The Machine Learning program focuses on designing and implementing algorithms that enable computers to learn from data. Students learn to develop predictive models and intelligent systems, applying ma...
Duration
Total Courses
Credit Hours
Total Cost
Machine Learning
The Machine Learning program focuses on designing and implementing algorithms that enable computers to learn from data. Students learn to develop predictive models and intelligent systems, applying machine learning techniques to solve real-world problems and enhance technological capabilities.
1 Year (Self-Paced)
Bachelor's Degree or equiv. international education
Explore our comprehensive curriculum designed to provide you with industry-relevant skills and knowledge.
5 courses in this module
This course teaches about the technologies that are being used in the marketplace. The course covers...
This course teaches about the technologies that are being used in the marketplace. The course covers market-driven content such as wireless LANs, security and network management, TCP/IP, and application layers.
This course covers the basic hardware of a personal computer, including installation, operations and...
This course covers the basic hardware of a personal computer, including installation, operations and interactions with software. Topics include component identification, memory-system, peripheral installation and configuration, preventive maintenance, hardware diagnostics/repair, installation and optimization of system software, commercial programs, system configuration, and device-drivers.
This course uses broad coverage and clear exposition to present a complete picture of the dynamic co...
This course uses broad coverage and clear exposition to present a complete picture of the dynamic computer science field. An overview of each of the important areas of Computer Science (e.g. Networking, OS, Computer Architecture, Algorithms) provides you with a general level of proficiency for future courses.
This course covers the introduction to the computer science discipline, including an introduction to...
This course covers the introduction to the computer science discipline, including an introduction to computing environments, general application software, computing hardware, operating systems, desktop publishing, internet, software applications and tools and computer usage concepts; introducing software engineering and information technology within the broader domain of computing.
This course explains how to successfully manage an IT project and prepare Track from Start to Finish...
This course explains how to successfully manage an IT project and prepare Track from Start to Finish. The course walks you through each step of the IT project management process, covering critical strategies for on-time and within-budget projects.
5 courses in this module
This advanced course explores complex concepts in machine learning, providing students with expert k...
This advanced course explores complex concepts in machine learning, providing students with expert knowledge and skills. Topics include advanced neural networks, cutting-edge algorithms, and innovative applications.
This course explores the latest innovations and technologies in machine learning. Students will lear...
This course explores the latest innovations and technologies in machine learning. Students will learn about emerging trends, new research, and innovative practices that are shaping the future of machine learning.
This leadership course focuses on developing the skills necessary to lead and manage machine learnin...
This leadership course focuses on developing the skills necessary to lead and manage machine learning teams effectively. Students will learn about leadership styles, team dynamics, and strategic management in the context of machine learning.
This research-focused course provides students with the skills to conduct scientific research in mac...
This research-focused course provides students with the skills to conduct scientific research in machine learning. Students will learn research methodologies, data analysis, and how to apply research findings to improve machine learning practices.
This course provides students with the practical skills and knowledge needed for a professional care...
This course provides students with the practical skills and knowledge needed for a professional career in machine learning. Students will learn about industry standards, professional practices, and how to excel in their careers.
| Fee Component | Amount |
|---|---|
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Total Program Cost
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$60,000 |
Multiple financing options and scholarships are available to help you achieve your educational goals.
Review the admission requirements to ensure you meet the criteria for this program.
Bachelor's Degree or equiv. international education
60 Hours credit hours
1 Year (Self-Paced)
10 total courses in the program
Complete online form
Submit transcripts
Application reviewed
Receive admission