This comprehensive course provides you with an in-depth understanding of the current telecom landscape and how voice is migrating from a circuit- to a packet-switched network. You will learn how to evaluate existing technology options to determine which will best meet your organization's data and telephony requirements, from mature digital transport/access services to emerging voice and data services using voice over packet technologies.
Attendees to TN-245: Telecommunications Fundamentals will receive TechNow approved course materials and expert instruction.
Dates/Locations:
No Events
Duration: 5 days
Course Objectives:
The Current State of the Telecom Industry
Telecom Service Providers
Digitalizing Voice
Communication Mediums and Multiplexing
Carrier Access: Customer-to-Carrier Connections
Broadband Access
Enterprise Networks
Carrier Transport Services
Data Communications and Packet-Switched Networks
Migrating Voice from Circuit-to-Packet-Switched Networks
Carrier Data Services
Ethernet Services
Remote Access Virtual Private Networks (VPNs)
Video Technology and Services
Current Mobile Wireless Services
Fixed Mobile Convergence (FMC)
Worldwide Interoperability for Microwave Access (WiMax)
The C-215: Introduction to C Programming course is a hands-on course providing a complete introduction to the ANSI 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.
Attendees to C-215: Introduction to C Programming will receive TechNow approved course materials and expert instruction.
Dates/Locations:
No Events
Duration: 5 days
Course Objectives:
What is C?
Basics of Program Writing
Style
Basic Declarations & Expressions
Arrays, Qualifiers & Reading Numbers
Decision & Control Statements
Programming Process
More Controls Statements
Variable Scope & Functions
C Preprocessor
Bit Operations
Advanced Types
Simple Pointers
File Input/Output
Debugging & Optimization
Floating Point
Prerequisites:
Before attending this course, you should be able to use basic UNIX commands and have previous programming experience language, or have taken our Introduction to Computer Progamming class.
Comments
Latest comments from students
User: jangles1337
Instructor comments: Pretty knowledgeable on a number of things. Could have had a better in depth understanding of the material.
Facilities comments: Was a hotel so it was pretty noisy some times.
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
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.
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.
