TN-5415: Installation, Storage, and Compute with Windows Server 2016

Course Overview:

Course one of a three course series to obtain a Server 2016 MCSA certification. This five-day course is designed primarily for IT professionals who have some experience with Windows Server. It is designed for professionals who will be responsible for managing storage and compute by using Windows Server 2016, and who need to understand the scenarios, requirements, and storage and compute options that are available and applicable to Windows Server 2016.

The course leads directly to preparing for the(MCSA):Windows Server 2016 exam “70-740: Installation, Storage, and Compute with Windows Server 2016”. It also maps to Microsoft’s course 20740A, and is part of the Server 2016 MCSA certification.

Attendees to TN-5415: Installation, Storage, and Compute with Window Server 2016 will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

Prepare and install Nano Server, a Server Core installation, and plan a server upgrade and migration strategy
Describe the various storage options, including partition table formats, basic and dynamic disks, file systems, virtual hard disks, and drive hardware, and explain how to manage disks and volumes
Describe enterprise storage solutions, and select the appropriate solution for a given situation
Implement and manage Storage Spaces and Data Deduplication
Install and configure, and manage Windows and Hyper-V containers
Describe the high availability and disaster recovery technologies in Windows Server 2016
Plan, create, and manage a failover cluster
Implement failover clustering for Hyper-V virtual machines
Configure a Network Load Balancing (NLB) cluster, and plan for an NLB implementation
Create and manage deployment images
Manage, monitor, and maintain virtual machine installations

Prerequisites:

A basic understanding of networking fundamentals
An awareness and understanding of security best practices
An understanding of basic AD DS concepts
Basic knowledge of server hardware
Experience supporting and configuring Windows client operating systems such as Windows 10

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TN-565: Nessus Vulnerability & Compliance Auditing

Course Overview:

This course provides security professionals with the skills and knowledge to perform vulnerability and compliance scanning of supported operating systems, devices, and applications. Students will construct custom scan policies for topology discovery, network vulnerability detection, credentialed patch audits, and compliance benchmarks, and discuss the underlying technologies utilized by the Nessus scanner.

This course provides students with the necessary information to prepare for the Tenable Certified Nessus Auditor (TCNA) exam.

Date/Locations:

No Events

Duration: 5 days

Course Objectives:

Introduction to Nessus and Vulnerability Scanning
Nessus Installation and Administration
Basic Nessus Scan Operation
Nessus Scan Configuration and Policy Creation
Vulnerability Analysis and Reporting with Nessus
Advanced Scan Configuration and Policy Creation
Introduction to Compliance and Auditing
Nessus Auditing Features
Windows System Auditing
Unix System Auditing
Cisco IOS Auditing
Nessus Database Auditing
Nessus Content Auditing
Auditing to Industry Guidelines
Auditing to Federal Guidelines

Prerequisites:

Students should possess a basic understanding of TCP/IP networking, operating systems security, and common client/server applications.

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CT-415: CompTIA SecAI+

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.

PP-222: CIPM Certified Information Privacy Manager and GDPR Compliance

Course Overview:

Every organization has data protection needs. Every day, we access, share and manage data across companies, continents and the globe. Knowing how to implement a privacy program is an invaluable sill that will help you protect your organization’s data- and take your career to the next level. Our Principles of Privacy Program Management training is the premier course on implementing a privacy program framework, managing the privacy program operational lifecycle and structuring a privacy team. With a CIPM and CIPP/E combined you’ll be uniquely equipped to fulfill the DPO requirements of the GDPR. Here is our CIPM + CIPP/E 4 Day GDPR Ready

What’s Included:

Authorized courseware
Exam voucher
IAPP membership

**GDPR Regulation Mandated May 25, 2018**

Course Objectives:

Principles of Privacy Program Management is the how-to training on implementing a privacy program framework, managing the privacy program operational lifecycle and structuring a knowledgeable, high-performing privacy team. Those taking this course will learn the skills to manage privacy in an organization through process and technology-regardless of jurisdiction or industry. The Principles of Privacy Program Management training is based on the body of knowledge for the IAPP’s ANSI accredited Certified Information Privacy Manager (CIPM) certification program.

Attendees to PP-222: CIPM Certified Information Privacy Manager and GDPR Compliance will receive TechNow approved course materials and expert instruction, and certification test voucher and certificate of course completion.

TechNow is a International Association of Privacy Professionals (IAPP) Partner, and utilizes official curriculum from International Association of Privacy Professionals (IAPP).

TechNow has taught security courses for over 20 years, before most certifications existed and has successfully moved students through certification programs associated with IAPP, SANS, EC-Council and ISC2. Our instructor maintains over a dozen security certifications and has been the director of a company with internationals sales and compliance.

Dates/Locations:

No Events

Duration: 2 Days

Course Content:

Module 1: Introduction to Privacy Program Management
Module 2: Privacy Governance
Module 3: Applicable Laws and Regulations
Module 4: Data Assessments
Module 5: Policies
Module 6: Data Subjects’ Rights
Module 7: Training and Awareness
Module 8: Protecting Personal Information
Module 9: Data Breach Incident Plans
Module 10: Measuring, Monitoring and Auditing Program Performance

Prerequisites: None

Target Audience:

Data Protection Officers, Data Protection Managers, Auditors, Legal Compliance Officers, Security Manager, Information Managers, Anyone who uses processes and maintains personal data

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TN-425: Certified Offensive AI Security Professional (C|OASP)

Certified Offensive AI Security Professional (COASP) validates the competencies required for practitioners who need to demonstrate offensive AI security skills, emulating adversaries, validating defenses, and leading red-team/blue-team exercises to keep AI resilient, reliable, and auditable

The Certified Offensive AI Security Professional (COASP) equips you to identify and neutralize AI-specific threats before attackers do. And Bridges security, engineering, and data science so controls exist across the full AI life cycle.

Participants will gain hands-on experience to perform end-to-end adversarial testing and deliver defensive validation evidence including the ability to simulate adversarial AI kill chains, Harden AI architectures by secure system prompts, context windows, tool integrations, RAG pipelines, and agent memory, Conducting AI security assessments aligned to MITRE ATLAS, OWASP LLM/ML Top 10, NIST AI RMF, and DoD Test & Evaluation practices , This course covers how to build SOC-ready capabilities for AI-focused detection logic, incident playbooks, and forensic procedures , & how to execute prompt injection, adversarial prompting , Assess AI supply-chain risk , Implement defensive engineering controls and Produce assurance and compliance artifacts.

By the end of the course, learners will be well-prepared to take the Certified Offensive AI Security Professional (COASP) exam and demonstrate the ability to exploit vulnerabilities in LLMs and agents, and build defense that survive real world attacks, learners will master offensive techniques that break AI before the attackers do.

Course Outline:

01. Offensive AI and AI System Hacking Methodology

02. AI Reconnaissance and Attack Surface Mapping

03. AI Vulnerability Scanning and Fuzzing

04. Prompt Injection and LLM Application Attacks

05. Adversarial Machine Learning and Model Privacy Attacks

06. Data and Training Pipeline Attacks

07. Agentic AI and Model-to-Model Attacks

08. AI Infrastructure and Supply Chain Attacks

09. AI Security Testing, Evaluation, and Hardening

10. AI Incident Response and Forensics

Prerequisites:

TN-412: Artificial Intelligence Essentials (AI|E)

Dates/Locations:

No Events