This Specialization is designed for post-graduate students aiming to master AI applications in cybersecurity. Through three comprehensive courses, you will explore advanced techniques for detecting and mitigating various cyber threats. The curriculum covers essential topics such as AI-driven fraud prevention, malware analysis, and the implications of Generative Adversarial Networks (GANs). You will gain hands-on experience in identifying anomalies in network traffic, implementing reinforcement learning techniques for adaptive security measures, and evaluating AI model performance against real-world challenges. By completing this Specialization, you will develop a deep understanding of how to secure AI systems while addressing the complexities of adversarial attacks. This knowledge will prepare you to tackle emerging cybersecurity challenges, making you a valuable asset in the rapidly evolving field of digital security. With a focus on practical applications and industry-relevant skills, you will be well-equipped for a career in AI-driven cybersecurity.
Entdecken Sie neue Fähigkeiten mit 30% Rabatt auf Kurse von Branchenexperten. Jetzt sparen.
Spezialisierung für AI for Cybersecurity
Master AI Techniques for Cybersecurity Challenges. Develop expertise in advanced AI techniques to detect and prevent cybersecurity threats, ensuring robust protection against evolving digital risks.
Dozent: Lanier Watkins
3.835 bereits angemeldet
Bei 
enthalten
(59 Bewertungen)
Empfohlene Erfahrung
(59 Bewertungen)
Empfohlene Erfahrung
Was Sie lernen werden
Implement AI-driven techniques for detecting and mitigating advanced malware and network anomalies effectively.
Utilize Generative Adversarial Networks (GANs) to understand and counteract adversarial attacks in AI systems.
Evaluate AI model performance and apply reinforcement learning to enhance adaptive cybersecurity measures.
Überblick
Kompetenzen, die Sie erwerben
- Malware Protection
- Email Security
- Cybersecurity
- Artificial Intelligence and Machine Learning (AI/ML)
- Intrusion Detection and Prevention
- Deep Learning
- System Design and Implementation
- Network Security
- Feature Engineering
- Machine Learning Software
- Authentications
- Anomaly Detection
- Network Analysis
- Cyber Attacks
- Cyber Threat Intelligence
- Threat Detection
- Threat Modeling
- Continuous Monitoring
Werkzeuge, die Sie lernen werden
Was ist inbegriffen?
Zu Ihrem LinkedIn-Profil hinzufügen
Erweitern Sie Ihre Fachkenntnisse.
- Erlernen Sie gefragte Kompetenzen von Universitäten und Branchenexperten.
- Erlernen Sie ein Thema oder ein Tool mit echten Projekten.
- Entwickeln Sie ein fundiertes Verständnisse der Kernkonzepte.
- Erwerben Sie ein Karrierezertifikat von Johns Hopkins University.
Spezialisierung - 3 Kursreihen
Was Sie lernen werden
Use AI techniques to detect and mitigate various cyber threats, protecting digital assets and data.
Develop and apply machine learning models to identify, classify, and filter spam and phishing emails.
Implement AI-driven biometric solutions like keystroke dynamics and facial recognition to enhance user authentication security.
Kompetenzen, die Sie erwerben
Was Sie lernen werden
Understand various types of malware and apply foundational analysis techniques to effectively detect and classify them.
Implement advanced machine learning algorithms, including clustering and decision trees, for efficient malware detection.
Explore anomaly detection techniques using botnet data and learn how to analyze network traffic for unusual patterns.
Collaborate and present research findings on current trends in network anomaly detection, enhancing communication and analytical skills.
Kompetenzen, die Sie erwerben
Was Sie lernen werden
Learn to implement AI-based solutions to detect and prevent credit card fraud in cloud environments.
Explore the fundamentals of Generative Adversarial Networks and their applications in generating synthetic data.
Gain hands-on experience with black-box and white-box adversarial attacks to assess and enhance model resilience.
Master techniques in feature engineering and performance evaluation to optimize AI models for cybersecurity applications.
Kompetenzen, die Sie erwerben
Erwerben Sie ein Karrierezertifikat.
Fügen Sie dieses Zeugnis Ihrem LinkedIn-Profil, Lebenslauf oder CV hinzu. Teilen Sie sie in Social Media und in Ihrer Leistungsbeurteilung.
Dozent
Warum entscheiden sich Menschen für Coursera für ihre Karriere?
Neue Karrieremöglichkeiten mit Coursera Plus
Unbegrenzter Zugang zu 10,000+ Weltklasse-Kursen, praktischen Projekten und berufsqualifizierenden Zertifikatsprogrammen - alles in Ihrem Abonnement enthalten
Bringen Sie Ihre Karriere mit einem Online-Abschluss voran.
Erwerben Sie einen Abschluss von erstklassigen Universitäten – 100 % online
Schließen Sie sich mehr als 3.400 Unternehmen in aller Welt an, die sich für Coursera for Business entschieden haben.
Schulen Sie Ihre Mitarbeiter*innen, um sich in der digitalen Wirtschaft zu behaupten.
Häufig gestellte Fragen
The specialization is designed to be completed at your own pace, but on average, it is expected to take approximately 3 months to finish if you dedicate around 5 hours per week. However, as it is self-paced, you have the flexibility to adjust your learning schedule based on your availability and progress.
You are encouraged to take the courses in the recommended sequence to ensure a smoother learning experience, as each course builds on the knowledge and skills developed in the previous ones. However, you are not required to follow a specific order, and you can take the courses in the order that best suits your needs and prior knowledge.
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
Weitere Fragen
Finanzielle Unterstützung verfügbar,