TechNow is in no way associated with SANS or GIAC, but has courses that are similar in subject matter:

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We are often asked what is the recommended sequence of classes.  Here is our recommended sequence of classes for The Security Field.

Certified Information Security Manager (CISM)

CT-325 CompTIA Security+ Arrowright TN-825 Certified Information Security Manager

Certified Information Systems Auditor(CISA)

CT-325 CompTIA Security+ Arrowright TN-425 Certified Ethical Hacker Arrowright TN-822: Certified Information Systems Auditor (CISA)

Certified Information Systems Security Professional(CISSP)

CT-325 CompTIA Security+ Arrowright TN-425 Certified Ethical Hacker Arrowright TN-815 CISSP Certification Prep Seminar

 

Course Overview:

The Implementing Cisco Enterprise Wireless Networks (ENWLSI) course gives you the knowledge and skills needed to create a secure wireless network infrastructure and troubleshoot any related issues. You’ll learn how to implement and fortify a wireless network infrastructure using Cisco Identity Service Engine (ISE), Cisco Prime Infrastructure (PI), and Cisco Connect Mobile Experience to monitor and troubleshoot network issues.

Attendees to N-515: Implementing Cisco Enterprise Wireless Network (ENWLSI) will receive TechNow approved course materials, expert instruction, and prepare you to take the 300-430 Implementing Cisco Enterprise Wireless Networks (ENWLSI) exam, which is part of the CCNP® Enterprise certification and the Cisco Certified Specialist – Enterprise Wireless Implementation certification.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • Implement network settings to provide a secure wireless network infrastructure
  • Implement a secure wireless client and troubleshoot wireless client connectivity issues
  • Implement and troubleshoot QoS in wireless networks
  • Implement and troubleshoot advanced capabilities in wireless network services

Prerequisites:

 

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Course Overview:  PA-232: Palo Alto Networks Panorama Manage Multiple Firewalls (EDU-221) Training Class is a two-day course.  Students attending this course will gain an in-depth knowledge of how to configure and manage their Palo Alto Networks Panorama Management Server.  Upon completion of this course, administrators will understand the Panorama server’s role in managing and securing their overall network.  Network professionals will learn to use Panorama’s aggregated reporting to provide them with a holistic view of a network of Palo Alto Networks next-generation firewalls.  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-232: Palo Alto Networks Panorama Manage Multiple Firewalls (EDU-221) Training Course will receive TechNow approved course materials and expert instruction.

 

Dates/Locations:

No Events

Duration: 2 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 Panorama Management Server.

Day 1

  • Module 0 – Introduction & Overview
  • Mod 1: Overview
    • Panorama Solution
    • Deployment Design
  • Mod 2: Initial Configuration
    • Interface Configuration
    • Setup Configurations
    • Device Deployment
    • Configuration Management
  • Mod 3: Templates
    • Templates Overview
    • Common Organization
    • Strategies
    • Configuring Templates
  • Mod 4: Device Groups
    • Device Groups
    • Objects
    • Policies
    • Device Group Commit

 

Day 2

  • Mod 5: Administration
    • Admin Roles and Access
    • Control
    • Commit Procedure
  • Mod 6: Logging and
    • Reporting
    • Logging
    • Application Command
    • Center
    • App-Scope
    • Correlation Objects
    • Reports
  • Mod 7: Log Collectors
    • Plan a Log Collection
    • Deployment
    • Distributed Data Collection
    • Log Deployment
    • Configure Dedicated Log
    • Collector
    • Managed Collector Groups
  • Mod 8: Business Continuity
    • Panorama High Availability
    • Collector Group
    • Redundancy
    • Export Configuration
    • Disk Installation

 

Prerequisites:

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

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Certified AI Program Manager (CAIPM) is EC-Council’s professional certification for people responsible for owning AI decisions and driving execution: business, technology, data, and risk.

The Certified AI Program Manager (CAIPM) Course equips you with hands-on expertise across the full spectrum of AI tools, from conversational AI and image generation to code assistants and audio synthesis.

Participants will learn how to evaluate, deploy, and integrate AI tools into enterprise workflows, understanding not just how they work, but how to leverage them for maximum business impact. This course covers how to assess AI readiness across teams and processes, Prioritize AI use cases tied to business outcomes, Design adoption and rollout roadmaps , Coordinate delivery across cross-functional teams, implement governance, Responsible AI, and security controls , and how to track performance and ROI to prove value

By the end of the course, learners will be well-prepared to take the Certified AI Program Manager (CAIPM) exam and demonstrate the ability to own AI initiatives end to end , validate mastery of decision framing and trade-off analysis for AI initiatives and Apply governance, ethics, and risk management principles across the AI lifecycle.

Course Objectives:

•MLOps Principles: Model life cycle management for scalable, production-ready AI
•Use Case Evaluation: ROI-driven assessment and prioritization of AI initiatives
•AI Strategy Frameworks: Enterprise AI roadmapping, portfolio planning, and value prioritization
•AI Investment Justification: Quantifying AI value, ROI, and mission impact for funding decisions
•Change Management: Workforce enablement and stakeholder alignment
•KPI Development: AI metrics, success indicators, and executive dashboards
•AI Governance: Risk, ethics, compliance, and responsible AI principles
•Vendor Evaluation: AI platform and tool selection aligned with enterprise needs

Dates/Locations:

No Events

Prerequisites: Familiarity with generative AI concepts, prompt engineering fundamentals, and AI workflows will help you succeed.