{"id":1388,"date":"2025-03-31T14:55:52","date_gmt":"2025-03-31T18:55:52","guid":{"rendered":"https:\/\/engineering.jhu.edu\/ExecEd\/?post_type=course&#038;p=1388"},"modified":"2026-03-20T16:22:41","modified_gmt":"2026-03-20T20:22:41","slug":"jhu-online-certificate-program-cybersecurity","status":"publish","type":"course","link":"https:\/\/engineering.jhu.edu\/ExecEd\/course\/jhu-online-certificate-program-cybersecurity\/","title":{"rendered":"Certificate in AI for Cybersecurity"},"content":{"rendered":"\n<div>\n<div class=\"course-header\">\n<div class=\"course-header__grid\">\n<div class=\"utility__flex-column__2rem\">\n<div class=\"utility__flex-column-1rem\">\n<h1 class=\"gb-text course-header__title\">Certificate in AI for Cybersecurity<\/h1>\n\n\n\n<p class=\"gb-text course-header__date-start\">Start anytime. Learn at your own pace.<\/p>\n\n\n\n<p class=\"gb-text course-header__excerpt\">Build and deploy tools to defend against modern (and future) threats. <\/p>\n<\/div>\n\n\n\n<div class=\"course-header__buttons\">\n<div class=\"course-header__button-single\"><div class=\"with_frm_style\"><a data-toggle=\"modal\" data-bs-toggle=\"modal\" data-target=\"#frm-modal-0\" data-bs-target=\"#frm-modal-0\" href=\"#\" class=\"btn btn-gold frm_button\">Start Now<\/a><\/div>\n<\/div>\n\n\n\n<div class=\"course-header__button-single\"><div class=\"with_frm_style\"><a data-toggle=\"modal\" data-bs-toggle=\"modal\" data-target=\"#frm-modal-1\" data-bs-target=\"#frm-modal-1\" href=\"#\" class=\"frm_button btn btn-navy\">Request&nbsp;Info<\/a>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"gb-element-902dd913\">\n<div class=\"header__info-box\">\n<img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"200\" data-media-id=\"3974\" class=\"gb-media-f730b472\" alt=\"\" src=\"https:\/\/engineering.jhu.edu\/ExecEd\/wp-content\/uploads\/2025\/03\/scaled-300x200.jpg\" srcset=\"https:\/\/engineering.jhu.edu\/ExecEd\/wp-content\/uploads\/2025\/03\/scaled-300x200.jpg 300w, https:\/\/engineering.jhu.edu\/ExecEd\/wp-content\/uploads\/2025\/03\/scaled-768x512.jpg 768w, https:\/\/engineering.jhu.edu\/ExecEd\/wp-content\/uploads\/2025\/03\/scaled.jpg 1000w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/>\n\n\n\n<div class=\"course-header__icon-container\">\n<p class=\"gb-text-0d82541a\"><span class=\"gb-shape\"><svg height=\"32px\" id=\"svg2\" version=\"1.1\" viewBox=\"0 0 32 32\" width=\"32px\" xml:space=\"preserve\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><g id=\"background\"><rect fill=\"none\" height=\"32\" width=\"32\" x=\"1\" y=\"1\"><\/rect><\/g><g id=\"book_x5F_text\"><g><path d=\"M27.002,1v1.999h-2V5h2v28h-24c0,0-2,0-2-2V4.018c0-0.006-0.001-0.012-0.001-0.018C0.966,2.645,1.808,1.686,2.556,1.354    C3.294,0.992,3.918,1.004,4.002,1H27.002 M3.998,5C4,5,4.002,5,4.002,5h19V2.999h-19C4,3.005,3.97,2.997,3.853,3.018    c-0.115,0.019-0.274,0.06-0.404,0.125C3.196,3.314,3.035,3.353,3.002,4c0.015,0.5,0.134,0.609,0.272,0.743    c0.144,0.126,0.401,0.212,0.579,0.239C3.948,4.999,3.986,5,3.998,5 M5.002,31h20V7h-20V31\"><\/path><\/g><polygon points=\"7,23 7,21 19,21 19,23 7,23\"><\/polygon><polygon points=\"7,15 7,13 23,13 23,15 7,15\"><\/polygon><polygon points=\"7,19 7,17 23,17 23,19 7,19\"><\/polygon><\/g><\/svg><\/span><span class=\"gb-text\"><span>Cybersecurity<\/span><\/span><\/p>\n\n\n\n\n\n<p class=\"gb-text-e70b6cca\"><span class=\"gb-shape\"><svg height=\"512\" viewBox=\"0 0 512 512\" width=\"512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><title><\/title><path d=\"M346.65,304.3a136,136,0,0,0-180.71,0,21,21,0,1,0,27.91,31.38,94,94,0,0,1,124.89,0,21,21,0,0,0,27.91-31.4Z\"><\/path><path