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

Certified Offensive AI Security Professional (COASP) validates the competencies required for practitioners who need to demonstrate offensive AI security skills, emulating adversaries, validating defenses, and leading red-team/blue-team exercises to keep AI resilient, reliable, and auditable

The Certified Offensive AI Security Professional (COASP) equips you to identify and neutralize AI-specific threats before attackers do. And Bridges security, engineering, and data science so controls exist across the full AI life cycle.

Participants will gain hands-on experience to perform end-to-end adversarial testing and deliver defensive validation evidence including the ability to simulate adversarial AI kill chains, Harden AI architectures by secure system prompts, context windows, tool integrations, RAG pipelines, and agent memory, Conducting AI security assessments aligned to MITRE ATLAS, OWASP LLM/ML Top 10, NIST AI RMF, and DoD Test & Evaluation practices , This course covers how to build SOC-ready capabilities for AI-focused detection logic, incident playbooks, and forensic procedures , & how to execute prompt injection, adversarial prompting , Assess AI supply-chain risk , Implement defensive engineering controls and Produce assurance and compliance artifacts.

By the end of the course, learners will be well-prepared to take the Certified Offensive AI Security Professional (COASP) exam and demonstrate the ability to exploit vulnerabilities in LLMs and agents, and build defense that survive real world attacks, learners will master offensive techniques that break AI before the attackers do.

 

Course Outline: 

01. Offensive AI and AI System Hacking Methodology

02. AI Reconnaissance and Attack Surface Mapping

03. AI Vulnerability Scanning and Fuzzing

04. Prompt Injection and LLM Application Attacks

05. Adversarial Machine Learning and Model Privacy Attacks

06. Data and Training Pipeline Attacks

07. Agentic AI and Model-to-Model Attacks

08. AI Infrastructure and Supply Chain Attacks

09. AI Security Testing, Evaluation, and Hardening

10. AI Incident Response and Forensics 

 

Prerequisites: 

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

 

Dates/Locations:

No Events

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)

 

 

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
 

Course Overview:

TechNow’s TN-911: Cyber Threat Intelligence (CTI) Analysis and 800-172 Updates Seminar, is a one day seminar that covers the objectives of TechNow’s TN-905: Cyber Threat Intelligence Analysis five day course in a one day seminar format plus some other security enhancements of 800-172.  Upon request, this seminar can be presented in multi-day format based upon the depth of knowledge required. The NIST PUB 800-172 security enhancement update to 800-171 regarding 03.11.1 Risk Assessment, introduces the security enhancements of a Threat Awareness Program, Threat Hunting, and Predictive Cyber Analytics.  TN-911 distills the TN-905 CTI five day course and aligns it to assessing compliance with 800-172.  For the seminar, selected course labs are converted to demos, and the important points and outcomes of topics are presented. The TN-911 CTI Seminar discusses the applicability of the 800-172 security enhancements to the organization being assessed, and how to think about the the appropriate strength of the controls related to the organizations criticality of the information and the risk involved for contracted work with the DoD.

TechNow’s TN-911: Cyber Threat Intelligence Analysis Seminar addresses significant changes that have been made to SP 800-172 in transitioning to Revision 3, regarding new enhanced security requirements based on (1) the latest threat intelligence and (2) empirical data from cyber-attacks.  With the intent of addressing CUI that may be associated with a critical program or a high value asset.

Those programs and assets are potential targets for advanced persistent threat (APT).  Cyber Threat Intelligence supports the required functions of NIST 800-172 of Penetration Resistant Architecture (PRA), Damage Limiting Operations (DLO) and Cyber Resiliency (CRS).

Regarding 800-172 This seminar includes:

  • 3.2.1E Awareness Training (rev 3 – Advanced Literacy and  Awareness Training)
  • 3.11.6E Supply Chain Risk Management SCRM (rev 3 withdrawn, moved to other controls)
  • 3.11.7E SCRM Planning (rev 3 withdrawn, moved to other controls)
  • 3.12.1E Penetration Testing
  • 800-172, 3.11 Risk Assessment
    • 03.11.01E Threat Awareness Program
    • 03.11.02E Threat Hunting
    • 03.11.03E Predictive Cyber Analytics.

