Course Overview:
This course provides security professionals with the skills and knowledge to perform vulnerability and compliance scanning of supported operating systems, devices, and applications. Students will construct custom scan policies for topology discovery, network vulnerability detection, credentialed patch audits, and compliance benchmarks, and discuss the underlying technologies utilized by the Nessus scanner.
This course provides students with the necessary information to prepare for the Tenable Certified Nessus Auditor (TCNA) exam.
Date/Locations:
No Events
Duration: 5 days
Course Objectives:
- Introduction to Nessus and Vulnerability Scanning
- Nessus Installation and Administration
- Basic Nessus Scan Operation
- Nessus Scan Configuration and Policy Creation
- Vulnerability Analysis and Reporting with Nessus
- Advanced Scan Configuration and Policy Creation
- Introduction to Compliance and Auditing
- Nessus Auditing Features
- Windows System Auditing
- Unix System Auditing
- Cisco IOS Auditing
- Nessus Database Auditing
- Nessus Content Auditing
- Auditing to Industry Guidelines
- Auditing to Federal Guidelines
Prerequisites:
Students should possess a basic understanding of TCP/IP networking, operating systems security, and common client/server applications.
Comments
Latest comments from students
Liked the class? Then let everyone know!
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