d=\"M256.28,183.7a221.47,221.47,0,0,0-151.8,59.92,21,21,0,1,0,28.68,30.67,180.28,180.28,0,0,1,246.24,0,21,21,0,1,0,28.68-30.67A221.47,221.47,0,0,0,256.28,183.7Z\"><\/path><path d=\"M462,175.86a309,309,0,0,0-411.44,0,21,21,0,1,0,28,31.29,267,267,0,0,1,355.43,0,21,21,0,0,0,28-31.31Z\"><\/path><circle cx=\"256.28\" cy=\"393.41\" r=\"32\"><\/circle><\/svg><\/span><span class=\"gb-text\"><span>Online Self-Paced<\/span><\/span><\/p>\n\n\n\n\n<\/div>\n\n\n\n<p class=\"gb-text header__instructors\">Instructor: <a href=\"#meet\">Dr. Lanier Watkins<\/a><\/p>\n<\/div>\n<\/div>\n\n\n\n<ul class=\"course-header__callout-list no-margin-list\">\n<li class=\"course-header__callout-list-item\"><span class=\"gb-shape\"><svg aria-hidden=\"true\" role=\"img\" height=\"1em\" width=\"1em\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path fill=\"currentColor\" d=\"M173.898 439.404l-166.4-166.4c-9.997-9.997-9.997-26.206 0-36.204l36.203-36.204c9.997-9.998 26.207-9.998 36.204 0L192 312.69 432.095 72.596c9.997-9.997 26.207-9.997 36.204 0l36.203 36.204c9.997 9.997 9.997 26.206 0 36.204l-294.4 294.401c-9.998 9.997-26.207 9.997-36.204-.001z\"><\/path><\/svg><\/span><span class=\"gb-text\">Designed and taught by Dr. Lanier Watkins from JHU Applied Physics Laboratory<\/span><\/li>\n\n\n\n<li class=\"gb-text-8ef0cc7e\"><span class=\"gb-shape\"><svg aria-hidden=\"true\" role=\"img\" height=\"1em\" width=\"1em\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path fill=\"currentColor\" d=\"M173.898 439.404l-166.4-166.4c-9.997-9.997-9.997-26.206 0-36.204l36.203-36.204c9.997-9.998 26.207-9.998 36.204 0L192 312.69 432.095 72.596c9.997-9.997 26.207-9.997 36.204 0l36.203 36.204c9.997 9.997 9.997 26.206 0 36.204l-294.4 294.401c-9.998 9.997-26.207 9.997-36.204-.001z\"><\/path><\/svg><\/span><span class=\"gb-text\">LIVE monthly seminars and office hours<\/span><\/li>\n\n\n\n<li class=\"gb-text-5768d35b\"><span class=\"gb-shape\"><svg aria-hidden=\"true\" role=\"img\" height=\"1em\" width=\"1em\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path fill=\"currentColor\" d=\"M173.898 439.404l-166.4-166.4c-9.997-9.997-9.997-26.206 0-36.204l36.203-36.204c9.997-9.998 26.207-9.998 36.204 0L192 312.69 432.095 72.596c9.997-9.997 26.207-9.997 36.204 0l36.203 36.204c9.997 9.997 9.997 26.206 0 36.204l-294.4 294.401c-9.998 9.997-26.207 9.997-36.204-.001z\"><\/path><\/svg><\/span><span class=\"gb-text\">Engaging learning including video walkthroughs and hands-on activities<\/span><\/li>\n\n\n\n<li class=\"gb-text-4ae8a500\"><span class=\"gb-shape\"><svg aria-hidden=\"true\" role=\"img\" height=\"1em\" width=\"1em\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path fill=\"currentColor\" d=\"M173.898 439.404l-166.4-166.4c-9.997-9.997-9.997-26.206 0-36.204l36.203-36.204c9.997-9.998 26.207-9.998 36.204 0L192 312.69 432.095 72.596c9.997-9.997 26.207-9.997 36.204 0l36.203 36.204c9.997 9.997 9.997 26.206 0 36.204l-294.4 294.401c-9.998 9.997-26.207 9.997-36.204-.001z\"><\/path><\/svg><\/span><span class=\"gb-text\">Satisfaction guaranteed. Explore the course with no risk.<\/span><\/li>\n\n\n\n<li class=\"gb-text-b938d17a\"><span class=\"gb-shape\"><svg aria-hidden=\"true\" role=\"img\" height=\"1em\" width=\"1em\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path fill=\"currentColor\" d=\"M173.898 439.404l-166.4-166.4c-9.997-9.997-9.997-26.206 0-36.204l36.203-36.204c9.997-9.998 26.207-9.998 36.204 0L192 312.69 432.095 72.596c9.997-9.997 26.207-9.997 36.204 0l36.203 36.204c9.997 9.997 9.997 26.206 0 36.204l-294.4 294.401c-9.998 9.997-26.207 9.997-36.204-.001z\"><\/path><\/svg><\/span><span class=\"gb-text\">Save $300 with the Certificate vs. buying courses separately<\/span><\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n\n\n<div class=\"course-body__wrapper\">\n<div class=\"course-body__grid\">\n<div class=\"gb-element-6b1128d0\">\n<div class=\"course-body__section\">\n<p>Attack surfaces are expanding. Malware is evolving. Alert fatigue is real.