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Overview
Within the No Code and Agentic AI course at Massachusetts Institute of Technology (MIT) you will gain the skills to design and deploy AI-driven solutions using no code platforms like RapidMiner, and Teachable Machine.
This programme is ideal for
Professionals from technical and non-technical backgrounds ready to advance their skills in AI
- Non-Tech Professionals Entering AI
Learn to drive AI initiatives, lead AI and data-driven teams, and spearhead innovation using AI technologies using no code tools.
- Leaders Leveraging AI for Innovation
Understand how AI and Machine Learning solutions are developed and integrated to accelerate business growth and drive innovation.
- Managers Driving Rapid AI Deployment
Discover how to quickly build and launch AI-powered solutions and prototypes without heavy reliance on large data science teams.
- Consultants Expanding into AI Strategy
Build working prototypes or early solutions without needing large data teams, using no code platforms, and hands-on prototyping.
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Data Exploration - Structured Data
- Prediction Methods - Regression
- Decision Systems
- Project Week - Machine Learning Classification
- Recommendation Systems
- Prediction Methods - Neural Networks
- Computer Vision Methods
- Project Week - Neural Networks
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 3 months
Start dates & application deadlines
- Starting
- Apply before
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Language
English
Delivered
Online
Campus Location
- Boston, United States
Disciplines
Data Science & Big Data Artificial Intelligence Machine Learning View 213 other Short Courses in Machine Learning in United StatesExplore more key information
Visit programme websiteWhat 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
- The programme requires a foundational understanding of mathematics and statistics. If you are not familiar with these areas, it is recommended that you review them before the programme begins to keep pace with the curriculum from MIT Professional Education. Great Learning provides pre-work resources, including sessions by Dr. Abhinanda Sarkar (Learning Instructor) and Dr. Georg Huettenegger (Industry Professional), to help you strengthen your understanding of these fundamentals.
- No programming or advanced mathematics knowledge is required to participate in the No Code and Agentic AI programme : Building Data Science Solutions Programme. Familiarity with basic statistics and mathematics is recommended to maximize your learning experience and effectively apply the concepts taught in the programme.
Make sure you meet all requirements
Visit programme websiteTuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residents2850 USD / full≈ 2850 USD / full - Out-of-State2850 USD / full≈ 2850 USD / full
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Domestic
Applies to youIn-State2850 USD / full≈ 2850 USD / full
Funding
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