5-lesson course · about 2 hours
Keeping Customer Data and Private Images Out of Unapproved AI Tools
For Canva creators, small-business owners, marketers and brand teams producing presentations, social assets and short videos
Everything for Canva creatorsFor Canva Pro users and small brand teams: learn to classify campaign data, use anonymised stand-ins and image placeholders, and configure team settings to stop private client information from leaking into AI tools.
What you’ll be able to do
By the end, you can…
How it works
A tutor that meets you where you are
- Adaptive lessonsThe course material is not one-size-fits-all. It dynamically adjusts its complexity and depth to match your current skill level as you progress through the modules.
- One-on-one AI tutorYou have a dedicated AI tutor available at all times. You can ask for clarification or deeper examples via typed text or by speaking out loud.
- Active recall toolsTo ensure the privacy workflows stick, every lesson is paired with targeted quizzes and digital flashcards. These tools help you memorize the data classification rules.
- Progress trackingMonitor your mastery of each outcome through a visual progress tracker. Once you complete the final module and assessment, you receive a certificate of completion.
Curriculum
The curriculum
This two-hour course is divided into two modules focused on data classification and team governance.
Module 1Classifying and Protecting Campaign Data3 lessons
1Classifying Private vs Public Campaign Data
- Classify campaign data into public and private categories
- Identify specific types of sensitive data like customer lists and identifying images
2Using Anonymised Stand-ins for Text
- Replace customer names and private details with anonymised stand-ins
- Create prompts using placeholders that maintain the structure of the data without the identity
3Working with Image Placeholders
- Choose appropriate image placeholders to replace identifying client photos
- Establish a workflow for adding private images only after AI-assisted design is complete
Module 2Governance and Policy2 lessons
4Defining Team Permission Settings
- Assign actions to 'always allowed', 'needs approval', or 'never' categories
- Define which AI actions are forbidden regarding private data
5Creating a Written AI Usage Policy
- Write a client-facing AI usage policy
- Outline the specific safeguards used to protect client data (e.g., placeholders, anonymisation)
Who it’s for
Made for you if…
Made for: Canva creators, small-business owners, marketers and brand teams producing presentations, social assets and short videos
Freelance Brand Designers
You manage multiple client accounts and handle sensitive assets. You want to use Canva's AI to speed up production but worry that uploading a client's private photo or internal brief into an unapproved tool could violate your contract.
Small Marketing Teams
Your team uses AI features for recurring campaigns and social assets. You need a standardized workflow to ensure that no team member accidentally pastes a customer email list or private campaign data into a prompt.
Canva Pro Power Users
You have integrated AI into your creative process but lack clear boundaries. You want to learn how to use anonymised stand-ins and placeholders so you can experiment with AI without risking a data leak.
Agency Project Managers
You are responsible for the final output and data safety of your team's work. You need to implement 'always allowed' and 'never' settings to govern how your staff interacts with AI tools and client data.
Questions
Good to know
Do I need a specific Canva account to take this course?
Yes, you will need an active Canva Pro account. The course is designed for Pro users and small brand teams who are already familiar with basic Canva AI features.
Will this course teach me how to write better prompts for aesthetic designs?
No, advanced prompt engineering for aesthetics is excluded from the curriculum. Instead, we focus on how to write prompts using anonymised stand-ins and placeholders to keep data private.
Does this course provide legal advice on international data privacy laws?
No, it does not provide legal advice. The course focuses on establishing practical workflows, classification systems, and team settings to protect campaign information.
What is an 'anonymised stand-in' and how will I use it?
An anonymised stand-in is a placeholder used to replace sensitive data, such as a customer's real name, before you enter it into an AI tool. You will learn how to create prompts that maintain the data structure without revealing the actual identity of the client.
How does the course handle private client photos?
We teach you how to use image placeholders during the AI-assisted design phase. This ensures that identifying client photos are only added to the project after the AI work is complete and the design is finalised.
What are the 'team settings' mentioned in the curriculum?
You will learn how to configure permissions by assigning AI actions to three categories: 'always allowed', 'needs approval', or 'never'. This helps you define exactly which actions are forbidden when handling private data.
Will I learn how to communicate these privacy steps to my clients?
Yes, the second module covers how to create a written AI usage policy. You will learn how to outline the specific safeguards you use, such as anonymisation and placeholders, based on formal company standards.
Is this course for beginners or advanced AI users?
The course is set at an intermediate level. It assumes you have basic experience using Canva AI features and want to establish a professional workflow for protecting sensitive campaign data.