<\/p>\n\n\n\n<p>The answers to the modern cybersecurity threats aren&#8217;t in firewalls and known signatures. They&#8217;re in spotting patterns no human can see and adapting in real time.<\/p>\n\n\n\n<p>In this <a href=\"#course\">3-course<\/a> certificate program, <strong><a href=\"#meet\">Dr. Lanier Watkins<\/a> gives Tier 1 and Tier 2 analysts the knowledge to use AI as a force multiplier and take your career to the next level.<\/strong><\/p>\n\n\n\n<p>His daily work at the Applied Physics Laboratory Infrastructure Protection Group AND role as Hopkins Engineering&#8217;s cybersecurity master&#8217;s program chair makes Dr. Watkins the ideal guide for a self-paced program combining academic rigor with real-world implementation.<\/p>\n<\/div>\n\n\n\n<section class=\"course-body__section\" id=\"powered\">\n<div>\n<h2 class=\"gb-text course-body__section-header\">Powered by Engineering for Professionals<\/h2>\n\n\n\n<p class=\"gb-text gb-text-bba25b78\">A <strong>Top-Ranked Online Grad Program<\/strong> for Computer Information Technology by U.S. News &amp; World Report<\/p>\n<\/div>\n\n\n\n<div class=\"gb-element-841f388f\">\n<div class=\"gb-element-f87a43e6\">\n<img decoding=\"async\" class=\"gb-media-a4d8b1d0\" src=\"https:\/\/engineering.jhu.edu\/ExecEd\/wp-content\/uploads\/2025\/03\/BOP13-GRAD-InfoTech-2025_OL-500.png\"\/>\n<\/div>\n\n\n\n<p class=\"gb-text gb-text-e527ac10\">Johns Hopkins Engineering&#8217;s Executive and Professional Education delivers executive education courses from the same faculty behind Johns Hopkins Engineering for Professionals, a top-ranked online, part-time graduate program in computer information technology. This ranking includes our master&#8217;s programs in computer science, artificial intelligence, cybersecurity, information systems engineering, and data science. <br><\/p>\n<\/div>\n<\/section>\n\n\n\n<div class=\"course-body__section course-section\">\n<p>Dr. Watkins will start you off with a solid foundation: realistic expectations for AI in cybersecurity; core types of machine learning; weak vs. strong vs. super AI. Then he&#8217;ll show you how to <strong>apply AI and machine learning to some of cybersecurity\u2019s toughest challenges:<\/strong><\/p>\n\n\n\n<div class=\"gb-element-38f35e97\">\n<p class=\"gb-text gb-text-95b46ebc\">Spam and phishing at scale<\/p>\n\n\n\n<p class=\"gb-text gb-text-4eb4d9e2\">Polymorphic and metamorphic malware<\/p>\n\n\n\n<p class=\"gb-text gb-text-c7cecdde\">Botnet activity and command-and-control detection<\/p>\n\n\n\n<p class=\"gb-text gb-text-624decf3\">Alert overload and noisy data<\/p>\n\n\n\n<p class=\"gb-text gb-text-6034f8b9\">AI-attacks poisoning AI models<\/p>\n<\/div>\n\n\n\n<p><strong>and develop working tools to defeat them.<\/strong><\/p>\n\n\n\n<p>It\u2019s a grounded, <a href=\"#course\">project-based<\/a> experience based in a secure virtual environment <strong>preloaded with Jupyter notebooks, working Python code, and real-world datasets.<\/strong> Dr. Watkins explains the concepts in video lectures and shares his favorite papers and articles. The preloaded notebooks get you started quickly while still giving you the freedom to solve and experiment.<\/p>\n\n\n\n<p>You\u2019ll explore techniques like <strong>supervised and unsupervised learning, anomaly detection, neural networks, and reinforcement learning<\/strong>\u2014not just to understand the algorithms, but to wield them.<\/p>\n\n\n\n<p>Along the way, you\u2019ll build intuition around when to use each approach, how to evaluate their performance, and what their outputs really mean for decision-making. You\u2019ll also dive into <strong>biometric authentication, fraud prevention, malware analysis, and intrusion detection.