Over twenty years experience in the area of Solaris, Linux, and Unix ensures that you are benefiting from a very mature and successful Solaris, Linux, and Unix training program. TechNow offers the full suite of Solaris, Linux, and Unix courses utilizing real hardware. This is not virtualized Solaris on Intel processors, or remote connection to a distant system. The student learns to deal with real hardware taking advantage of Sparc T series processors. Solaris 10 and Solaris 11 is taught hands-on with data center skills as the focus. We also offer Solaris 10 migration courses to Solaris 10 or Solaris 11.
The following is a list of our Unix/Linux training courses:
Increase your credibility, job security, and career opportunities by reaching your goal and getting certified! TechNow offers many CompTIA bootcamp style courses in which we administer an exam on the last day of class. We have a proven testing program that will get you the results you want!
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, 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.
