This five-day instructor-led course provides IT professionals with the knowledge and skills required to Support and Troubleshoot Windows 11 PCs and devices in an on-premises Windows Server Active Directory domain environment.
Attendees to TN-5320: Supporting and Troubleshooting Windows 11 will receive TechNow approved course materials and expert instruction.
Dates/Locations:
No Events
Duration: 5 Days
Course Objectives:
Describe the processes involved in planning and using a troubleshooting methodology for Windows 11
Troubleshoot startup issues and operating system services on a Windows 11 PC
Perform system recovery
Resolve issues related to hardware devices and device drivers
Administer Windows 11 devices
Troubleshoot issues related to network connectivity
Configure Windows 11 devices by using Group Policy
Configure and troubleshoot user settings
Configure and troubleshoot resource access
Implement remote connectivity
Deploy and troubleshoot applications
Maintain Windows 11 devices
Prerequisites:
Networking fundamentals, including Transmission Control Protocol /Internet Protocol (TCP/IP), User Datagram Protocol (UDP), and Domain Name System (DNS).
Microsoft Active Directory Domain Services (AD DS) principles.
Understanding of the Public Key Infrastructure (PKI) components.
This course will provide students with proficiency in the everyday management of Linux based clients and basic management of server system. Students will learn the knowledge and tools necessary to manage Linux systems from the command line, as well as how to manage user administration, file permissions, software configurations, and Linux based clients, server systems and security. Let us help you prepare for the CompTIA Linux+ exam (XK0-005).
TechNow is a CompTIA partner and uses official CompTIA Linux+ curriculum.
Attendees to CT-245: Linux+ will receive TechNow approved course materials and expert instruction.
This course is developed for those individuals seeking to pass the Project Management Institute’s PMP certification exam, as well as any individual who has attended any Project Management Certification program in the past and needs to brush up on the material needed to pass the PMP exam.
Attendees to PM-325: Project Management Professional (PMP) Exam Preparation will receive official PMI (Project Management Institute) course materials and expert instruction from an official PMI Instructor.
TechNow Inc. is an official Authorized Training Partner of The Project Management Institute (PMI).
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.