<\/strong><\/p>\n\n\n\n<p>You don\u2019t need a background in math or data science. <strong>You\u2019ll do what you do best as a cybersecurity analyst: developing and deploying tools\u2014not designing the math behind them.<\/strong><\/p>\n<\/div>\n\n\n\n<div class=\"course-body__section\">\n<h2 class=\"gb-text h2-course-section course-body__section-header\">Earning Your AI For Cybersecurity Certificate<\/h2>\n\n\n\n<p class=\"gb-text\">After completing the course content, you can successfully <strong>complete and submit a capstone project to earn your Certificate of Achievement<\/strong>\u2014proving to colleagues and employers that you&#8217;re ready to take the lead in building, evaluating and deploying cutting-edge AI cybersecurity solutions to protect critical assets.<\/p>\n\n\n\n<div class=\"gb-element-00daa09d\">\n<div class=\"gb-element-8775b1c9\">\n<img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"232\" class=\"gb-media-6f64b6f9\" src=\"https:\/\/engineering.jhu.edu\/ExecEd\/wp-content\/uploads\/2025\/03\/Lifelong-Learning-Sample-Certificate-540x417-1-300x232.png\" title=\"Lifelong-Learning-Sample-Certificate-540x417\" srcset=\"https:\/\/engineering.jhu.edu\/ExecEd\/wp-content\/uploads\/2025\/03\/Lifelong-Learning-Sample-Certificate-540x417-1-300x232.png 300w, https:\/\/engineering.jhu.edu\/ExecEd\/wp-content\/uploads\/2025\/03\/Lifelong-Learning-Sample-Certificate-540x417-1.png 540w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/>\n<\/div>\n\n\n\n<div>\n<p class=\"gb-text gb-text-409943b3\">The capstone requires applying all skills from the 3-course certificate into a single deliverable that demonstrates knowledge of state-of-the-art ML and includes sufficient performance metrics. The project will be reviewed by Dr. Watkins, who will provide feedback, which can be discussed further during live office hours.<\/p>\n\n\n\n<p class=\"has-small-font-size\"><em>The image is for illustrative purposes only. Actual certificate design subject to change<\/em>.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"course-body__section\" id=\"meet\">\n<h2 class=\"gb-text course-body__section-header\">Meet Your Instructor<\/h2>\n\n\n\n<div>\n<h3 class=\"gb-text gb-text-3dad39e4\">Dr. Lanier Watkins<\/h3>\n\n\n\n<p><em>Johns Hopkins University, Johns Hopkins Applied Physics Laboratory<\/em><\/p>\n<\/div>\n\n\n\n<div class=\"gb-element-a8e5c9d4\">\n<div>\n<img loading=\"lazy\" decoding=\"async\" width=\"200\" height=\"200\" class=\"gb-media-1d52dc66\" src=\"https:\/\/engineering.jhu.edu\/ExecEd\/wp-content\/uploads\/2025\/03\/HeadShot_23-04461-r-24-00564-3458.avif\" title=\"HeadShot_23-04461-r-24-00564-3458\" srcset=\"https:\/\/engineering.jhu.edu\/ExecEd\/wp-content\/uploads\/2025\/03\/HeadShot_23-04461-r-24-00564-3458.avif 200w, https:\/\/engineering.jhu.edu\/ExecEd\/wp-content\/uploads\/2025\/03\/HeadShot_23-04461-r-24-00564-3458-150x150.avif 150w\" sizes=\"auto, (max-width: 200px) 100vw, 200px\" \/>\n<\/div>\n\n\n\n<p>Lanier Watkins is Principal Professional Staff in the Critical Infrastructure Protection Group at the Johns Hopkins Applied Physics Laboratory, Assistant Technical Director of the Johns Hopkins Information Security Institute, and <strong>Chair of Johns Hopkins Engineering&#8217;s #1 ranked online master&#8217;s programs in Computer Science and Cybersecurity<\/strong>. He earned his PhD in computer science from George State University.<\/p>\n<\/div>\n\n\n\n<h4 class=\"gb-text gb-text-656c578a\"><strong>Dr. Watkins is Here to Help!