Learning path
AI Deepfakes: When Seeing Isn't Believing
Skill Level
Fundamentals
Duration 1 hour 30 minutes
Updated Nov 5, 2026
About this learning path
Deepfakes have moved from novelty to a real security threat. Realistic fake video, voice, images and documents are now easy to produce, and attackers are using them to impersonate people and trick organizations into acting.
This learning path starts with the fundamentals: what deepfakes are, how they're made, and how they're being used in real attacks. From there, it looks at why detection is harder than it sounds. Even the best tools can be wrong, and the visual and audio "tells" people once relied on are disappearing. You'll learn a simple, repeatable approach to verifying what you see and hear instead, then turn it into practical steps to protect yourself and your organization. You'll finish by applying it in a hands-on challenge lab with realistic scenarios.
Your instructors
Prerequisites
- Basic understanding of AI concepts.
- Be familiar with everyday business communication tools.
- Familiar with the basic idea of social engineering and phishing.
What you'll learn
- Define what AI deepfakes are and classify the main types.
- Explain in plain terms how deepfakes are created and understand why the cost, time, and skill required have collapsed.
- Recognize the common red flags, pressure tactics, and multi-channel attack patterns of deepfake-enabled social engineering.
- Summarize the real-world security risks deepfakes pose to organizations and individuals, using documented incidents.
- Explain what deepfake detection and content-provenance technology can and cannot do.