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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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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RH-305:Red Hat System Administration III: Linux Automation with Ansible

Course Overview:

Red Hat System Administration: Linux Automation with Ansible is designed for Linux administrators and developers who need to automate repeatable and error-prone steps for system provisioning, configuration, application deployment, and orchestration. TechNow’s Ansible course facilitates the dynamic IT infrastructure through automation.

This course also supports DevOps practices through Ansible playbooks automating workflows. TechNow has operated Automated Unix and Linux environment for over 35 years and brings this field experience to the classroom utilizing ansible and discussing its impact on: Infrastructure (Linux, Windows, network devices), Cloud automation (AWS and Azure), Application deployment, Security & compliance, and CI/CD pipelines.

This course also ties in nicely with the TechNow course CL-355: Containers, Kubernetes, and Red Hat OpenShift Administration which provides an overview of the DoD Enterprise DevSecOps Platform (DSOP) Reference Design, its current state, and ties to DoD Cloud Platform One (P1).

Dates/Locations:

No Events

Duration: 5 days

Course Objectives:

An introduction to Ansible
Install and configure Ansible development tools in VS Code and configure Ansible setting
Create and update inventories of managed hosts and manage connections to them
Automate administration tasks with Ansible Playbooks
Write effective playbooks at scale
Protect sensitive data used by Ansible Automation Platform with Ansible Vault
Reuse code and simplify playbook development with Ansible Roles and Ansible Content Collections
Developing Automation Content: Variables, Task Control, Deploying Files
Developing Automation Content at Scale
Reusing Code with Ansible Roles and Content Collections
Automate Linux Administration Tasks

Prerequisites:

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PA-243: Palo Alto Networks Firewall Debug and Troubleshoot (EDU-311)

Course Overview: PA-243: Palo Alto Networks Firewall Debug and Troubleshoot is a three-day course on how to troubleshoot the full line of Palo Alto Networks next-generation firewalls. Students will receive hands-on experience troubleshooting the security, networking, threat prevention, logging, and reporting features of the Palo Alto Networks PAN-OS® operating system. Upon completion of this class, students will have an in-depth knowledge of how to troubleshoot visibility and control over applications, users, and content. This is not a virtualized theoretical course. This is hands-on, real world instruction, directly relevant to the DoD and Commercial implementations of Palo Alto Networks next-generation firewalls.

Each student is issued a physical Palo Alto firewall and a Cisco layer 3 switch at their desk. Real hardware per student for real experience and real skill development. TechNow provides a very comprehensive client infrastructure that includes Windows, Linux, and multiple packet sniffer agents.

The instructor for this course has been a lead in Unix kernel development to implement firewall and intrusion detection technologies. Additionally, the instructor has taught several security appliance products and carries several SANS, ISC2, ISACA, Cisco, Unix, and Windows certifications.

Attendees to the PA-243: Palo Alto Networks Firewall Debug and Troubleshoot (EDU-311) Training Course will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 3 days

Course Objectives: Students attending this foundational-level training course will gain an in-depth knowledge of how to configure and manage their Palo Alto Networks firewall, including hands-on experience in configuring the security, networking, threat prevention, logging, and reporting features of the Palo Alto Networks Operating System (PAN-OS).

Day 1

Module 0 – Introduction & Overview
Module 1: Troubleshooting
- Methodology
Module 2: Platform
- Comparisons When
- Troubleshooting
Module 3: Flow Logic
Module 4: Administration
- Troubleshooting

Day 2

Mod 5: Layer 3
- Troubleshooting
Mod 6: Policy
- Troubleshooting
Mod 7: User-ID™
- Troubleshooting

Day 3

Mod 8: VPN
- Troubleshooting
Mod 9: GlobalProtect™
- Troubleshooting
Mod 10: Performance
- Troubleshooting

Prerequisites:

This course is in no way associated with Palo Alto Networks, Inc.

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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.