mastering neural networks
Johns Hopkins University Certificate of CompletionCurriculum designed and delivered by JHU FacultyStart the course anytime through open enrollmentLIVE monthly seminars with JHU FacultyEngaging learning including video lectures and hands-on activities
Course starts on February 3, 2025. Investment: $500
4 Weeks • Online • Hands-on Projects • $500
Earn a certificate of completion from JHU, a recognized leader in education and research. Earn 2 Continuing Education Units (CEUs) upon program completion.
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In this comprehensive course, participants will gain a deep understanding of neural network architectures and essential model regularization techniques. Designed to bridge theory and practical application, the course covers foundational concepts like multilayer perceptrons and advanced topics such as convolutional neural networks and PyTorch implementation. Students will explore real-world case studies, enabling them to address complex machine learning challenges by applying robust models and avoiding overfitting. By the end of the course, learners will be well-equipped to create scalable, reliable neural networks tailored for data-driven industries.
The program is for professionals looking to advance their expertise in practical machine learning methods, including supervised learning, data preprocessing, and feature engineering.
Data Analysts and ScientistsModel Optimization ExpertsMachine Learning EngineersSoftware EngineersDesigned by JHU Faculty, the curriculum covers key skills in artificial intelligence, data science & machine learning.
Deep Learning Techniques
Ensemble Learning
Multilayer Perceptions (MLPs)
Model Regularization Techniques
Introduction to PyTorch
Convolutional Neural Networks
Ethical Considerations in ML
Hyperparameter Tuning
Enhance your knowledge through monthly live seminars designed to deepen your expertise.
JHU faculty are available to answer questions directly through the course site.
Learn at your own pace with engaging and helpful learning materials such as video lectures, relevant readings, and case studies.
Hands-on activities that help you demonstrate competence and enabling reskilling and upskilling.
Boost your AI and ML skills with leading educators
Johns Hopkins University Instructor
Dr. Guven is a leading researcher at Johns Hopkins University specializing in applied machine learning. His expertise spans computer vision, data processing, and supervised learning, with significant contributions to practical machine learning applications for real-world issues. His work focuses on developing advanced algorithms for robust data analysis and modeling.
4 Weeks • Online • Hands-on Projects
4 Weeks • Online • Hands-on Projects
12 Weeks • Online • Hands-on Projects
4 Weeks • 20 Hours • Online
• Hands-on Projects • $500
Submit your details below to learn more about the course curriculum, benefits, fee and more.
Submit your details below to learn more about the course curriculum, benefits, fee and more.
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