Data Protection & Privacy for Leaders & Project Managers

Executive Summary

• You will learn about the eyewatering costs and the reputational damage to organisations when things go wrong with data privacy and protection

• If you can get your organisation to adopt data ethics faster, you can then unlock responsible innovation, growth and better outcomes from your IT & AI projects

• Your route to success can no longer ignore the need for a better data culture, and we will explain why

• You can mitigate the scary risks outlined in this course through the adoption of standards

• And yes, we will cover GDPR and E-Privacy

New for 2026: From Data Protection to AI Governance

• We are now seeing a clear trend: data protection and privacy professionals are increasingly becoming the natural candidates to step into AI governance roles.

• This course is evolving to support that transition.

• Building on the strong foundations in data protection, we are expanding the course to address the realities of AI systems, including Large Language Models (LLMs) and Generative AI.

• These technologies are advancing rapidly, but they also introduce significant privacy, ethical, and governance challenges.

  What’s new:

  • New modules focused on LLMs and Generative AI

  • Practical insights into how data flows through AI systems

  • Expanded coverage of ethics, risk, and governance in AI

  New content is being released on an ongoing basis, with several lectures already live and available to you.

  This approach ensures the course stays current, relevant, and aligned with real-world developments — helping you move from traditional data protection into the emerging field of AI governance.

Who

We’ve written this course with three types of personas in mind. If you fit within one of the following categories, the course is for you.

• High-level executives and managers who need a helicopter view

• IT Professionals who need direction to deliver projects

• Ninjas, the techies and specialists who need to be more granular

Why Talking About These Topics is so Hard?

You have probably found some resistance if you have ever tried to talk about GDPR. Typically people are not interested, and the topic is boring. They say the issues raised get in the way of doing “real” business. On the other hand, artificial intelligence is a more sexy subject. So why aren’t we “doing” more AI? We’ve found people run away from privacy and protection with ill-thought-through excuses or misunderstandings presented as reasons for why we should be doing something else.

A cursory look through business journals or the IT press should reveal we are heading towards a road crash. Take a look at the GDPR fines handed out to Google, Facebook and many other blue-chip companies. If you then factor in class action consequences that could reach, in one example, $1Billion, then you see the extent of the problem. Oversights and data breaches hand lawyers reasons to extract huge sums from corporates.

How can this course help you?

Cybercrime is on the rise, and in our businesses, we prefer to focus on getting to the AI promised land faster. What if we could have it all? What if we could reduce our risks to hackers and derive real value from our data? We will not promise you the earth but suggest that a detour to take in the Data Protection and Privacy landscape will provide you with a new global view for improved innovation to help you and your organisation drive forward.

Overview

• This course will explore the Wild Wild West of Data to show you why we must care

• There are consequences for not taking the right kinds of action

• We will map out the global standards and legal frameworks to end our journey on data ethics

• We will make the case that you will achieve better AI results if you have first crafted a better data culture

  
  

Assignments

We have created three special assignments to test and reinforce the ideas and concepts introduced.

• We will pick apart a Tim Cook (Apple) speech given at a data privacy conference

• Could a loss of biometric data have disastrous effects? We will explore a horrifyingly real-world example

• Before we say goodbye to you. Our journey will end on a task for you to improve the blueprints for a new search engine that respects data protection and privacy

Join us on a journey that is more than just a rehash of GDPR. Let’s move from a dull worldview to a vision of possibilities and opportunities. Take the course now to find your data protection and privacy voice!

A better understanding of the Data Privacy and Protection world is not a luxury; it is an urgent need. You have nothing to lose. Enrol now.

Use of AI Disclosure

Our course discusses Data, AI, LLMs, and GenAI. For this reason, we have been very careful in how we use AI to better deliver content for our students.

We are human-led and share our own experiences, using AI as a supporting tool. Typically, we use AI for:

• Research and fact-checking

• Red teaming course content

• Ensuring alignment with course objectives

The most visible use of AI is in generating background images to add visual interest and keep students engaged. Images are created to illustrate ideas and concepts that align with the content. For example, when we use a Boeing case study to explain engineering ethics, the supporting images feature jet planes in either cartoon or photorealistic format.

All instructor videos and voice-overs are authentic output from the instructor. The only exceptions occur in gamification elements or assignments where we intentionally challenge students to distinguish between human and AI-generated content.