Massachusetts Institute of Technology (MIT) Multiple locations
Boston , Massachusetts , United States
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Featured byMIT Professional Education
Overview
There’s a great deal of interest in learning and applying machine learning and AI techniques across various industries. New no-code platforms are designed to allow various industries to create solutions, that would have previously required programming, using intuitive, interactive user interfaces allowing users to quickly classify information, perform data analysis, and create accurate data predictions with models.
The No Code AI and Machine Learning - Building Data Science Solutions program from Massachusetts Institute of Technology (MIT) Professional Education DigitalPlus Program lasts 12 weeks. The program will begin with blended learning elements, including recorded lectures by MIT Faculty, case studies, projects, quizzes, mentor learning sessions, and webinars.
Your Learning Experience
The No Code AI and Machine Learning: Building Data Science Solutions serves as a platform for business leaders and AI enthusiasts to leverage an application-based pedagogy and solve real-world business problems.
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Visit programme websiteProgramme Structure
Curriculum- Module 1: Introduction to the AI Landscape
- Module 2: Data Exploration - Structured Data
- Module 3: Prediction Methods - Regression
- Module 4: Decision Systems
- Module 5: Data Exploration - Unstructured Data
- Module 6: Recommendation Systems
- Module 7: Data Exploration - Temporal Data
- Module 8: Prediction Methods - Neural Networks
- Module 9: Computer Vision Methods
- Module 10: Workflows and Deployment
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Visit programme websiteKey information
Duration
- Part-time
- 3 months
Start dates & application deadlines
- Starting
- Apply before
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Language
English
Delivered
Online
Disciplines
Data Science & Big Data Artificial Intelligence Machine Learning View 146 other Short Courses in Artificial Intelligence in United StatesExplore more key information
Visit programme websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- The prerequisites of the program include fundamentals of mathematics and statistics. If you do not possess either (or both) of them, you are expected to put in extra effort to learn them before the commencement of the program to be able to cope with the curriculum by MIT Professional Education.
- We, from Great Learning, will provide you with pre-work including sessions by Dr. Abhinanda Sarkar (Learning Instructor - Prework) and Dr. Georg Huettenegger (Industry Professional - Prework) that can be useful in understanding the fundamentals of mathematics and statistics.
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Visit programme websiteTuition Fee
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International
2500 USD/fullTuition FeeBased on the tuition of 2500 USD for the full programme during 3 months. -
National
2500 USD/fullTuition FeeBased on the tuition of 2500 USD for the full programme during 3 months.
Funding
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