Board Infinity

AI-Powered Deepfake Detection: Image, Video & Audio

Board Infinity

AI-Powered Deepfake Detection: Image, Video & Audio

Board Infinity

Instructor: Board Infinity

Included with Coursera PlusLearn more

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

6 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

6 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand how deepfakes are created GANs, diffusion models and voice cloning and why each generation method leaves different detectable artifacts.

  • Detect synthetic audio and cloned voices using spectral analysis, prosodic anomaly detection, and AI-based voice authentication

  • Build a structured detection workflow that moves from initial suspicion through forensic analysis to a documented, confidence-scored verdict.

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Recently updated!

September 2026

Assessments

6 assignments

Taught in English

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There are 3 modules in this course

This module builds the foundation you need before evaluating whether media is authentic or synthetic. You will examine what deepfakes are, why they have become a pressing enterprise risk, and how the underlying generation methods—from GANs and autoencoders to Diffusion Models and voice cloning—shape the artifacts investigators look for later. Through concrete attack examples and enterprise threat scenarios, you will connect technical creation methods to real business consequences in security, compliance, communications, and trust.

What's included

6 videos2 assignments

This module is the practical detection core of the course, showing you how professionals evaluate suspicious media across images, video, and audio. You will learn to inspect visual and temporal artifacts, use forensic analysis tools, interpret AI detector outputs, examine synthetic speech patterns, and verify provenance through metadata and content credentials. You will also explore the limits of each method, including adversarial evasion and detector generalization problems, so you can make measured, evidence-based judgments rather than rely on any single signal.

What's included

7 videos2 assignments

This module turns detection knowledge into organisational action. You will build a practical response framework for synthetic media threats by working through incident response planning, executive identity protection, secure communication controls, content authentication at scale, employee awareness training, and the legal and ethical issues that shape enterprise policy. The result is a set of defence practices you can use to reduce fraud risk, protect reputation, and strengthen digital trust across your organisation.

What's included

6 videos2 assignments

Instructor

Board Infinity
Board Infinity
285 Courses471,791 learners

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Board Infinity

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