Every programmer must keep up with the latest tools and techniques. This course will help you push your skills to the next level and become a more accomplished programmer. Advanced PERL Programming teaches you all the complex techniques for production-ready PERL programs and explains concepts such as introspection, overriding built-ins, extending PERL's OO model, and testing your code for greater stability.
Attendees to P-415: Advanced PERL Programming will receive TechNow approved course materials and expert instruction.
This course, TN-305: Designing, Implementing, Administering and Securing Wireless Local Area Networks (LANs), covers the two main objectives for those entering the wireless world, understanding the technology & addressing its security. TN-305: Designing, Implementing, Administering and Securing Wireless Local Area Networks (LANs) takes advantage of the student’s existing expertise to provide a challenging introductory course. Covering a broad range of wireless networking topics & an introduction on how to secure a wireless LAN from hackers. To insure wireless availability you need to understand proper design choices & administration practices. To protect valuable information on your network you need to know how attacks occur & techniques used to secure your wireless network.
Attendees to TN-305: Designing, Implementing, Administering and Securing Wireless Local Area Networks (LANs) will receive TechNow approved course materials and expert instruction.
Attendees should have network administration skills. These skills can be obtained through TechNow’s N-205 & N-305: CCNA/ICND Training program or our highly respected cross platform TN-385: TCP/IP Analysis & Implementation course.
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User: TMPRIESTLEY
Instructor comments: The instructor was very well versed on the topic and knew how to apply it to real-life examples. He led the labs and was very excited about the topic which kept the interest of myself and other class members. Sometimes his volume level was a little high- however the room the class was in was very small. Too small for a big personality!
Facilities comments: I was unaware of the facility changes, but that was at no fault of anyone since I was a drop-in for the course. They were very helpful and quick to mediate the issue.
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.
TechNow has been involved in enterprise client server architectures since 1990. TechNow has delivered national and international implementations for Valero, Wholefoods, Quest, USAA, Golfsmith, AMD, Motorola, and many other fortune 1000 corporations,
TechNow's training program has followed the evolution of enterprise computing into virtualization and cloud computing. With a focus on security, TechNow can present the ramifications of many centralized strategies. All courses utilize enterprise instructors with experience and can discuss the detail of implementation and the integration into an existing infrastructure.
