Johns Hopkins University
35 Courses

Chatbots
Chatbots
The "Chatbots" course offers a comprehensive dive into the world of chatbots, equipping learners with the skills necessary to design, build, and optimize conversational interfaces. Explore the evolution of chatbot technology and grasp the fundamental mechanics that drive their functionality.
Engage in hands-on projects using Amazon Lex.

AI for Cybersecurity
AI for Cybersecurity
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.

Mastering Neural Networks and Model Regularization
Mastering Neural Networks and Model Regularization
The course "Mastering Neural Networks and Model Regularization" dives deep into the fundamentals and advanced techniques of neural networks, from understanding perceptron-based models to implementing cutting-edge convolutional neural networks (CNNs). This course offers hands-on experience with r.

Advanced Malware and Network Anomaly Detection
The course "Advanced Malware and Network Anomaly Detection" equips learners with essential skills to combat advanced cybersecurity threats using artificial intelligence. This course takes a hands-on approach, guiding students through the intricacies of malware detection and network anomaly identification. In the first two modules, you will gain fou.

Introduction to AI for Cybersecurity
Introduction to AI for Cybersecurity
"Introduction to AI for Cybersecurity" offers you a comprehensive understanding of how artificial intelligence (AI) is revolutionizing the field of cybersecurity. This course provides an in-depth look at key AI techniques and their applications in bolstering security measures, threat detection, and the safeguar.

Artificial Intelligence in Social Media Analytics
Artificial Intelligence in Social Media Analytics | Johns Hopkins University | Coursera
In the course "Artificial Intelligence in Social Media Analytics", learners will explore the intersection of artificial intelligence and social media analytics, equipping them with essential skills to navigate and analyze digital landscapes. By delving into m.

Social Media Analytics
Social Media Analytics
This specialization is designed for post-graduate students aiming to develop advanced skills in social media analytics and its practical applications. Through four comprehensive courses, learners will explore key topics such as machine learning, natural language processing, sentiment analysis, and network analysis, equippin.

Advanced Methods in Machine Learning Applications
Advanced Methods in Machine Learning Applications
The course "Advanced Methods in Machine Learning Applications" delves into sophisticated machine learning techniques, offering learners an in-depth understanding of ensemble learning, regression analysis, unsupervised learning, and reinforcement learning.
Emphasizing practical application, this cou.

Leadership: An Introduction
Title: Leadership: An Introduction
Description: Delve into the world of leadership with this comprehensive specialization designed for those new to the field of leadership studies. Tailored for learners ready to tackle upper-level general education courses, this program is brought to you by Johns Hopkins University and available on Coursera. The sp.

CUDA Advanced Libraries
Embark on a comprehensive journey into the realm of GPU computing with the "CUDA Advanced Libraries" course, proudly presented by Johns Hopkins University through Coursera. This pivotal training completes the GPU specialization series, dedicating itself to the mastery of CUDA Toolkit's premier libraries. Participants will immerse themselves in the.