TN-245: Telecommunications Fundamentals

Course Overview:

This comprehensive course provides you with an in-depth understanding of the current telecom landscape and how voice is migrating from a circuit- to a packet-switched network. You will learn how to evaluate existing technology options to determine which will best meet your organization's data and telephony requirements, from mature digital transport/access services to emerging voice and data services using voice over packet technologies.

Attendees to TN-245: Telecommunications Fundamentals will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 days

Course Objectives:

The Current State of the Telecom Industry
Telecom Service Providers
Digitalizing Voice
Communication Mediums and Multiplexing
Carrier Access: Customer-to-Carrier Connections
Broadband Access
Enterprise Networks
Carrier Transport Services
Data Communications and Packet-Switched Networks
Migrating Voice from Circuit-to-Packet-Switched Networks
Carrier Data Services
Ethernet Services
Remote Access Virtual Private Networks (VPNs)
Video Technology and Services
Current Mobile Wireless Services
Fixed Mobile Convergence (FMC)
Worldwide Interoperability for Microwave Access (WiMax)
Multimedia Subsystem (IMS)

Prerequisites:

None

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TN-865: Wireshark Network Traffic and Security Analysis

Course Overview:

This course delivers the technical knowledge, insight, and hands-on training to receive in-depth knowledge on Wireshark® and TCP/IP communications analysis. You will learn to use Wireshark to identify the most common causes of performance problems in TCP/IP communications. You will learn about the underlying theory of TCP/IP and the most used application protocols, so that you can intelligently examine network traffic for performance issues or possible Indicators of Compromise (IoC).

Duration: 5 Days

Audience:

Anyone interested in learning to troubleshoot and optimize TCP/IP networks and analyze network traffic with Wireshark, especially network engineers, information technology specialists, and security analysts.

Course Prerequisites:

We recommend that attendees of this course have the following prerequisite:
• Network+

Dates/Locations:

No Events

Course Outline:

DAY ONE

Course Set Up and Analyzer Testing

Network Analysis Overview
Wireshark Functionality Overview
Capturing Wired and Wireless Traffic
Define Global and Personal Preferences for Faster Analysis
Defined Time Values and Interpret Summaries
Interpret Basic Trace File Statistics to Identify Trends
Create and Apply Display Filters for Efficient Analysis

DAY TWO

Follow Streams and Reassemble Data
Use Wireshark’s Expert System to Identify Anomalies
TCP/IP Analysis Overview
Analyze Common TCP/IP Traffic Patterns

DAY THREE

Graph I/O Rates and TCP Trends
802.11 (WLAN) Analysis Fundamentals
Voice over IP (VoIP) Analysis Fundamentals
Network Forensics Fundamentals

DAY FOUR

Detect Scanning and Discovery Processes
Analyze Suspect Traffic

DAY FIVE

Use Command‐Line Tools

CL-345: Red Hat OpenStack Administration II

Course Overview:

The focus of this course is managing Red Hat OpenStack Platform using the unified command-line interface, managing instances, and maintaining an enterprise deployment of OpenStack. This course also teaches the management and customization of an enterprise deployment of OpenStack (overcloud) and how to manage compute nodes with Red Hat OpenStack Platform director (undercloud).

Attendees to CL-345: Red Hat OpenStack Administration II will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Prerequisites:

This course is intended for Linux system administrators, cloud administrators, cloud operators, and infrastructure architects interested in, or responsible for, maintaining a private or hybrid cloud.

Prerequisites for this course is Red Hat Certified System Administrator (RHCSA), or demonstrate equivalent experience.

Attend Red Hat OpenStack Administration I: Core Operations for Cloud Operators (CL115), or demonstrate equivalent experience

Course Outline:

Navigate the Red Hat OpenStack Platform architecture
Describe the OpenStack control plane
Integrate Identity Management
Perform image operations
Manage storage
Manage OpenStack networking
Manage compute resources
Automate could applications
Troubleshoot OpenStack operations
Comprehensive review

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TN-999: Reverse Engineering Malware Course

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

Comments

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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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TN-413: Certified AI Program Manager (C|AIPM)

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)