<\/strong><\/h4>\n\n\n\n<p>Questions about course content? Looking for insight on specific cyberthreats? <strong>Stop by monthly Zoom office hours<\/strong> to talk with Lanier and fellow students about what you&#8217;re learning in the course and the past, present, and future of cybersecurity.<\/p>\n<\/div>\n\n\n\n<div class=\"course-body__section gb-element-425b2f84\">\n<p class=\"gb-text gb-text-2620bc21\"><strong>The Certificate combines Dr. Watkins&#8217; 3 sequential cybersecurity courses:<\/strong><\/p>\n\n\n\n<div class=\"gb-query-a9c4e797\"><\/div>\n\n\n\n<p class=\"gb-text gb-text-1f635033\"><strong>into one bundle, saving you $300 off the cost of buying separately<\/strong><\/p>\n<\/div>\n\n\n\n<div class=\"course-body__section\" id=\"guarantee\">\n<h2 class=\"gb-text course-body__section-header\">No Risk: Satisfaction Guaranteed<\/h2>\n\n\n\n<p class=\"gb-text gb-text-a0678104 course-section\">Feel confident in your learning journey! If the certificate content is too advanced, not advanced enough, or simply doesn&#8217;t&#8217; meet your expectations, we&#8217;ve got you covered with our money-back guarantee. <\/p>\n\n\n\n<p><em style=\"font-size: inherit; display: inline !important;\"><strong style=\"font-size: inherit; font-style: normal; display: inline !important;\">Just contact our team within 7 days from purchase to receive a full refund\u2014no questions asked.<\/strong><\/em><\/p>\n<\/div>\n\n\n\n<div class=\"course-body__section\">\n<h2 class=\"gb-text course-body__section-header\">Prerequisites <\/h2>\n\n\n\n<p class=\"gb-text\">The Certificate is designed for cybersecurity professionals and experienced students. A foundational knowledge of Python is required, as this course involves modifying algorithms and adjusting parameters to better understand their implementation. <strong>You don\u2019t need to be a data scientist, but you should be comfortable navigating technical tools<\/strong>.<\/p>\n<\/div>\n\n\n\n<div class=\"course-body__section course-section\" id=\"course-summaries\">\n<h2 class=\"gb-text course-body__section-header\">Course Summaries <\/h2>\n\n\n\n<div class=\"gb-tabs\" data-opened-tab=\"1\">\n<div class=\"gb-tabs__menu course-body__tabs-menu\" role=\"tablist\">\n<div tabindex=\"0\" class=\"gb-tabs__menu-item course-body__tab-menu-item gb-block-is-current\" role=\"tab\" id=\"gb-tab-menu-item-a5455cb8\">\n<span class=\"gb-text\">1. Intro to AI for Cybersecurity<\/span>\n<\/div>\n\n\n\n<div tabindex=\"0\" class=\"gb-tabs__menu-item course-body__tab-menu-item\" role=\"tab\" id=\"gb-tab-menu-item-85c34264\">\n<span class=\"gb-text\">2. Advanced Malware &amp; Network Anomaly Detection<\/span>\n<\/div>\n\n\n\n<div tabindex=\"0\" class=\"gb-tabs__menu-item tab-menu-item gb-tabs__menu-item-2ce1003f\" role=\"tab\" id=\"gb-tab-menu-item-2ce1003f\">\n<span class=\"gb-text\">3. Securing AI and Advanced Topics<\/span>\n<\/div>\n<\/div>\n\n\n\n<div class=\"gb-tabs__items gb-tabs__items-594964c6\">\n<div class=\"gb-tabs__item course-body__tab-item gb-tabs__item-open\" role=\"tabpanel\" id=\"gb-tab-item-72e04ccc\">\n<p>Build practical skills in implementing basic AI tools for spam filtering, anti-phishing, and biometric authentication\u2014and again a solid understanding of how supervised and unsupervised learning approaches can serve as force multipliers in cybersecurity operations.