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No Code AI and Machine Learning - Building Data Science Solutions Massachusetts Institute of Technology (MIT)

Highlights
Tuition fee
2850 USD / full
2850 USD / full
2850 USD / full
Unknown
Tuition fee
2850 USD / full
2850 USD / full
2850 USD / full
Unknown
Duration
3 months
Duration
3 months
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Unknown
Start date
Unknown
Taught in
English
Taught in
English

About

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 AI and Machine Learning to make data-driven business decisions by understanding the theory and practical applications of supervised and unsupervised learning, neural networks, recommendation engines, computer vision, etc.

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

Language

English

Credits

8 alternative credits

Delivered

Online

Campus Location

  • Boston, United States

What students do after studying Computer Science & IT

This information is based on LinkedIn alumni data for graduates from 2018 to 2024 and may not fully represent all career outcomes

Total alumni
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Academic 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 Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    2850 USD / full
    2850 USD / full
  • Out-of-State
    2850 USD / full
    2850 USD / full
  • Domestic

    In-State
    2850 USD / full
    2850 USD / full

Funding

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No Code AI and Machine Learning - Building Data Science Solutions
Massachusetts Institute of Technology (MIT)
No Code AI and Machine Learning - Building Data Science Solutions
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Massachusetts Institute of Technology (MIT)

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