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AI Safety & Data Security For All Employees in 2026 (Udemy.com)

AI Security Course: Data Security | Risk Management | Ethical AI | ChatGPT, Copilot + Claude LLMs | GDPR + AI EU Act

Created by: Michael James

Last updated August 2026

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What you will learn

  • This is THE course EVERYONE needs to take to know how to use AI tools safely in 2026
  • Safely use ChatGPT, Copilot, and Claude at work without exposing sensitive company or client data
  • Prevent AI-related data leaks using proven data sanitization and prompt anonymization techniques
  • Identify and stop Shadow AI risks created by unapproved employee AI usage
  • Apply a simple AI safety framework to decide which tools are safe for public, internal, and confidential data
  • Reduce legal and compliance risk by maintaining proper human-in-the-loop oversight for AI outputs
  • Detect AI hallucinations, misinformation, and fabricated citations before they cause real-world damage
  • Protect intellectual property and avoid copyright or plagiarism risks when generating AI content or code
  • Understand the Regulation & Global Impact of the EU AI Act and GDPR

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Course Description

Right now, you or your employees are using AI to do their jobs.

Whether it is drafting a client email, debugging code, or summarizing a confidential meeting strategy, Generative AI has become the invisible co-worker in your organization.

But here is the problem: Nearly 50% of employees admit to using AI tools without their employer's knowledge.

This is called "Shadow AI," and it is currently the single biggest cybersecurity and legal blind spot facing modern businesses.

When a well-meaning employee pastes a client’s sensitive financial data, your proprietary source code, or a draft of a confidential press release into a public Large Language Model (LLM) like the free version of ChatGPT, that data leaves your control. In many cases, it is used to train the model, meaning your trade secrets could effectively become public knowledge.

It happened to Samsung. Engineers accidentally leaked proprietary code by pasting it into a public chatbot to check for errors. It happened to Air Canada. A chatbot promised a refund policy that didn't exist, and the courts ruled the company was liable for the AI's "hallucination."

Is your team next?

You cannot afford to ban AI—it is too competitive an advantage. But you cannot afford to let your staff use it blindly. You need to bridge the gap between "Don't use it" and "Use it safely."

The Solution: Practical, Standardized AI Safety & AI Security Training

This AI security course is the solution to the Shadow AI problem. It is designed specifically for employees and anyone wanting to use AI safely. It is for business owners, HR directors, and Training Managers who need a plug-and-play solution to upskill their workforce on the risks and responsibilities of using LLMs.

We move beyond vague warnings and provide a concrete operational AI safety framework that employees can apply immediately to their daily AI workflows.

What Your Team Will Learn

This AI security course breaks down complex cybersecurity and legal concepts into digestable, actionable lessons.

  • The "3-Tier" AI Safety Framework: A simple, traffic-light system I have developed to help employees instantly decide which AI tool is safe for which type of data (Public vs. Enterprise vs. Secure).

  • How to Stop Data Leakage: We teach the art of "Data Sanitization"—how to strip PII (Personally Identifiable Information) from prompts so employees can use AI's power without exposing client secrets.

  • Avoiding Legal Liability: Using the Air Canada case study, we demonstrate why "The AI said so" is not a legal defense, and how to keep a "Human-in-the-Loop" to protect the company.

  • The AI Hallucination Trap: How to spot when an AI is lying, fabricating facts, or citing non-existent court cases.

  • AI Copyright & IP Dangers: Understanding who owns the output, and why using AI to generate code or content carries hidden plagiarism risks.

  • AI Bias & Ethics: How to recognize when an AI is reinforcing harmful stereotypes in hiring or customer service.

  • Understand the Regulation & Global Impact of the EU AI Act and GDPR.

Who This AI Safety Course Is For

  • All employees who use AI and LLMs such as ChatGPT or Copilot at work

  • Business Owners who are terrified of a data breach but don't want to lose the productivity gains of AI.

  • HR & L&D Managers looking for a standardized "onboarding" course for AI usage policy.

  • IT Managers struggling to combat Shadow AI and needing a way to educate non-technical staff.

  • Team Leaders who want to encourage innovation but ensure compliance.

