Wenn Sie sich für diesen Kurs anmelden, werden Sie auch für diese Spezialisierung angemeldet.
Lernen Sie neue Konzepte von Branchenexperten
Gewinnen Sie ein Grundverständnis bestimmter Themen oder Tools
Erwerben Sie berufsrelevante Kompetenzen durch praktische Projekte
Erwerben Sie ein Berufszertifikat zur Vorlage
In diesem Kurs gibt es 6 Module
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.
This course provides a comprehensive exploration of AI-based solutions for credit card fraud detection, emphasizing the implementation and evaluation of advanced algorithms, including Generative Adversarial Networks (GANs). Students will gain practical experience in executing adversarial attacks and optimizing machine learning models, enhancing their ability to develop robust AI systems. Through hands-on projects, participants will synthesize knowledge to address real-world challenges in fraud detection and model resilience.
Das ist alles enthalten
2 Lektüren
Infos zu Modulinhalt anzeigen
2 Lektüren•Insgesamt 12 Minuten
Course Overview•10 Minuten
Instructor Biography - Lanier Watkins•2 Minuten
Fraud Prevention with Cloud AI Solutions
Modul 2•3 Stunden abzuschließen
Moduldetails
In this module, we study the background of threats that prevent credit card fraud. Then, we investigate hands-on credit card fraud detection implementations. Also, we discuss metrics to evaluate the performance of credit card fraud detection algorithms.
Das ist alles enthalten
2 Videos3 Lektüren3 Aufgaben
Infos zu Modulinhalt anzeigen
2 Videos•Insgesamt 14 Minuten
Credit Card Fraud Prevention with AI•4 Minuten
Credit Card Fraud Prevention: IBM Watson Example•10 Minuten
3 Lektüren•Insgesamt 65 Minuten
Reading References•10 Minuten
Reading References•10 Minuten
Self-Reflective Reading: Understanding of AI Fraud Prevention Tools•45 Minuten
3 Aufgaben•Insgesamt 90 Minuten
Fraud Prevention with Cloud AI Solutions•60 Minuten
Credit Card Fraud Threats and AI Prevention•15 Minuten
Implementing and Evaluating IBM Watson for Fraud Detection•15 Minuten
Introduction to Generative Adversarial Attacks (GANs)
Modul 3•3 Stunden abzuschließen
Moduldetails
In this module, we study generative adversarial networks (GANs) background. Then, we investigate a hands-on GAN implementation and how it can be used to develop synthetic data likely indistinguishable from the real data.
Das ist alles enthalten
2 Videos3 Lektüren3 Aufgaben
Infos zu Modulinhalt anzeigen
2 Videos•Insgesamt 17 Minuten
Introduction to Generative Adversarial Networks (GANs)•9 Minuten
Getting to Know GANs•8 Minuten
3 Lektüren•Insgesamt 70 Minuten
Reading References•15 Minuten
Reading References•10 Minuten
Self-Reflective Reading: Research GANs•45 Minuten
3 Aufgaben•Insgesamt 90 Minuten
Introduction to Generative Adversarial Attacks (GANs)•60 Minuten
Fundamentals of Generative Adversarial Networks (GANs)•15 Minuten
Hands-On GAN Implementation and Synthetic Data Generation•15 Minuten
GANs and Adversarial Attacks
Modul 4•4 Stunden abzuschließen
Moduldetails
In this module, we will discuss black and white-box adversarial attacks. Also, we will explore hands-on implementations of several adversarial attacks.
Das ist alles enthalten
2 Videos3 Lektüren3 Aufgaben1 Unbewertetes Labor
Infos zu Modulinhalt anzeigen
2 Videos•Insgesamt 18 Minuten
Adversarial Attacks Explained•8 Minuten
Hands-On Adversarial Attacks•9 Minuten
3 Lektüren•Insgesamt 65 Minuten
Reading References•10 Minuten
Reading References•10 Minuten
Self-Reflective Reading: GANs and Adversarial Attacks•45 Minuten
3 Aufgaben•Insgesamt 90 Minuten
GANs and Adversarial Attacks•60 Minuten
Understanding Black-box and White-box Adversarial Attacks•15 Minuten
Practical Implementation of Adversarial Attacks•15 Minuten
1 Unbewertetes Labor•Insgesamt 60 Minuten
Practice Lab: Generating Synthetic QR Codes with the Trained Generator•60 Minuten
Reinforcement Learning
Modul 5•3 Stunden abzuschließen
Moduldetails
In this module we will study reinforcement learning (RL) and how it can be used for adversarial attacks. Also, we will study data engineering techniques to optimize datasets to help improve ML model performance.
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
When will I have access to the lectures and assignments?
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.