Overview
What you will study
Machine learning and AI techniques have generated significant interest across industries. With the emergence of no-code platforms, professionals from diverse sectors can now harness the power of these technologies without prior programming knowledge. These intuitive, interactive user interfaces enable users to efficiently classify information, conduct data analysis, and develop precise predictive models, eliminating the need for complex programming. In the No Code AI and Machine Learning - Building Data Science Solutions program offered by Massachusetts Institute of Technology (MIT) , you will learn to use different no-code tools to create innovative solutions.
Programme Structure
The program focuses on:
- Gain a holistic understanding of the AI landscape for a variety of business use cases.
- Gain a strong conceptual understanding of the most widely used algorithms
- Ability to build practical AI solutions using no code tool
- Gain practical insights into various nuances involved in implementing AI solutions in the industry
- Develop critical thinking and problem-solving skills required to tackle business problems with AI
Key information
Duration
- Part-time
- 3 months
Start dates & application deadlines
- StartingApply anytime.
Language
Credits
Delivered
Disciplines
Data Science & Big Data Artificial Intelligence Machine Learning View 261 other Short Courses in Machine Learning in United StatesAcademic 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
- Business leaders who want to learn how AI & ML solutions can be built with no code platform
- Operations and Product Managers interested in leading with data and developing quick proof of concept solutions to drive new initiatives off the ground
- Entrepreneurs, Consultants, and Solution-builders who want the ability to quickly build working prototypes or solutions for clients and stakeholders to establish feasibility and viability
- Working professionals with non-technical background aspiring to lead AI and data-driven teams and build innovation initiatives using AI and ML technologies
Tuition Fee
-
International
2850 USD/fullTuition FeeBased on the tuition of 2850 USD for the full programme during 3 months. -
National
2850 USD/fullTuition FeeBased on the tuition of 2850 USD for the full programme during 3 months.