Applied machine learning solutions
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 • 20 Hours • 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.
#6
National University Rankings
#13
Best Global University
This course provides an in-depth, hands-on approach to applied machine learning, focusing on practical techniques across diverse domains. Students will explore real-world machine learning applications in areas like computer vision, data analysis, and model evaluation, developing expertise in data pre-processing, supervised learning, and feature analysis. Through this course, learners will gain the skills to implement machine learning solutions to solve complex problems, preparing them for roles in various data-driven industries. Modules cover computer vision applications, feature engineering, model assessment, and supervised learning, each designed to build proficiency in essential machine learning methods.
The program is for professionals looking to advance their expertise in practical machine learning methods, including supervised learning, data preprocessing, and feature engineering.
Professionals in Data-Driven RolesData Analysts and ScientistsBusiness AnalystsMachine Learning PractitionersSoftware EngineersDesigned by JHU Faculty, the curriculum covers key skills in artificial intelligence, data science & machine learning.
Machine Learning
Computer Vision
Data Pre-Processing
Feature Engineering
Model Evaluation
Supervised Learning
Ethical Considerations in ML
AI Model Evaluation
Data Analysis
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 • 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.
Download Brochure
Stay Connected
OneHop
Facebook
Twitter
Instagram
YouTube
LinkedIn