Why This AI Safety Course?

Most AI & Data Security courses focus on "How to write better prompts" or "How to make money with AI."

This is the missing manual on SAFETY.

We don't just talk theory. We provide exercises on data security, anonymization challenges, and hallucination hunting. By the end of this course, you or your employees won't just be using AI faster—you will be using it safer.


Key Topics in this AI Safety Course:

  • AI safety & governance

  • Responsible AI usage

  • AI compliance basics

  • Shadow AI & Workplace Risk

  • Workplace AI policy

  • Generative AI & LLM Risks

  • ChatGPT security risks

  • Microsoft Copilot safety

  • Claude AI security

  • Data Protection & Privacy

  • AI data leakage prevention

  • Data sanitization techniques

  • Prompt anonymization

  • AI legal liability

  • AI hallucination risks

  • AI copyright & IP risks

  • Plagiarism risks with AI

  • AI bias detection

  • Ethical AI practices

  • Responsible AI decision-making

  • EU AI Act and GDPR

Your Data is Your Most Valuable Asset. Don't let it leak into a public chatbot.

Enroll your team today. Turn your workforce from your biggest security risk into your strongest line of defense.

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Instructor Details

Michael James

Hi Michael James here. I'm a UK Business and Leadership Instructor specializing in Agile/Scrum, Data Management and Data Science Leadership.

I've been working with Big Data and sensitive large national datasets for almost 20 years and leading on software development projects.

I've have a BA (Hons) Degree in Business Management.

I really enjoy teaching people the business and leadership skills that have taken me years to acquire.

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Reviews

4.5

2,955 ratings on Udemy

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By Theresa M Jensen on 8/9/2026

Key takeaway is that AI should be treated as a helpful assistant, not a final authority. We should always verify AI-generated information, watch for errors or bias, and use human judgment before acting on its recommendations. Used responsibly, AI can improve productivity, but accountability for decisions remains with us.

By Daniel Hemmann on 6/17/2026

Das Rollenspiel sollte es in mehreren Sprachen geben / oder man sollte auch in seiner Landessprache antworten können. Ich verstehe Englisch sehr gut, aber beim sprechen stockt es einfach zu stark.

By Matthew Gardner on 6/17/2026

Incredibly repetitive, low-level content that took far longer to go through than needed. Many of the recorded examples were not even remotely aligned with usage in the workplace. This took entirely too long to get through for the minimal amount of content within.

By Irfan Ahemad on 5/3/2026

This course was a great fit for me, as it provided a comprehensive overview of AI-safety-data-security and effectively prepared me to apply these concepts in both my professional and personal environments.

By Bruce Chivukula on 5/2/2026

Explained very well how the AI tools need to be used without exposing the personal data for individuals and how to restrict the of corporate usage to risk the company's intellectual property. Thanks for the demo presentations for the prompt engineering comparing different LLMs.

By Wolfgang Ehrlich on 4/14/2026

It is a valuable course. I particularly liked the explanation of the legal requirements for use, and the fact that copyright laws apply even to personal use. The role-playing game was a bit tricky for me. I don't like talking to machines, so I wrote instead, but I didn't quite finish. But the course is excellent. Well done.

By Thomas Herrera on 3/29/2026

Many real-world examples of prompts, things to watch out for, and comparisons of the same prompt between different models. Provided more "behind the scenes" information on concepts like chain-of-thought reasoning and how the models approach this. Especially liked the information on using the models to generate the prompts to use with the model! Overall excellent course.

By Peter Calcanis on 3/24/2026

Course was a good match for me in the sense that it provided a good overview for me in preparation to apply what I learned in my professional and personal use settings and applications.

By Andriy Kostyrka on 3/18/2026

The course is great but by the end students will not remember any practical thing. Prompting examples should be converted to the training class, so students can try and see the results of the changes they do. Should be done as separate interactive training. The Role Model part crashes all the time and not letting to reach logical end.

By Janice Kelsey on 3/12/2026

This course was a great asset to my AI knowledge. It brings a great awareness to the ways we should and should not use AI, and the precautions we need to take. I felt engaged in the course the entire way through.

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Overall Score : 90 / 100