Deepfake Course
This course provides a practical introduction to creating and detecting deepfakes, emphasizing ethical practices, open-source tools, and privacy-focused design for safe synthetic media management.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Deepfake Course offers a quick and practical way to understand and manage synthetic media. You will learn main methods for face-swapping and generating content, open-source tools, and ethical rules for consent and following policies. You will create and test simple detectors, develop features for visuals, audio, and timing, and plan pipelines that respect privacy, with monitoring and user interfaces for safe and dependable deepfake checking in everyday settings.
Elevify advantages
Develop skills
- Build ethical deepfake pipelines: from preparing data to safely deploying models.
- Use open-source deepfake tools: DeepFaceLab, FaceSwap, FOMM, Avatarify.
- Detect deepfakes: visual, audio, temporal, and frequency-based signs.
- Train compact deepfake detectors: CNNs, MobileNet, EfficientNet-lite, LSTM.
- Design privacy-first UX: clear risk messaging, logging, and monitoring.
Suggested summary
Before starting, you can change the chapters and the 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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