APPLIED MACHINE LEARNING
Johns Hopkins University Certificate of AchievementAccess to all courses in the certificate programStart the program anytime through open enrollmentCurriculum designed and delivered by JHU FacultyLIVE monthly seminars with JHU Faculty
Program starts on February 3, 2025. Investment: $1,200
3 Courses • 12 Weeks • 60 Hours • Online
• Hands-on Projects • $1,200
4 Weeks • Online • Hands-on Projects
4 Weeks • Online • Hands-on Projects
4 Weeks • Online • Hands-on Projects
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National University Rankings
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Best Global University
Unlock your potential in machine learning with this fully online certificate program from Johns Hopkins University. Designed to equip professionals with practical knowledge and advanced techniques, this program offers three specialized courses to help you master the field of applied machine learning through hands-on learning and expert guidance.
Program Highlights:
Earn a Johns Hopkins University Certificate of Achievement and gain the knowledge and tools to excel in applied machine learning.
To earn a Johns Hopkins University School of Engineering Certificate of Achievement, you must complete the following:
This course is designed for professionals and advanced learners who want to apply machine learning techniques to real-world challenges. It is ideal for data scientists seeking practical experience building and optimizing machine learning models for various applications. Engineers and developers aiming to enhance their skills in implementing machine learning solutions will find this course valuable. Additionally, it is suitable for graduate students and researchers who want to deepen their knowledge of applied machine learning methods and their practical use cases.
Machine Learning ProfessionalsData Scientists and AnalystsSoftware Developers and EngineersBusiness and Technology LeadersAcademics and ResearchersDesigned by JHU Faculty, the curriculum covers key skills in applied machine learning, including:
Deep Learning Techniques
Convolutional Neural Networks (CNNs)
Regression Analysis
Pattern Recognition
Computer Vision
Unsupervised Learning
Introduction to PyTorch
Reinforcement Learning
Ethical Considerations in ML
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.
Gain advanced machine learning skills and practical expertise to drive innovation, solve complex challenges, and stay competitive in today’s rapidly evolving tech landscape.
12 Weeks • Online • Hands-on Projects
12 Weeks • Online • Hands-on Projects
12 Weeks • Online • Hands-on Projects
3 Courses • 12 Weeks • Online • Hands-on Projects
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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