Deepfake Course
This course provides a complete guide to deepfakes, covering generation methods, detection strategies, and ethical practices. Participants will use tools like DeepFaceLab and Faceswap, train lightweight detectors with CNNs and EfficientNet, and create privacy-aware systems to handle synthetic media responsibly in everyday scenarios.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain practical skills in deepfake creation, detection, and ethical management. Master face-swap techniques, open-source tools like DeepFaceLab and Faceswap, and build efficient detectors using CNNs and MobileNet. Learn to engineer features for visual, audio, and temporal analysis while designing privacy-focused pipelines for secure real-world deployment.
Elevify advantages
Develop skills
- Build ethical deepfake systems from data preparation to secure deployment.
- Utilise open-source tools including DeepFaceLab, Faceswap, FOMM, and Avatarify.
- Identify deepfakes through visual, audio, temporal, and frequency analysis.
- Develop efficient detectors using CNNs, MobileNet, EfficientNet-lite, and LSTM.
- Create user interfaces prioritising privacy with risk alerts and monitoring.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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