Courses · Intermediate · 3 h 30 min
Deepfakes and AI-Generated Content
Professional training to assess AI-generated images, videos, voices and texts: understand the models, inspect methodically, read provenance data (C2PA, watermarks), thwart cloned-voice and video-call fraud, cover political deepfakes without amplifying them and build a protection protocol for your organisation.
What you will learn
- Explain how diffusion models, GANs, large language models, voice cloning and face swapping work, and what each can and cannot yet do
- Inspect a suspicious image, video or audio file using a systematic checklist, weighing each clue and taking compression and confirmation bias into account
- Spot text or a website mass-produced by AI by checking claims, quotes and sources rather than style
- Read a Content Credentials manifest on contentcredentials.org/verify and state precisely what it proves and what it does not
- Thwart cloned-voice or video-call fraud with call-backs to known numbers, code words and out-of-band verification
- Cover a political deepfake or a non-consensual intimate fake without amplifying it or feeding the liar’s dividend
- Draft a verification protocol and a deepfake incident response plan for a company or institution
- Carry out a full analysis of suspicious content through to a conclusion proportionate to the evidence
Syllabus
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1
Understanding generative AI: how synthetic content is made 25 min · 5-question quiz
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2
Inspecting an image, video or audio file: method and limits 30 min · 5-question quiz
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3
AI-generated text, content farms and fake news sites 25 min · 5-question quiz
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4
Provenance: C2PA, Content Credentials, watermarks and labels 25 min · 5-question quiz
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5
Cloned voices, faked video calls and fraud 25 min · 5-question quiz
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6
Deepfakes, elections and public life 25 min · 5-question quiz
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7
Protecting your organisation: the anti-deepfake plan 30 min · 5-question quiz
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8
The complete method for suspicious content, and an end-to-end case 25 min · 5-question quiz
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Final exam and certificate30 questions · 80% required