AI is becoming a powerful part of digital marketing, analytics, business and everyday work. But using AI effectively also means knowing what information to share, what access to provide, what outputs to trust and when a human must stay in control.

The AI Safety Masterclass teaches you how to use AI productively while reducing avoidable risks such as data leakage, sensitive information exposure, prompt injection, unsafe AI-generated code, excessive AI permissions, client confidentiality breaches, misleading AI outputs and unwanted automated actions.

This is a practical AI safety course designed for digital marketers, performance marketers, marketing analysts, business owners, founders, agencies, freelancers and professionals who use AI in their work.

You will learn how to:

• Classify information before giving it to AI
• Identify public, internal, confidential and highly sensitive information
• Minimize the data you share with AI
• Anonymize client, customer and business information
• Safely use screenshots, reports, analytics data and campaign data with AI
• Protect passwords, API keys, access tokens and other credentials
• Understand consumer AI vs business and enterprise AI environments
• Recognize direct and indirect prompt injection
• Treat external webpages, documents and retrieved content as untrusted input
• Understand the additional risks of AI agents and connected tools
• Apply least-privilege access to AI systems
• Decide when AI can recommend, prepare, draft or execute an action
• Verify AI-generated answers, analysis, code and recommendations
• Use AI more safely with Google Ads, Meta Ads, GA4, GTM and Looker Studio
• Protect client information when working in agencies and freelance environments
• Understand shadow AI and uncontrolled use of AI tools at work
• Identify risks created by plugins, connectors, APIs and other AI supply-chain dependencies
• Build practical AI safety SOPs and checklists for everyday work
• Create human approval gates before high-impact AI actions
• Respond appropriately when sensitive information is accidentally shared
• Build a repeatable AI safety framework for yourself or your business

The course focuses on practical situations rather than cybersecurity theory.

You will work with real-world marketing and business scenarios involving campaign data, analytics reports, screenshots, customer information, client documents, AI-generated code, connected tools and AI-assisted automation.

By the end of the course, you will have a practical framework for deciding:

What can I safely share with AI?

What should I anonymize first?

Which AI environment should I use?

What access should I give?

Can I trust this AI output?

Can AI take this action?

When does a human need to approve it?

The goal is not to stop using AI.

The goal is to use AI with better judgment, better controls and better operating discipline.

AI should increase your capability without unnecessarily increasing your risk.