Course Overview:

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
  • Module 12: VMware® ThinAppTM

Prerequisites:

  • VM-315: VMware Infrastructure: Install, Configure and Manage
  • Experience in Microsoft Windows Active Directory Administration
  • Experience with VMware vSphereTM
  • Before attending the course, students must be able to perform the following tasks:
    • Create a template in VMware vCenterTM Server and deploy a virtual machine from it
    • Modify a template customization file
    • Open a virtual machine console in vCenter Server and access the guest operating system
    • Configure Active Directory services

 

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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.

Course Overview:

This course is designed for professionals that are expected to do malware analysis. A skills focus enables the student to better absorb the subject matter and perform successfully on the job.   This is not death by power point. The course is aligned with information assurance operators and executing hands-on labs. Lecture and labs walk the student through the knowledge required to truly understand the mechanics Reverse Engineering Malware.

Attendees to TN-999: Reverse Engineering Malware will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Duration: 5 days

Course Objectives:

  • Toolkit and Lab Assembly
  • Malware Code and Behavioral Analysis Fundamentals
  • Malicious Static and Dynamic Code Analysis
  • Collecting/Probing System and Network Activities
  • Analysis of Malicious Document Files
  • Analyzing Protected Executables
  • Analyzing Web-Based Malware
  • DLL Construction and API Hooking
  • Common Windows Malware Characteristics in x86 Assembly
  • Unpacking Protected Malware
  • In-Depth Analysis of Malicious Browser Scripts, Flash Programs and Office
  • In-Depth Analysis of Malicious Executables
  • Windows x86 Assembly Code Concepts for Revers-Engineering Memory Forensics for Rootkit Analysis

Prerequisites:

  • Strong understanding of core systems and network concepts
  • Exposure to programming and assembly concepts
  • Comfortable with command line access

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User: marcus.osullivan

Instructor comments: Good stuff. I like the beginning half where there was help from an additional instructor to facilitate fixing computer errors that inevitably popped up.

Facilities comments: The baby deer were neat! I like the resort.


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Course Description:

Artificial Intelligence Essentials (AIE) is a foundational AI literacy certification that builds practical understanding of AI and responsible use

The Artificial Intelligence Essentials (AIE) Course is designed to prepare learners for the newly Artificial Intelligence Essentials (AIE) exam. This hands-on program introduces professionals to core AI concepts, practical tools, and safe real-world applications. It equips learners to understand AI systems, use AI responsibly, and boost productivity across roles and industries

Participants will gain knowledge in understanding how AI systems work, where they are used, how they influence decision-making, and how they should be applied responsibly in everyday, professional, and organizational contexts. The course covers what AI is and what it is not, how data and models drive AI behavior, and how modern AI systems differ from traditional software. Learners develop the ability to interact effectively with AI tools, evaluate AI outputs with informed judgment, and apply responsible practices aligned with privacy, security, and global regulatory expectations.

By the end of the course, learners will be prepared to use AI confidently, safely, and productively while recognizing limitations, ethical risks, and broader societal impacts. It serves as a universal entry point before any technical, managerial, security, or governance specialization in AI.

Course Outline: 

01. Introduction to Artificial Intelligence

02. Everyday AI Tools and Use Cases

03. Building Blocks of AI

04. Prompt Crafting AI-Driven Interactions

05. AI Ethics and Responsible AI

Dates/Locations:

No Events