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Introduction to AI for Cybersecurity · LearnSpace
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courseraIT и технологии

Introduction to AI for Cybersecurity

Курс от Johns Hopkins University
Средний≈ 9.9 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

In "Introduction to AI for Cybersecurity," you'll gain foundational knowledge of how artificial intelligence (AI) is transforming the field of cybersecurity. This course covers key AI techniques and how they can be applied to enhance security measures, detect threats, and secure digital systems. Learners will explore hands-on implementations of AI models using tools like Jupyter Notebooks, allowing them to detect spam, phishing emails, and secure user authentication using biometric solutions. What makes this course unique is its focus on real-world applications, blending AI theory with practical skills relevant to today's cybersecurity challenges. By the end of the course, you'll have developed the ability to use AI to address cyber threats such as email fraud and fake logins, and will be equipped with practical skills to protect digital assets in a rapidly evolving technological landscape. Whether you're a cybersecurity professional or someone seeking to expand your skills in AI, this course provides a critical understanding of how AI can be leveraged to mitigate security risks and keep systems secure.

Навыки, которые вы освоите

Supervised LearningClassification AlgorithmsApplied Machine LearningArtificial IntelligenceAuthenticationsMachine LearningFraud detectionAI SecurityCyber AttacksThreat DetectionEmail SecurityCybersecurityJupyterMachine Learning Algorithms

Программа курса

4 модулей · 30 учебных материалов

01Course Introduction2 материалов
Course OverviewЧтениеInstructor Biography - Lanier WatkinsЧтение
02AI for Cybersecurity Professionals8 материалов

Introduction to Artificial Intelligence for Cybersecurity

Artificial Intelligence Background and OverviewВидео

Учитесь у экспертов

Lanier Watkins

Преподаватель курса

Introduction to AI for Cybersecurity
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Обучение на Coursera

≈ 9.9 ч

4 модулей

Язык: Английский

Субтитры: Арабский, Казахский, Малайский, Венгерский

Часть программы вашего университета
Reading ReferencesЧтение
Introduction to Artificial Intelligence for CybersecurityЗадание

Practical Machine Learning Algorithms for Cybersecurity

A Hands-On Look at Several Machine Learning AlgorithmsВидеоReading ReferencesЧтениеPractical Machine Learning Algorithms for CybersecurityЗадание

Module-end Assessments

Self-Reflective Reading: Hands-On ML Examples and Development ProcessЧтениеAI for Cybersecurity ProfessionalsЗадание
03 Ham or Spam? Detecting Email Cybersecurity Threats with AI11 материалов

AI Techniques for Detecting Email Threats

Detecting Email Cyber Threats with AIВидеоPerceptron Spam Filter ExampleВидеоSupport Vector Machine (SVM) Spam Filter ExampleВидеоReading ReferencesЧтениеAI Techniques for Detecting Email ThreatsЗадание

Advanced Spam Filtering Methods and Phishing Detection

Phishing Detection with Regression and TreesВидео Naive Bayes Spam Filter ExampleВидеоReading ReferencesЧтениеAdvanced Spam Filtering Methods and Phishing DetectionЗадание

Module-end Assessments

Self-Reflective Reading: Bridging Theory and Practice in CybersecurityЧтениеHam or Spam? Detecting Email Cybersecurity Threats with AIЗадание
04Securing User Authentication 9 материалов

Understanding and Securing User Authentication Threats

Securing User AuthenticationВидеоReading ReferencesЧтениеUnderstanding and Securing User Authentication ThreatsЗадание

Implementing Biometric Solutions: Keystroke and Facial Recognition

Keystroke and Facial Recognition Biometric AuthenticationВидеоReading ReferencesЧтениеImplementing Biometric Solutions: Keystroke and Facial RecognitionЗадание

Module-end Assessments

Self-Reflective Reading: Authentication is ParamountЧтениеSecuring User Authentication ЗаданиеPractice Lab: Detecting IoT Malware Behavior in Network TrafficЛабораторная