Securing AI and Advanced Topics
Coursera
24 Courses
Johns Hopkins University is a globally recognized research university comprising 9 schools and campuses worldwide. It provides more than 260 degree programs, ranging from undergraduate to graduate and postdoctoral studies.
Overview
In the course "Securing AI and Advanced Topics", learners will delve into the cutting-edge intersection of AI and cybersecurity, focusing on how advanced techniques can secure AI systems against emerging threats. Through a structured approach, you will explore practical applications, including fraud prevention using cloud AI solutions and the intricacies of Generative Adversarial Networks (GANs).
Each module builds upon the previous one, enabling a comprehensive understanding of both offensive and defensive strategies in cybersecurity. What sets this course apart is its hands-on experience with real-world implementations, allowing you to design effective solutions for detecting and mitigating fraud, as well as understanding adversarial attacks.
By evaluating AI models and learning reinforcement learning principles, you will gain insights into enhancing cybersecurity measures. Completing this course will equip you with the skills necessary to address complex challenges in the evolving landscape of AI and cybersecurity, making you a valuable asset in any organization. Whether you are seeking to deepen your expertise or enter this critical field, this course provides the tools and knowledge you need to excel.
University: Johns Hopkins University
Provider: Coursera
Categories: Artificial Intelligence Courses, Machine Learning Courses, Reinforcement Learning Courses, Cloud Computing Courses, Cybersecurity Courses, Model Evaluation Courses, Feature Engineering Courses