<\/p>\n\n\n\n<p><strong>You&#8217;ll build:<br><\/strong><\/p>\n\n\n\n<ul class=\"utility__1-column-list\">\n<li class=\"gb-text\"><strong>Perceptron-Based Spam Filter for SMS Data<\/strong>: Your first end-to-end ML tool<\/li>\n\n\n\n<li class=\"gb-text\"><strong>Support Vector Machine for Spam Detection: <\/strong>Level up with &#8220;suspect&#8221; and &#8220;neutral&#8221; words, finding threats simpler models would miss<\/li>\n\n\n\n<li class=\"gb-text\"><strong>Phishing Website Classifier with &#8220;One-Hot&#8221; Encoding:<\/strong> What&#8217;s best for the task? Linear regression, logic regression, or decision trees<\/li>\n\n\n\n<li class=\"gb-text\"><strong>Biometric Keystroke Authentication System:<\/strong> Compare multiple models on a dataset of 51 user keystroke dynamics<\/li>\n\n\n\n<li class=\"gb-text\"><strong>Biometric Facial Recognition for Secure ID<\/strong>: Using Principal Component Analysis and eigenfaces, you\u2019ll implement dimensionality reduction techniques with the \u201cLabeled Faces in the Wild\u201d dataset for secure identity verification.<\/li>\n<\/ul>\n<\/div>\n\n\n\n<div class=\"gb-tabs__item course-body__tab-item\" role=\"tabpanel\" id=\"gb-tab-item-3869dc64\">\n<p>Create advanced systems that ID signature-based methods miss. You&#8217;ll develop sophisticated solutions for malware analysis for PE file examination, botnet detection, and industrial control system protection.<\/p>\n\n\n\n<p>Then explore Hidden Markov Models for identifying self-modifying malware, K-means clustering for malware classification, and self-healing capabilities.<\/p>\n\n\n\n<p>By course completion, you\u2019ll possess a toolkit of AI-powered security implementations\u2014including models for self-modifying malware detection, pattern recognition for unknown threats, and transparent AI for network anomaly detection. These skills enable you to implement adaptive security solutions that don\u2019t rely solely on known signatures, significantly strengthening your defense capabilities.<\/p>\n\n\n\n<p><strong>You&#8217;ll build:<\/strong><\/p>\n\n\n\n<ul class=\"utility__1-column-list\">\n<li class=\"gb-text\"><strong>Static Malware Feature Extractor<\/strong>: Use PEview to extract features from Windows executables for ML analysis.<\/li>\n\n\n\n<li class=\"gb-text\"><strong><strong>Decision Tree Malware Classifier<\/strong><\/strong>: Train a decision tree to classify executables using labeled malware data.<\/li>\n\n\n\n<li class=\"gb-text\"><strong>Malware Clustering with K-Means<\/strong>: Build a K-means model to group files as malware or benign based on PE headers.<\/li>\n\n\n\n<li class=\"gb-text\"><strong><strong>Statistical Anomaly Detector<\/strong><\/strong>: A simple Python system to flag unusual network behavior using thresholds.<\/li>\n\n\n\n<li class=\"gb-text\"><strong>Botnet Detector with Supervised Learning<\/strong>: Use KNN, decision tree, and Naive Bayes to detect botnet traffic.<\/li>\n\n\n\n<li class=\"gb-text\"><strong>Autonomic Cybersecurity System Prototype<\/strong>: A simulated IDS using multiple ML models to detect and explain attacks<\/li>\n<\/ul>\n<\/div>\n\n\n\n<div class=\"gb-tabs__item course-body__tab-item\" role=\"tabpanel\" id=\"gb-tab-item-bdcf1ebd\">\n<p class=\"gb-text gb-text-2c6f0aec\">Cybercriminals are using <strong>AI-based tools to outwit defenses<\/strong>. Analysts must adapt. <br><br>After breaking down a real-world use case of using IBM Watson to detect credit card fraud through advanced sampling techniques and ensemble models, <strong>Dr. Watkins takes you into the AI vs. AI domain.<\/strong><br><br>You\u2019ll learn how adversarial examples can compromise neural networks with \u201cpatch attacks,\u201d how GANs evade detection systems, and how reinforcement learning agents methodically <strong>bypass security controls while preserving malicious functionality<\/strong>.<br><br>Then neutralize them with&nbsp;<strong>statistical anomaly detection, gradient masking, and adversarial training<\/strong>. Craft robust AI security systems capable of withstanding even the most advanced machine learning-based threats.<br><br>The course concludes with a critical analysis of H.S. Anderson\u2019s Black Hat-presented RL malware-evasion framework.