Course Overview:

Intrusion Analyst is a hands-on course that covers intrusion detection in-depth. This includes concepts such as the use of Snort, network traffic analysis, and IDS signatures.

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 of packet and intrusion analysis.

Attendees to TN-979: Intrusion Analyst will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Duration: 5 days

Course Objectives:

  • Advanced Snort Concepts
  • Analyst Toolkit
  • Domain Name System (DNS)
  • Examining Packet Crafting
  • Examining Packet Header Fields
  • Fragmentation
  • ICMP Theory
  • IDS Interoperability
  • IDS Patterns
  • IDS/IPS Management & Architecture Issues
  • Indications, Warnings & Traffic Correlation
  • IPv6
  • Microsoft Protocols
  • Network Traffic Analysis
  • NIDS Evasion, Instertion & Checksums
  • Snort Fundamentals & Configuration
  • Snort GUIs & Sensor Management
  • Snort Performance, Active Response & Tagging
  • Snort Rules
  • Stimulus Response
  • TCPdump Fundamentals
  • TCP/IP Fundamentals
  • Wireshark Fundamentals
  • Writing TCPdump Filters

Course Prerequisites:

  • GSEC or equivalent experience
  • UNIX, Windows, Networking, and Security Experience
  • This is a hands-on skill course requiring comfort with command line interaction and network communications

Comments

Latest comments from students


User: Tosha

Instructor comments: Dave was an excellent instructor. He is very informative and knowledgeable in the course and the material. I have enjoyed the class and I would take another course with him as the instructor.

Facilities comments: Very nice and clean hotel.


User: buckey26

Instructor comments: Dave was one of the best instructors I have ever had for a tech course. He broke down everything to the point where you can understand it internally.


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TechNow has heard many students talk about virtualized/remote training that TechNow Does Not Do.  While training our most recent offering of PA-215: Palo Alto Networks Firewall Essentials FastTrack a student told his story of how he endend up in our course.  His story we have heard for other technologies like Cisco, VMware, BlueCoat and other products.

A large percentage of training is moving to the virtualized/remote lab environments.  Students are asked to use some variant of remote access software and remote into the training company's lab environment. Our student in our Palo Alto Networks Firewall course informed us that he went to a very costly offering of that course from the vendor and was not able to perform any labs.  There were either network connectivity issues, or issues with the remote access software, or other problems.  The whole training experience was very frustrating and not productive.

We keep our labs open to students if they would like after hours, or before hours access.  Repeatedly going through a lab engrains that knowledge for later recall.  Touching hardware is so critical in understanding the problems that arise when a cable comes loose, or a cable gets plugged in the wrong port.  There are other scenarios such as just pulling the power cable, or turning off a power strip, or accidently overwriting a configuration.  These disaster scenarious requires hands-on physical access to hardware.  Preventing and recovering from disasters is what it's all about, and that requires hands-on, instructor led, real hardware.

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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Latest comments from students


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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. 

TN-412: Artificial Intelligence Essentials (AI|E)