TTAI2141AI Security Essentials for Non-Technical Professionals

About the Course

TTAI2141AI Security Essentials for Non-Technical Professionals is a foundational, one-day course designed to teach non-technical staff the essential concepts of AI security, cybersecurity awareness, and risk management in the modern workplace. The course explains how AI systems work at a high level, how attackers exploit AI-powered tools, and what individuals can do to protect themselves and their organizations from emerging threats such as deepfakes, data-poisoning, and AI-driven fraud.

Through real-world examples, practical guidance, and interactive discussions, participants learn how to identify AI-related risks, recognize manipulation attempts, understand vendor and data-privacy concerns, and confidently participate in organizational security decisions. This course empowers employees to safely use AI tools while preventing avoidable security incidents.


Audience Profile

This course is intended for:

  • Business professionals who use or interact with AI tools

  • Project managers, analysts, HR staff, administrative personnel

  • Procurement or vendor-management teams evaluating AI products

  • Non-technical teams who must understand AI-security implications

  • Anyone needing a practical, non-technical introduction to AI risks and cybersecurity fundamentals

No prior cybersecurity or programming background is required.


Prerequisites

  • Basic computer and internet usage skills

  • General understanding of workplace technology

  • No technical or security expertise necessary


Course Objectives

By the end of the course, participants will be able to:

  • Explain what AI, machine learning, and deep learning are in business terms

  • Understand how AI systems operate and why they create new security risks

  • Identify AI-specific threats such as data-poisoning, model manipulation, and adversarial attacks

  • Recognize AI-powered fraud, deepfakes, phishing, and social-engineering attempts

  • Evaluate security risks when using AI tools or selecting AI vendors

  • Follow best practices for protecting organizational data when interacting with AI

  • Support and strengthen an AI-security culture within the organization

  • Understand the human role in preventing AI-driven incidents

  • Apply practical steps for safe AI usage in daily workflows

What’s included?

  • Authorized Courseware
  • Intensive Hands on Skills Development with an Experienced Subject Matter Expert
  • Hands-on practice on real Servers and extended lab support 1.800.482.3172
  • Examination Vouchers & Onsite Certification Testing- (excluding Adobe and PMP Boot Camps)
  • Academy Code of Honor: Test Pass Guarantee
  • Optional: Package for Hotel Accommodations, Lunch and Transportation

With several convenient training delivery methods offered, The Academy makes getting the training you need easy. Whether you prefer to learn in a classroom or an online live learning virtual environment, training videos hosted online, and private group classes hosted at your site. We offer expert instruction to individuals, government agencies, non-profits, and corporations. Our live classes, on-sites, and online training videos all feature certified instructors who teach a detailed curriculum and share their expertise and insights with trainees. No matter how you prefer to receive the training, you can count on The Academy for an engaging and effective learning experience.

Methods

  • Instructor-Led (the best training format we offer)
  • Live Online Classroom – Online Instructor-Led
  • Self-Paced Video

Speak to an Admissions Representative for complete details

StartFinishPublic PricePublic Enroll Private PricePrivate Enroll
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12/29/20251/2/2026
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Curriculum AI Security Essentials for Non-Technical Professionals

Module 1.0 – Introduction to AI and Security Risks Defining Artificial Intelligence, Machine Learning, and their business applications. Understanding the difference between traditional IT security and AI security. Identifying common AI vulnerabilities (e.g., data poisoning, model evasion).


Module 2.0 – Data Security and the AI Lifecycle The critical role of data in AI: collection, cleaning, and labeling. Data privacy and protection requirements for AI systems (GDPR, HIPAA implications). Managing the security of training data sets and deployed model inputs.


Module 3.0 – AI Governance and Risk Management Establishing an AI Governance framework for the enterprise. Assessing and prioritizing AI-related business risks. Defining organizational roles and responsibilities for AI oversight.


Module 4.0 – Responsible AI and Ethical Concerns Understanding algorithmic bias and its business consequences. Establishing principles for fairness, transparency, and accountability in AI. Non-technical strategies for bias detection and mitigation.


Module 5.0 – Regulatory and Compliance Landscape Overview of current and emerging AI regulations (e.g., EU AI Act, NIST). Ensuring compliance of AI systems with existing industry and corporate policies. Documenting AI models for auditability and compliance checks.


Module 6.0 – Model Protection and Deployment Security Understanding model theft, inversion, and intellectual property risks. Non-technical controls for securing model deployment environments. Strategies for safe human-AI interaction and feedback loops.