Data Security in the age of Generative AI in the Workplace

About this course

Are you excited about the power of Generative AI but worried about how to keep your company’s data safe while using it? Do you ever wonder what really happens when you paste information into ChatGPT, Copilot, or Gemini — and whether it’s truly secure?

If you work with AI tools and want to protect sensitive information, prevent data leaks, and build trustworthy AI workflows, this course is for you.

In today’s workplace, Generative AI can write, code, analyze, and automate — but every prompt you type and every output you share can carry hidden risks. This course will help you bridge the gap between AI productivity and data protection, so you can confidently use Generative AI without crossing security or compliance lines.

What makes this course unique

Unlike typical AI safety overviews, this course combines real-world corporate examples, security workflows, and relatable case discussions that connect directly to the way professionals use AI every day. You will see how data actually moves through AI systems, where vulnerabilities appear, and what smart organizations do to close those gaps.

Through engaging video lectures and scenario-based quizzes, you will develop the mindset and habits to stay both productive and compliant in the AI era.

In this course, you will

Identify the trust gap between AI’s power and enterprise data restrictions.

Map the entire GenAI workflow — from training data to inference and outputs — to pinpoint where risks emerge.

Develop safe prompting and data-handling habits that prevent leaks and misuse.

Master prompt injection awareness — understanding how words themselves can become cyberattacks.

Apply practical defense methods like masking, anonymization, and the STOP audit technique.

Adopt a “Validate → Escalate → Approve” review framework to ensure a

Prices, discounts and availability are set by Udemy. We may earn a commission when you purchase through links on this site.