Mastering Deepfake Technology: From Creation To Detection

Mastering Deepfakes: Creation, Detection, and Ethical Implications

What you'll learn

The fundamentals of deepfake technology, including key tools and concepts.

How to generate realistic deepfake videos using Tortoise TTS and Wave2Lip.

Advanced techniques for detecting deepfakes in images and videos using CNN models like VGG19.

Ethical considerations and the societal impacts of deepfakes.

Hands-on experience with preprocessing, fine-tuning models, and deploying detection systems.

The role of AI and machine learning in deepfake creation and detection.

Requirements

Basic understanding of Python programming and machine learning concepts.

Familiarity with tools like GitHub and Colab (recommended but not mandatory).

A modern computer with GPU support (for faster processing).

Curiosity and interest in AI, deep learning, and ethical technology use.

Description

Deepfake technology  Deepfake technology, or AI-powered algorithms to produce fake content, is revolutionising media creation while raising critical ethical, cybersecurity, and societal concerns. This comprehensive course equips you with the skills to navigate both the creative and defensive aspects of deepfake technology, preparing you to tackle challenges and leverage opportunities in this rapidly evolving field.You’ll start with the fundamentals, exploring tools like Tortoise TTS for voice cloning and Wav2Lip for synchronising lip movements, gaining hands-on experience in generating hyperrealistic deepfake videos. In the detection segment, you’ll dive deep into advanced AI techniques, leveraging powerful CNN models like VGG19 to identify manipulated images and videos with precision and accuracy. The course also includes practical guidance on preprocessing data, fine-tuning models, and deploying detection systems effectively.Beyond technical skills, the course delves into the societal and ethical implications of deepfakes, addressing their role in spreading misinformation, creating non-consensual content, and challenging trust in digital media. You’ll also explore global regulatory frameworks, laws, and policies aimed at combating the misuse of this groundbreaking technology.Whether you’re an AI enthusiast, content creator, cybersecurity professional, or researcher, this course offers end-to-end learning, blending technical expertise with real-world applications, ethical considerations, and a forward-looking perspective on the future of deepfake technology.

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Course Overview

Lecture 3 Course Content

Section 2: Deepfake Generation and Application

Lecture 4 Generation and Application

Lecture 5 Quiz

Section 3: Deepfake Detection

Lecture 6 Deepfake Detection

Lecture 7 Evaluating VGG19 for Deepfake Image Detection

Section 4: Deepfake Social Impact

Lecture 8 Social Impact

Lecture 9 Deepfake Fraud: Financial Scams and AI's Growing Threat Use Case

Section 5: Tortoise TTS

Lecture 10 Tortoise TTS

Lecture 11 Step-by-Step Guide: Generating Deepfake Voices with Tortoise TTS

Section 6: Wav2Lip

Lecture 12 Wav2Lip

Lecture 13 Synchronising Speech and Lip Movements: Step-by-Step Guide to Deepfake Creation

Students and Researchers: Anyone curious about the intersection of AI, ethics, and innovation.,AI Enthusiasts and Professionals: Those looking to expand their expertise in AI-driven technologies.,Content Creators and Media Professionals: Individuals interested in understanding how to leverage deepfake tools ethically and responsibly.,Cybersecurity Experts: Professionals focused on detecting and mitigating the misuse of deepfakes.,Policy Makers and Social Scientists: Those interested in understanding the societal and legal implications of deepfakes.