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.
Course two of a three course series to obtain a Server 2016 MCSA certification. This 5-day course provides the fundamental networking skills required to deploy and support Windows Server 2016 in most organizations. It covers IP fundamentals, remote access technologies, and more advanced content including Software Defined Networking.
The course leads directly to preparing for the(MCSA):Windows Server 2016 exam “70-741: Installation, Storage, and Compute with Windows Server 2016”. It also maps to Microsoft’s course 20741A, and is part of the Server 2016 MCSA certification.
Attendees to TN-5425: Networking with Window Server 2016 will receive TechNow approved course materials and expert instruction.
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 is an advanced course that assumes the attendee is a qualified security professional with experience using security tools and understands the concepts behind penetration testing. Courses that build up the expertise that enables a student to succeed in this course is Security+, CEH, CISSP, and any of the GIAC certifications. This course is completely hands-on and utilizes the BackTrack tool suite from backtrack-linux.org. The course covers, in detail, various attacks and tools that are contained in the BackTrack tool suite.
Attendees to TN-335: Advanced Penetration Testing Using Open Source Tools will receive TechNow approved course materials and expert instruction.
Dates/Locations:
No Events
Duration: 5 days
Course Objectives:
Information Security and Open Source Software
Operating System Tools
Firewalls
Scanners
Vulnerability Scanners
Network Sniffers
Intrusion Detection Systems
Analysis and Management Tools
Encryption Tools
Wireless Tools
Forensic Tools
More on Open Source Software
Prerequisites:
Experience in IT Security
Solid basic knowledge of networks and TCP/IP
Experience in command line under Linux and Windows is required
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.
