Course Overview:

A rigorous Pen Testing program that, unlike contemporary Pen Testing courses, teaches you how to perform an effective penetration test across filtered networks. The course requires you to Pen Test IoT systems, OT systems, builds on your ability to write your own exploits, build your own tools, conduct advanced binaries exploitation, double pivot to access hidden networks, and various technologies.

What’s Included:

    • EC-Council official E-Courseware
    • EC-Council official Certificate of Attendance
    • EC-Council iLabs with access for 6 months
    • EC-Council CPENT Range access
    • CEH Exam Voucher

     

    Dates/Locations:

    No Events

    Duration: 5 days

    Course Content:

      • Module 01. Introduction to Penetration Testing
      • Module 02. Penetration Testing Scoping and Engagement
      • Module 03. Open Source Intelligence (OSINT)
      • Module 04. Social Engineering Penetration Testing
      • Module 05. Network Penetration Testing – External
      • Module 06. Network Penetration Testing – Internal
      • Module 07. Network Penetration Testing – Perimeter Devices
      • Module 08. Web Application Penetration Testing
      • Module 09. Wireless Penetration Testing
      • Module 10. IoT Penetration Testing
      • Module 11. OT/SCADA Penetration Testing
      • Module 12. Cloud Penetration Testing
      • Module 13. Binary Analysis and Exploitation
      • Module 14. Report Writing and Post Testing Actions

     

    Prerequisites:

        • Pass the CEH exam
        • Pass the CND exam

    Target Audience:

    Penetration Testers, Ethical Hackers, Information Security Consultants/ Testers/ Analysts/ Engineers, Network Server Administrators, Firewall & System Administrators, Risk Assessment Professionals

     

    Comments

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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 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

 

Course Overview:

In this course, the students will design various data platform technologies into solutions that are in line with business and technical requirements. This can include on-premises, cloud, and hybrid data scenarios which incorporate relational, NoSQL, or Data Warehouse data. They will also learn how to design process architectures using a range of technologies for both streaming and batch data. The students will also explore how to design data security, including data access, data policies, and standards. They will also design Azure data solutions, which includes the optimization, availability, and disaster recovery of big data, batch processing, and streaming data solutions.

TechNow has worked worldwide enterprise infrastructures for over 20 years and has developed demos and labs to exemplify the techniques required to demonstrate cloud technologies and to effectively manage security in the cloud environment.

Attendees to DP-201: Designing an Azure Data Solution will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Course Duration: 3 days

Course Outline:

  • Data Platform Architecture Considerations
  • Azure Batch Processing Reference Architectures
  • Azure Real-Time Reference Architectures
  • Data Platform Security Design Considerations
  • Designing for Resiliency and Scale
  • Design for Efficiency and Operations

Prerequisites :

      • In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses:
      • AZ-900: Microsoft Azure Fundamentals
      • DP-200: Implementing an Azure Data Solution

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