2 Days

Course Objective:

    • To provide management an overview of what it takes to stand up a SOC.

Prerequisites:

  • Students should have an understanding of the security field.

Course Outline:

  • What threats does my organization care about?
  • What does a threat look like?
  • What does a threat look like?
  • How to present the SOC internally.
  • Communication with Stakeholders and Executives
  • Leveraging and integrating existing security measures
  • People
    • Establishing a skill matrix and work roles for SOC members
    • Establishing a training path
    • Personnel background requirementsProcesses
  • Processes
    • Alignment to standards: NIST, PCI, HIPAA, etc.
    • Risk related decision trees
    • Playbooks
    • Threat Intelligence Integration
  • Technology – Tool Suites to Support:
    • Ethical Hacking
    • Network Security Monitoring and SIEM
    • Forensics
    • Dashboards
    • Analysis and Hunting
    • Incident Management and Ticketing

 

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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. 

 

 

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.