<br><br><strong>You&#8217;ll build: <\/strong><\/p>\n\n\n\n<ul class=\"gb-element-b83ca2c5\">\n<li class=\"gb-text\"><strong>Credit Card Fraud Prevention System with IBM Watson<\/strong>: Compare Random Forest and Extreme Gradient Boosting algorithms.<\/li>\n\n\n\n<li class=\"gb-text\"><strong>GAN Handwriting Implementation<\/strong>: See for yourself the competition between the generator and discriminator networks.<\/li>\n\n\n\n<li class=\"gb-text\"><strong>Maze Reinforcement Learning Agent<\/strong>: Use Q-learning algorithms to allow the agent to learn optimal pathways and maximize rewards.<\/li>\n\n\n\n<li class=\"gb-text\"><strong><strong>Statistical Anomaly Detector<\/strong><\/strong>: A simple Python system to flag unusual network behavior using thresholds.<\/li>\n\n\n\n<li class=\"gb-text\"><strong>Botnet Detector with Supervised Learning<\/strong>: Use KNN, decision tree, and Naive Bayes to detect botnet traffic.<\/li>\n\n\n\n<li class=\"gb-text\"><strong>Autonomic Cybersecurity System Prototype<\/strong>: A simulated IDS using multiple ML models to detect and explain attacks<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"course-section\">\n<h2 class=\"gb-text course-body__section-header section-header\">Course Delivery and Support<\/h2>\n\n\n\n<p class=\"gb-text gb-text-69e09647\">The courses are delivered entirely online through the industry-leading Canvas Learning Management System. This system is supported by the same instructional design team behind Johns Hopkins&#8217; renowned Engineering for Professionals program, which serves thousands of online graduate students each year. <strong>Upon registration, you will receive an email with instructions to create your Hopkins Canvas account and access the videos, readings, files and quizzes. <\/strong><\/p>\n<\/div>\n<\/div>\n\n\n<div class=\"gb-container gb-container-079cd657\">\n\n<div class=\"course-body__infobox gb-element-c980cb58\" id=\"sticky\">\n<p class=\"gb-text course-body__infobox-title\"><strong>Certificate in AI for Cybersecurity<\/strong><\/p>\n\n\n\n<div class=\"gb-element-792e4ae5 sidebar\">\n<div class=\"gb-element-5fa3d6ea\">\n<div class=\"wp-block-button\"> <a href=\"#\" data-bs-toggle=\"modal\" data-bs-target=\"#frm-modal-0\" class=\"wp-block-button__link btn btn-gold cta-btn\">Start Now<\/a> <\/div>\n<\/div>\n\n\n\n<div class=\"gb-element-9d58f917\">\n<div class=\"wp-block-button\"> <a href=\"#\" data-bs-toggle=\"modal\" data-bs-target=\"#frm-modal-1\" class=\"wp-block-button__link btn btn-navy cta-btn\">Request Info<\/a> <\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"course-body__infobox-icon-container\">\n<p class=\"gb-text-ffbc40b7\"><span class=\"gb-shape\"><svg height=\"32px\" id=\"svg2\" version=\"1.1\" viewBox=\"0 0 32 32\" width=\"32px\" xml:space=\"preserve\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><g id=\"background\"><rect fill=\"none\" height=\"32\" width=\"32\" x=\"1\" y=\"1\"><\/rect><\/g><g id=\"book_x5F_text\"><g><path d=\"M27.002,1v1.999h-2V5h2v28h-24c0,0-2,0-2-2V4.018c0-0.006-0.001-0.012-0.001-0.018C0.966,2.645,1.808,1.686,2.556,1.354    C3.294,0.992,3.918,1.004,4.002,1H27.002 M3.998,5C4,5,4.002,5,4.002,5h19V2.999h-19C4,3.005,3.97,2.997,3.853,3.018    c-0.115,0.019-0.274,0.06-0.404,0.125C3.196,3.314,3.035,3.353,3.002,4c0.015,0.5,0.134,0.609,0.272,0.743    c0.144,0.126,0.401,0.212,0.579,0.239C3.948,4.999,3.986,5,3.998,5 M5.002,31h20V7h-20V31\"><\/path><\/g><polygon points=\"7,23 7,21 19,21 19,23 7,23\"><\/polygon><polygon points=\"7,15 7,13 23,13 23,15 7,15\"><\/polygon><polygon points=\"7,19 7,17 23,17 23,19 7,19\"><\/polygon><\/g><\/svg><\/span><span class=\"gb-text\"><span>Cybersecurity<\/span><\/span><\/p>\n\n\n\n\n\n<p