TN-911 CTI Seminar directly discusses 3.11 topics:

    03.11.01E Threat Awareness Program:

    Share threat information, including threat events of 03.11.01E is specifically covered as:

  • Create Indicators of Compromise (IOCs) using STIX
  • Understand a solution for collecting, storing, distributing and sharing cyber security indicators and threats about cyber security incidents analysis and malware analysis.
  • How to assess an environment to validate:
    • Support for day-to-day operations to share structured threat information efficiently.
    • Confirming the presence of curated, frequently updated feeds, and the automation of enrichment   workflow
    • Contextualization of intelligence with internal data to prioritize alerts and improve detection
    • Updated threat hunting based upon inbound Threat Intelligence

    03.11.02E Threat Hunting:

    Introduction to Threat Hunting practices to effectively search for indicators of compromise and to detect, track, and disrupt threats that evade existing controls.

  • How to assess an environment to validate:
  • A formalized process is being followed for Threat Hunting
    • Phases of trigger (incident or CTI), SIEM utilization, and response
  • Integration of machine learning to provide proactive, automated, and scalable Threat Hunting
  • Leveraging threat intelligence for proactive threat hunting by querying historical logs for indicators of compromise (IOCs) from feeds to identify:
  •  Dormant threats
  •  Advance Persistent Threats (APT)

    03.11.03E Predictive Cyber Analytics

    Introduction leveraging data, machine learning, and real-time analysis with automation to anticipate threats before they occur.

  • How to assess an environment to validate:
    • Data aggregation from network logs, user activities, system logs, and external threat intelligence feeds into a centralized platform like a SIEM
  • Use of machine learning algorithms to identify patterns, uncover correlations, and spot anomalies in real-time
  • Integration with incident response workflows
  • Staff skill competency level and integration into Predictive Cyber Analytics to mitigate advanced adversarial techniques against machine learning such as:
    • Attacks of Evasion, Poisoning, and Model Tampering
    • Utilization of exercises or Red Teaming to validate practices and effectiveness of Predictive Cyber Analytics.

    3.2.1E Awareness Training (rev 3 – Advanced Literacy and  Awareness Training)

  •       Validate that training addresses APT

    3.11.6E Supply Chain Risk Management SCRM (rev 3 withdrawn, moved to other controls)

      Validate cybersecurity supply chain risk management C-SCRM:

  • Cross-functional team responsible for supply chain risk management (SCRM) and C-SCRM
  • Validating standard risk management with respect to supply chain
    • FARM (Frame, Assess, Respond, and Monitor)
    • Tasks outlined in NIST Pub 800-161

    3.11.7E SCRM Planning (rev 3 withdrawn, moved to other controls)

  • This is discussed in topic 3.11.6E

    3.12.1E Penetration Testing

        Validate the organization is progressing through standardized Penetration Testing Protocols.

  • Evaluate Penetration Test reports for completeness and scope.

Attendees to TN-911: Cyber Threat Intelligence (CTI) Analysis and 800-172 Seminar will receive TechNow approved course materials and expert instruction.

Seminar Duration: 1 day (more upon request)

Seminar Objectives:

  • Learn to comprehend and develop complex scenarios
  • Identify and create intelligence requirements through practices such as threat modeling
  • Utilize threat modeling to drive intelligence handling and practices 
  • Breakdown tactical, operational, and strategic-level threat intelligence
  • Generate threat intelligence to detect, respond to, and defeat focused and targeted threats
  • How to collect adversary information creating better value CTI
  • How to filter and qualify external sources, mitigating low integrity intelligence
  • Create Indicators of Compromise (IOCs) in STIX
  • Move security maturity past IOCs into understanding and countering the behavioral tradecraft of threats
  • Breaking down threats mapped against their tradecraft to tweak IOCs
  • Establish structured analytical techniques to be successful in any security role
  • Learn and apply structured principles in support of CTI and how to communicate that to any security role.

Seminar Prerequisites: