Linux System Administration II course is for experienced administrators ready for advanced administration topics. This course provides students with hands-on experience working with more complex and integrated administration concepts, and builds upon the Part 1 course. Students will be instructed in essential local Red Hat system administration skills including: Logical Volumes, Raid Management, and System Logging, SELinux and Virtual Machines. The Linux System Administration II course will get you started in understanding network administration topics, including monitoring, routing, Firewall with iptables, and servers such as NFS, SAMBA, DNS, SMTP, HTTP, DHCP, and Kickstart.
Attendees to RH-295: Linux System Administration II will receive TechNow approved course materials and expert instruction.
Dates/Locations:
No Events
Duration: 5 days
Course Objectives:
Managing Logical Volumes and RAID
Network Routing, Filtering and Monitoring
Configuring File Sharing Across Platforms
Configuring Internet Services
Configuring Security
Configuring System Messaging
Using Name Services
Configuring Name Service Clients
Configuring Kickstart
Virtualization with KVM
Troubleshooting Boot Process
Prerequisites:
RH-245: Linux System Administration I or equivalent knowledge plus six months experience as a system administrator or one year or more administrating the Red Hat operating system.
Working with the TechNow lab for the PA-215: Palo Alto Networks Firewall Essentials FastTrack course has been nothing less than a techie's idea of fun. When students come in we are immediatly configuring the Cisco 3750 switches for access ports, VLANS, and trunks. We then cable the switch to the Palo Alto Networks Firewall. Each student gets their own Palo Alto Firewall Pod of hardware and software. What we find as fun is the VLAN environment, with an array of virtual machines hosted on an ESXi server that can really exercise the abilities of the Palo Alto Firewall. The DMZ VLAN hosts virtual machines that support enterprise services and also potentialy vulnerable web services. The Trust VLAN has Windows and Linux clients. The UnTrust VLAN has Web services and a VM of Kali. The hardware Firewall is additionally connected to a Management VLAN. All those VLANs are trunked into an ESXi server where the student also has a VM-Series Palo Alto Networks Firewall for High Availability.
After configuring all the trunking, VLANs, and network interfaces we learn about the firewall and configure it for the lab environment. Using Metasploitable and Kali/Metasploit nefarious penetration attempts are executed. Using packet captures, custom APP-ID's and custom signatures are generated. Custom logging and reporting are created to similate and enterprise and assist the desired Incident Response. It is always fun in a training environment to learn all about the controls available in a product, even though specific controls may not be used in the operational environment. In the end we have a good understanding of the Palo Alto Networks Firewall.
This hands-on training course builds your skills in the VMware ViewTM suite of products: VMware View Manager, VMware View Composer, and VMware® ThinAppTM. Based on customer specification, this course can be based on View 4.x or 5.x, and ThinApp 4.x or 5.x releases.
Attendees to VM-325: VMware View: Install, Configure and Manage will receive TechNow approved course materials and expert instruction.
At the end of this course, you should understand the features and operations of View and be able to:
Install and configure View components
Create and manage dedicated and floating desktop pools
Deploy and manage linked-clone virtual desktops
Configure and manage desktops that run in local mode
Configure secure access to desktops through a public network
Use ThinApp to package applications
Date/Locations:
No Events
Duration: 5 days
Course Objectives:
Module 1: Course Introduction
Module 2: Introduction to VMware View
Module 3: View Connection Server
Module 4: View Desktops
Module 5: View Client Options
Module 6: View Administratory
Module 7: Configuring and Managing Linked Clones
Module 8: Local-Mode Desktops
Module 9: Command-Line Tools and Backup Options
Module 10: Managing VMware View Security
Module 11: View Manager Performance and Scalability
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).
Dates/Locations:
No Events
Duration: 5 Days
Course Objectives:
Project Initiation
Examining the Project Management Framework
Examining the Project Management Processes
Implementing Project Integration Management
Managing the Project Scope
Introducing Project Time Management
Introducing Project Cost Management
Introducing Project Quality Management
Introducing Project Human Resource Management
Introducing Project Communications Management
Introducing Project Risk Management
Introducing Project Procurement Management
PMP Code of Professional Conduct
Prerequisites:
A Bachelor’s degree & 4,500 hours of project management experience over 3 years/36 months.
OR
7,500 hours of project management experience over 5 years/60 months (if NO degree).
AND
Complete & submit the PMP certification application directly to 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.
