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

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

TN-535: Certified Forensic Computer Examiner (CFCE)

CCFE Core Competencies

  • Procedures and Legal Issues
  • Computer Fundamentals
  • Partitioning Schemes
  • Data Recovery
  • Windows File Systems
  • Windows Artifacts
  • Report writing (Presentation of Finding)
  • Procedures and Legal issues
  1. Knowledge of search and subjection and rules for evidence as applicable to computer forensics.
  2. Ability to explain the on-scene action taken for evidence preservation.
  3. Ability to maintain and document an environment consolidating the computer forensics.
  • Computer Fundamentals
  1. Understand BIOS
  2. Computer hardware
  3. Understanding of numbering system (Binary, hexadecimal, bits, bytes).
  4. Knowledge of sectors, clusters, files.
  5. Understanding of logical and physical files.
  6. Understanding of logical and physical drives.
  • Partitioning schemes
  1. Identification of current partitioning schemes.
  2. Understanding of primary and extended partition.
  3. Knowledge of partitioning schemes and structures and system used by it.
  4. Knowledge of GUID and its application.
  • Windows file system
  1. Understanding of concepts of files.
  2. Understanding of FAT tables, root directory, subdirectory along with how they store data.
  3. Identification, examination, analyzation of NTFS master file table.
  4. Understanding of $MFT structure and how they store data.
  5. Understanding of Standard information, Filename, and data attributes.
  • Data Recovery
  1. Ability to validate forensic hardware, software, examination procedures.
  2. Email headers understanding.
  3. Ability to generate and validate forensically sterile media.
  4. Ability to generate and validate a forensic image of media.
  5. Understand hashing and hash sets.
  6. Understand file headers.
  7. Ability to extract file metadata from common file types.
  8. Understanding of file fragmentation.
  9. Ability to extract component files from compound files.
  10. Knowledge of encrypted files and strategies for recovery.
  11. Knowledge of Internet browser artifacts.
  12. Knowledge of search strategies for examining electronic
  • Windows Artifacts
  1. Understanding the purpose and structure of component files that create the windows registry.
  2. Identify and capability to extract the relevant data from the dead registry.
  3. Understand the importance of restore points and volume shadow copy services.
  4. Knowledge of the locations of common Windows artifacts.
  5. Ability to analyze recycle bin.
  6. Ability to analyze link files.
  7. Analyzing of logs
  8. Extract and view windows logs
  9. Ability to locate, mount and examine VHD files.
  10. Understand the Windows swap and hibernation files.
  • Report Writing (Presentation of findings)
  1. Ability to conclude things strongly based on examination observations.
  2. Able to report findings using industry standard technically accurate terminologies.
  3. Ability to explain the complex things in simple and easy terms so that non-technical people can understand clearly.
  4. Be able to consider legal boundaries when undertaking a forensic examination

TN-345: Python for Penetration Testers

 

Course Overview:

 

This Python for Penetration Testing course is designed to give you the skills you need for maintaining or developing Python Penetration Testing tools oriented towards offensive operations.  We have a suite of courses and certifications that help  understand a problem, this course prepares the student to rapidly develop prototype code to attack or defend against it.

The course concludes with a Capture the Flag event that will test both your ability to apply your new tools and coding skills in a Python Penetration Testing challenge.

This course is not intended to be an Advanced Python course, but to exemplify penetration techniques utilizing Python.  The course covers Threading, Sockets, OOP, and third party modules that facilitate the offensive operator’s objective.

This course utilizes the “Violent Python” text book.

Attendees to TN-345: Python for Penetration Testers Class will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 3 Days

Course Objectives:

  • Python Lanuage Refress
  • Network Sockets
  • Exception Handling
  • Hashes and Cracking Passwords
  • Threading
    • Concepts and Python Implementation
    • Queues and Synchronization
    • urlparse and httplib to probe URLs
    • Crack a password protected zip file
  • Port Scanner
    • Threading a Port Scanner
  • nmap integration
  • Deploying shellcode
  • Mechanize, BeautifulSoup
    • HTTP Form Password Guessing
    • HTTP Proxies (Burp Suite)
    • HTTP Cookies Session Hijacking
      • CookieMonster
  • Images and Metadata
  • Justniffer
  • SQL Injection
    • sqlmap
    • SQLBrute
  • Antivirus and IDS evasion
    • PyInstaller
    • Metasploit
  • Scapy
    • Deploy shellcode
    • DNS Cache Poisoning
    • Packety Violence

Prerequisites:

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CT-415: CompTIA SecAI+

CompTIA SecAI+ is the first certification in CompTIA’s expansion series, designed to help you secure, govern and responsibly integrate artificial intelligence into your cybersecurity operations. You’ll build the skills to defend AI systems, meet global compliance expectations and use AI to enhance threat detection, automation and innovation—so you can strengthen your expertise and help keep your organization’s systems and data secure.

SecAI+ helps you build practical AI security and automation skills on top of your existing expertise, so you can secure AI deployments, use AI‑assisted security tools with confidence, and stay ready for the next step in your cybersecurity career.