class=\"gb-text-33b6fda5\"><span class=\"gb-shape\"><svg height=\"512\" viewBox=\"0 0 512 512\" width=\"512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><title><\/title><path d=\"M346.65,304.3a136,136,0,0,0-180.71,0,21,21,0,1,0,27.91,31.38,94,94,0,0,1,124.89,0,21,21,0,0,0,27.91-31.4Z\"><\/path><path d=\"M256.28,183.7a221.47,221.47,0,0,0-151.8,59.92,21,21,0,1,0,28.68,30.67,180.28,180.28,0,0,1,246.24,0,21,21,0,1,0,28.68-30.67A221.47,221.47,0,0,0,256.28,183.7Z\"><\/path><path d=\"M462,175.86a309,309,0,0,0-411.44,0,21,21,0,1,0,28,31.29,267,267,0,0,1,355.43,0,21,21,0,0,0,28-31.31Z\"><\/path><circle cx=\"256.28\" cy=\"393.41\" r=\"32\"><\/circle><\/svg><\/span><span class=\"gb-text\"><span>Online Self-Paced<\/span><\/span><\/p>\n\n\n\n\n<\/div>\n\n\n\n<p class=\"gb-text course-body__infobox-guarantee\">No Risk: Explore the Certificate for 7 Days<\/p>\n<\/div>\n\n<\/div><\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Build and deploy tools to defend against modern (and future) threats. <\/p>\n","protected":false},"featured_media":3974,"template":"","format":[48],"meta":{"_acf_changed":false,"footnotes":""},"categories":[3],"company":[],"offering":[42],"class_list":["post-1388","course","type-course","status-publish","has-post-thumbnail","hentry","category-cybersecurity","format-online-self-paced","offering-certificate"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI for Cybersecurity Certificate - Johns Hopkins University<\/title>\n<meta name=\"description\" content=\"Take your career to the next level. Cybersecurity Chair Lanier Watkins gives analysts the skills to use AI and ML as a force multiplier.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/engineering.jhu.edu\/ExecEd\/course\/jhu-online-certificate-program-cybersecurity\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI for Cybersecurity Certificate - Johns Hopkins University\" \/>\n<meta property=\"og:description\" content=\"Take your career to the next level. Cybersecurity Chair Lanier Watkins gives analysts the skills to use AI and ML as a force multiplier.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/engineering.jhu.edu\/ExecEd\/course\/jhu-online-certificate-program-cybersecurity\/\" \/>\n<meta property=\"og:site_name\" content=\"Executive &amp; Professional Education\" \/>\n<meta property=\"article:modified_time\" content=\"2026-03-20T20:22:41+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/engineering.jhu.edu\/ExecEd\/wp-content\/uploads\/2025\/03\/scaled.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1000\" \/>\n\t<meta property=\"og:image:height\" content=\"667\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"15 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/engineering.jhu.edu\\\/ExecEd\\\/course\\\/jhu-online-certificate-program-cybersecurity\\\/\",\"url\":\"https:\\\/\\\/engineering.jhu.edu\\\/ExecEd\\\/course\\\/jhu-online-certificate-program-cybersecurity\\\/\",\"name\":\"AI for Cybersecurity Certificate - Johns Hopkins University\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/engineering.jhu.edu\\\/ExecEd\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/engineering.jhu.edu\\\/ExecEd\\\/course\\\/jhu-online-certificate-program-cybersecurity\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/engineering.jhu.edu\\\/ExecEd\\\/course\\\/jhu-online-certificate-program-cybersecurity\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/engineering.jhu.edu\\\/ExecEd\\\/wp-content\\\/uploads\\\/2025\\\/03\\\/scaled.jpg\",\"datePublished\":\"2025-03-31T18:55:52+00:00\",\"dateModified\":\"2026-03-20T20:22:41+00:00\",\"description\":\"Take your career to the next level. 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