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)
This course is developed for those individuals seeking to pass the Project Management Institute’s PMI-ACP Exam. PMI Agile Certified Practitioner (PMI-ACP)® is one of the newest certifications offered by PMI and is expected to become the industry standard certification for agile over the next few years. The PMI-ACP® certification clearly illustrates to colleagues, organizations or even potential employers that students are ready and able to lead in this new age of product development, management, and delivery.
While preparing you for the exam, you will explore various approaches to agility including Scrum, Kanban, Lean, Extreme Programming (XP), and Test-Driven Development (TDD). By the end of the course, you’ll have mastered the practices and techniques that Agile practitioners use to improve team performance, resolve problems and engage in continuous process improvements and be equipped with job-ready skills.
This course provides students with 21 contact hours in agile practices to help attain the Project Management Institute (PMI)® credential. PMI® and PMI-ACP® are registered marks of the Project Management Institute, Inc.
Attendees to PM-224: PMI Agile Certified Practitioner (PMI-ACP) Prep Course will receive TechNow approved course materials and expert instruction.
12 months of general project experience within the last 5 years. A current PMP® or PgMP® will satisfy this requirement but is not required to apply for the PMI-ACP
8 months of agile project experience within the last 3 years
This course provides security professionals with the skills and knowledge to perform vulnerability and compliance scanning of supported operating systems, devices, and applications. Students will construct custom scan policies for topology discovery, network vulnerability detection, credentialed patch audits, and compliance benchmarks, and discuss the underlying technologies utilized by the Nessus scanner.
This course provides students with the necessary information to prepare for the Tenable Certified Nessus Auditor (TCNA) exam.
Date/Locations:
No Events
Duration: 5 days
Course Objectives:
Introduction to Nessus and Vulnerability Scanning
Nessus Installation and Administration
Basic Nessus Scan Operation
Nessus Scan Configuration and Policy Creation
Vulnerability Analysis and Reporting with Nessus
Advanced Scan Configuration and Policy Creation
Introduction to Compliance and Auditing
Nessus Auditing Features
Windows System Auditing
Unix System Auditing
Cisco IOS Auditing
Nessus Database Auditing
Nessus Content Auditing
Auditing to Industry Guidelines
Auditing to Federal Guidelines
Prerequisites:
Students should possess a basic understanding of TCP/IP networking, operating systems security, and common client/server applications.
Working with the TechNow lab for the PA-215: Palo Alto Networks Firewall Essentials FastTrack course has been nothing less than a techie's idea of fun. When students come in we are immediatly configuring the Cisco 3750 switches for access ports, VLANS, and trunks. We then cable the switch to the Palo Alto Networks Firewall. Each student gets their own Palo Alto Firewall Pod of hardware and software. What we find as fun is the VLAN environment, with an array of virtual machines hosted on an ESXi server that can really exercise the abilities of the Palo Alto Firewall. The DMZ VLAN hosts virtual machines that support enterprise services and also potentialy vulnerable web services. The Trust VLAN has Windows and Linux clients. The UnTrust VLAN has Web services and a VM of Kali. The hardware Firewall is additionally connected to a Management VLAN. All those VLANs are trunked into an ESXi server where the student also has a VM-Series Palo Alto Networks Firewall for High Availability.
After configuring all the trunking, VLANs, and network interfaces we learn about the firewall and configure it for the lab environment. Using Metasploitable and Kali/Metasploit nefarious penetration attempts are executed. Using packet captures, custom APP-ID's and custom signatures are generated. Custom logging and reporting are created to similate and enterprise and assist the desired Incident Response. It is always fun in a training environment to learn all about the controls available in a product, even though specific controls may not be used in the operational environment. In the end we have a good understanding of the Palo Alto Networks Firewall.
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.
