Mind Technology · Free Course

Privacy by Design in AI Agents for Events

Build the judgement needed to use AI responsibly across event systems. Learn how decisions around access, context, data handling, retention and accountability shape the systems your team builds.

AI Privacy Control Layer
Human directed
◇
Privacy-aware workflow Event AI agent · conceptual model
Attendee data
→
Access controls
→
AI context
Access Authentication & permissions
Context Isolation & separation
Data Training boundaries
Lifecycle Retention & deletion
30 Video lessons across the complete learning experience.
7 Chapter checks to reinforce understanding.
Self-paced Learn when it suits you and return to saved progress.
Certificate Complete the course and required final assessment.
Why This Matters

Useful AI starts with sound judgement.

AI can increase an event team's capacity, but it also changes how information moves through systems. Privacy by Design means making deliberate choices before data becomes difficult to control.

01
More data entry points

AI workflows can receive information from registration, CRM, conversations, documents and connected applications.

02
More context to govern

Teams need to understand what information an agent can access and what should remain isolated.

03
New retention questions

Collection is only one part of privacy. Retention and deletion require deliberate policies.

04
Human accountability remains

Automation does not remove responsibility. Teams still need governance, review and sound decisions.

Learning Outcomes

Learn to ask better questions.

The course translates privacy principles into decisions event professionals can actually use.

01
Identify where data enters an AI workflow

Map information entry points and recognise where privacy decisions begin.

02
Apply safeguards to access and context

Understand authentication, permissions, context isolation and practical access controls.

03
Make clearer retention decisions

Consider what should be retained, for how long and how deletion should work.

04
Build repeatable privacy practices

Move from abstract privacy statements toward operational habits and review processes.

Privacy by Design

Think across the full data lifecycle.

Privacy is not a single checkbox. It is the result of connected decisions across access, context, data use, retention and accountability.

01 Access
→
02 Context
→
03 Data Use
→
04 Retention
→
05 Accountability
Course Structure

Seven chapters. One practical system.

Across 30 lessons, the course moves from privacy foundations into access, data handling, context separation, retention and practical application.

The themes below describe the learning areas covered across the course. The learner environment contains the complete lesson-by-lesson structure.
01
Foundations The privacy challenge in AI-assisted workflows

Why agentic systems change questions about information movement, responsibility and trust.

02
Access Authentication & access control

Stronger authentication, permissions and the role of MFA in protecting access.

03
Data Use Training boundaries & user data

How data-use boundaries affect privacy, including training and consent questions.

04
Data Lifecycle Deletion & retention controls

User-controlled deletion, retention practices and the value of clear lifecycle controls.

05
Context Randomization & isolation

How context separation and isolated sessions reduce unnecessary information crossover.

06
Architecture How randomization enhances privacy

Linkability, attack resistance and the privacy advantages of separating contexts.

07
Application Case study & broader applicability

Connect the principles to regulated environments and event-industry workflows.

How It Works

Learn. Check. Apply. Demonstrate.

Short-form video learning, chapter checks and a final assessment reinforce understanding throughout the experience.

Step 01 Watch the lessons

Work through 30 video lessons at your own pace.

Step 02 Check understanding

Complete seven chapter checks as you progress.

Step 03 Apply the thinking

Relate the principles to systems and workflows you actually use.

Step 04 Complete the assessment

Achieve at least 80% on the final assessment to qualify for certification.

Who It Is For

Built for people making real decisions.

No coding is required. The course is for professionals who need enough understanding of privacy and AI to make better operational choices.

Event organisers

Teams introducing AI into planning, attendee support and event operations.

Association teams

Professionals managing member, education and event data across connected systems.

PCOs

Teams coordinating suppliers, technology, attendees and multiple data flows.

Marketing teams

Professionals using AI for content, segmentation, research and communications.

Technology professionals

People responsible for platforms, integrations and practical AI implementation.

Decision-makers

Leaders who need to ask stronger questions before approving AI-enabled workflows.

Access & Certification

Practical learning. No paywall.

Registration and course access are free. Complete the learning path and assessment requirements to qualify for certification.

Course Access
€0

Free registration. No payment or checkout.

Register for free →
Learning 30 video lessons

A structured learning path designed for practical industry application.

Understanding Seven chapter checks

Reinforce important concepts as you move through the course.

Flexibility Self-paced access

Save progress and return to your account when it suits you.

Certificate 80% final assessment

Complete the requirements and achieve the final assessment threshold.

About the Course

Built for the events industry.

Jorge Quiroz, Founder of Mind Technology
Course Speaker

Jorge Quiroz

Founder · Mind Technology

Jorge works at the intersection of strategy, marketing, technology and events, helping organisations understand how emerging tools can be applied without losing sight of the people, processes and responsibilities behind them.

The course content has been reviewed with professionals from the technology and events industries for practical applicability, reliability and security. Supporting sources are included in the course notes.
Before You Register

Common questions about the course.

Is the course really free?

Yes. Registration and course access are free. There is no payment or checkout.

Do I need technical or coding experience?

No. The course is designed for event professionals who need practical judgement around AI and privacy, not software-development skills.

Can I complete the course at my own pace?

Yes. Your learner account saves your progress so you can return to the course when it suits you.

How do I earn the certificate?

Complete the course requirements and score at least 80% on the final assessment to qualify for the Mind Technology certificate of completion.

Is this legal advice?

No. The course provides practical education. Apply the principles alongside your organisation's policies and the professional advice appropriate to your situation.

Ready to Begin?

Build smarter AI systems. Protect the people behind the data.

Registration is free. Create your learner account, access the complete course and start building a more practical approach to privacy in AI-assisted event workflows.