Course Objectives:

  • Apply AI concepts to strengthen your organization’s cybersecurity posture
  • Secure AI systems using advanced controls and protections to safeguard data, models, and infrastructure
  • Leverage AI technologies to automate workflows, accelerate incident response, and scale security operations
  • Navigate global GRC frameworks to ensure ethical and compliant AI adoption across industries
  • Defend against AI-driven threats like adversarial attacks, automated malware, and malicious use of generative AI
  • Integrate AI securely into DevSecOps pipelines and enterprise security strategies.

Dates/Locations:

No Events

Prerequisites: Recommended experience: 3–4 years in IT and 2+ years hands-on cybersecurity; Security+, CySA+, PenTest+, or equivalent recommended

SecAI+ (V1) exam objectives summary

     Basic AI concepts related to cybersecurity (17%)

  • Explain core AI principles and terminology: Machine learning, deep learning, natural language processing, and automation.
  • Identify AI applications in security: Use cases for AI in threat detection, defense, and security operations. 
  • Recognize AI-driven threats: Automated phishing, polymorphic malware, adversarial machine learning, and malicious use of generative AI.

Securing AI systems (40%)

  • Implement security controls: Protect AI systems, data, and models using robust technical safeguards. 
  • Secure AI deployment environments: Apply best practices across on-premises, cloud, and hybrid infrastructures. 
  • Mitigate adversarial risks: Defend against attacks targeting AI models, data pipelines, and inference layers. 

AI-assisted security (24%)

  • Enhance detection and response: Use AI-driven tools to identify anomalies, detect threats, and accelerate incident remediation. 
  • Automate security workflows: Integrate AI for event triage, alert correlation, and response orchestration. 
  • Apply AI techniques in operations: Incorporate AI into threat modeling, behavior analysis, and continuous monitoring. 

AI governance, risk, and compliance (19%)

  • Understand regulatory frameworks: Identify global governance requirements and their implications for AI adoption. 
  • Integrate GRC into AI projects: Incorporate governance, risk management, and compliance practices throughout the AI lifecycle. 
  • Ensure responsible AI use: Apply ethical guidelines, legal standards, and industry frameworks such as GDPR and NIST AI RMF.

P-325: Python Programming

Course Overview:

This is an introductory course into the Python scripting language.  This class uses a hands-on approach in teaching the Python language.  This course builds the prerequisite skills for TechNow's P-345: Python for Pentration Testers course.  Getting comfortable with Python is important to understanding how Python can be utilitized for offensive measures.

This course is hands-on with the instructor walking the students through many short examples to exemplify an objective.  Dexterity with the language comes through many small code examples to produce the desired result.  Students have fun acquiring points for all the code examples they get correct.  We must be having fun because TechNow is always amazed at how competitive students are in trying to acquire the most points!  

The instructor will focus on the level that each student is currently at, and ensure the student absorbs the subject matter.  Programming is not a daily tasking of administrators or offensive operators and TechNow understands that.  As an instructor led course TechNow is very successful in making Python accessible to those who do not live eat and breath programming.  If a student's ultimate goal is to attend a course like TechNow's P-345: Python for Pentration Testers course, then not being bogged down in the Python language is critical, and this course (P-325: Python Programming) meets that objective.

Recently we have introduced Raspberry Pi's and multiple sensors to the P-325: Python Programming course.  This enables the student to actually see productive results from their coding skills in the physical world!  Some examples that students create programs for are: Motion detectors, distance, temperature, cameras and keypads.

Attendees to P-325: Python Programming will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • How Python Runs Programs
  • Introducing Python Object Types
    • Numeric Types
    • Dynamic Typing
  • Variables
  • Regular Expressions
  • Strings
  • Conditionals
    • if Tests and Syntax Rules
  • Lists and Dictionaries
  • Tuples and Files
  • Introducing Python Statements
  • Assignments, Expressions, and Prints
  • while and for Loops
  • Iterations and Comprehensions
  • Documentation
  • Function Basics
  • Built-In Functions
  • Scopes
  • Arguments
  • Modules
  • Module Packages and Importing
  • Classes and OOP
  • Operator Overloading
  • Recursion
  • Exception Coding Details
  • Exception Objects
  • Unicode and Byte Strings
  • Working with Raspberry Pi
    • Writing code for sensors

Prerequisites:

  • Experience with some form of programming is preferred

 

Comments

Latest comments from students

User: slewis8435

Instructor comments: Very good instructor - he was excited about the material, very knowledgeable, and explained things clearly.

Facilities comments: The facilities were fine - plenty of room for each student to set up an extra computer and have room for note taking

User: nathan.karras

Instructor comments: Instructor was extremely knowledgeable in programming and scripting. He encouraged students to explore and ask questions. He would work with individuals to troubleshoot lab problems sets. Would highly recommend as an instructor.

Facilities comments: Room got a little warn. Instructor purchased fans to cool things off for the class. Projector had over scan.

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