This is an advanced course that assumes the attendee is a qualified security professional with experience using security tools and understands the concepts behind penetration testing. Courses that build up the expertise that enables a student to succeed in this course is Security+, CEH, CISSP, and any of the GIAC certifications. This course is completely hands-on and utilizes the BackTrack tool suite from backtrack-linux.org. The course covers, in detail, various attacks and tools that are contained in the BackTrack tool suite.
Attendees to TN-335: Advanced Penetration Testing Using Open Source Tools will receive TechNow approved course materials and expert instruction.
Dates/Locations:
No Events
Duration: 5 days
Course Objectives:
Information Security and Open Source Software
Operating System Tools
Firewalls
Scanners
Vulnerability Scanners
Network Sniffers
Intrusion Detection Systems
Analysis and Management Tools
Encryption Tools
Wireless Tools
Forensic Tools
More on Open Source Software
Prerequisites:
Experience in IT Security
Solid basic knowledge of networks and TCP/IP
Experience in command line under Linux and Windows is required
The course teaches students to use the sort, grep, sed, & awk utilities within Unix. Systems administrators, Unix users, & programmers benefit from the course showing them how to use the command line applications of sort, grep, sed, & awk commands as well as using sed & awk scripts that develop the users skills with the full power of these utilities.
Attendees to TN-223: Advanced Shell Programming will receive TechNow approved course materials and expert instruction.
Dates/Locations:
No Events
Duration: 3 Days
Course Objectives:
Sorting files by line or field
Regular Expressions (meta character) with grep commands to locate specific lines in files
Performing non-interactive editing tasks with the sed command
Writing simple sed scripts to perform complex editing tasks
Using awk variables & arrays to sort data
Employing awk programs to manipulate numeric & textual data
Performing formatted printing in awk
Writing simple awk programs to write reports from data files
Using built-in awk functions & defining new functions
Write awk programs that make decisions based on numeric or string comparisons (branches & loops)
Grep, egrep extended metacharacters, combinations-lab advanced combinations- lab Sed
Students should have a basic knowledge of UNIX commands including rm, cp, man, cat, & mkdir. Navigating directory structure using commands such as ls, cp, & pwd. Creating and editing files with the vi editor or text editor. Use of basic programming constructs, & commands such as variables & loops & how to write a simple program in a programming language.
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.