Course 2 of 4 in this specialization

Detecting and Countering AI-Driven Deception

Coming soon 21 topics Self-paced · Online

Where this comes from

Built from the Wiley title of the same name — professionally edited, technically reviewed, and already relied on by people doing this work.

Source ISBN 9781394222551

How it was built

Sejal Learning Systems rebuilt the book as a course: objectives first, then short video, worked examples, and practice with real feedback. It runs on Coursera at your own pace, with a certificate on completion.

Detecting and Countering AI-Driven Deception is a self-paced online course built from the Wiley title of the same name.

What this course covers

Introduction
Chapter 1: Artificial Social Intelligence
Chapter 2: Social Engineering and Psychological Exploitation
Chapter 3: A History of Technology and Social Engineering
Chapter 4: A History of Language Modeling
Chapter 5: Consciousness, Sentience, and Understanding
Chapter 6: The Imitation Game
Chapter 7: Weaponizing Social Intelligence
Chapter 8: Weaponizing Technical Intelligence
Chapter 9: Multimodal Manipulation
Chapter 10: The Future
Chapter 11: The Quest for Resolution
Appendix A: Bot Automation
Appendix B: LLM Pretext Engineering
Appendix C: CAPTCHA Bypass
Appendix D: Context Manipulation Attacks
Appendix E: Attack Optimization with Monte Carlo Simulations
Appendix F: Autonomous C2 Operations with LLMs
Appendix G: Disembodiment Attacks
Bibliography
Acknowledgments

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Part of a specialization

AI Security, Deepfakes, and Digital Integrity

Implementing Zero Trust Security in the Age of AI
Detecting and Countering AI-Driven Deception
Defending Against Deepfakes and AI Disinformation
Safeguarding Your Organization from Deepfake Threats