Course Overview:

As VoIP (Voice-over IP) is integrated into the operations of many missions, it is imperative to understand its security ramifications.  In the N-595: VoIP Security Analysis and Design class the objectives are designed for those who are chartered with the responsibility of securing networks and application environments that incorporate VoIP.   Topics include how VoIP works, its interactions with the network, its vulnerabilities and mitigations.  Focus is on leading open source and proprietary technologies utilizing Asterisk and Cisco and the protocols SIP, H.323, RTP, MGCP, and Skinny.  Other protocols such as Nortel's UNIStim will be addressed.  As for Cisco, security pieces in the VoIP CallManager servers, Catalyst switches, IOS-based routers, and ASA firewalls, amounts to several different platforms, each with its own management interface and lockdown procedures.   Various open source tools including those in BackTrack are used for VoIP attacks.  A task list of actions for securing enterprise VoIP is carried out in hands-on labs, performed on Cisco phones, routers, switches, and ASA firewalls.

Attendees to N-595: VoIP Security Analysis and Design will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • VoIP Architecture
  • VoIP Signaling and media protocols
  • Common VoIP authentication mechanisms
  • Common VoIP encryption techniques
  • VoIP protocol analysis with Wireshark
  • Maintaining QoS while mitigating DoS
  • VoXML, XML, and application integration security
  • Converged network security design and implementation
  • Impact of NAT and firewalls
  • SIP, H.323, and MGCP vulnerabilities
  • VPN, IPsec and SRTP to secure VoIP services
  • Penetration testing with open source tools
  • Attacks for Eavesdropping, call redirection, and DoS
  • Design of hacked firmware virtualization layer
  • Concise lockdown steps for network hardware and VoIP

Prerequisites:

  • This is an advanced Information Security Course which requires basic Windows & UNIX competency
  • Certification or 2 years of experience in these operating systems is highly recommended
  • As well as an understanding of TCP/IP

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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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TechNow offers many courses that also have a related certification exam.  As an Authorized Peason VUE testing center, we offer exams for many certifications.  Pearson VUE offers exams for a wide array of certifications that includes the IT certs of Cisco, EC-Council, CompTIA, and SANS.

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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.