This course teaches students how to use the powerful PERL programming language, focusing on hands-on labs to promote retention & challenge students to apply their skills to new situations. PERL is a flexible, easy to use language suitable for many tasks such as system administration, web applications & database integration. System administrators, web programmers & database administrators will benefit from mastering this powerful programming language. This course reviews & builds on the information presented in PL-115: Fundamentals of Computer Programming.
Attendees to P-245: Programming with PERL will receive TechNow approved course materials and expert instruction.
Dates/Locations:
No Events
Course Duration: 5 days
Course Objectives:
Introduction
Scalar Data
Lists & Arrays
Subroutines
Input & Output
Hashes
In the World of Regular Expressions
Matching with Regular Expressions
Processing Text with Regular Expressions
More Control Structures
File Tests
Directory Operations
Strings & Sorting
Process Management
PERL Modules
Some Advanced PERL Techniques
Prerequisites:
Knowledge or experience in shell, C or another programming language is a great indicator of readiness
TechNow has heard many students talk about virtualized/remote training that TechNow Does Not Do. While training our most recent offering of PA-215: Palo Alto Networks Firewall Essentials FastTrack a student told his story of how he endend up in our course. His story we have heard for other technologies like Cisco, VMware, BlueCoat and other products.
A large percentage of training is moving to the virtualized/remote lab environments. Students are asked to use some variant of remote access software and remote into the training company's lab environment. Our student in our Palo Alto Networks Firewall course informed us that he went to a very costly offering of that course from the vendor and was not able to perform any labs. There were either network connectivity issues, or issues with the remote access software, or other problems. The whole training experience was very frustrating and not productive.
We keep our labs open to students if they would like after hours, or before hours access. Repeatedly going through a lab engrains that knowledge for later recall. Touching hardware is so critical in understanding the problems that arise when a cable comes loose, or a cable gets plugged in the wrong port. There are other scenarios such as just pulling the power cable, or turning off a power strip, or accidently overwriting a configuration. These disaster scenarious requires hands-on physical access to hardware. Preventing and recovering from disasters is what it's all about, and that requires hands-on, instructor led, real hardware.
This course covers the knowledge and skills required to understand standard Cloud terminologies/methodologies, to implement, maintain, and deliver cloud technologies and infrastructures (e.g. server, network, storage, and virtualization technologies), and to understand aspects of IT security and use of industry best practices related to cloud implementations and the application of virtualization.
TechNow has worked worldwide enterprise infrastructures for over 20 years and has developed demos and labs to exemplify the techniques required to demonstrate cloud technologies and to effectively manage security in the cloud environment.
TechNow is a CompTIA partner and uses official CompTIA Cloud+ curriculum.
Attendees to CT-215: Cloud+ will receive TechNow approved course materials and expert instruction.
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
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.
