Program Overview

Program Overview

The No Code AI and Machine Learning: Building Data Science Solutions program is designed to equip learners with industry-valued AI and Machine Learning skills through an industry-relevant curriculum. The program is led by MIT faculty and includes in-depth modules on Generative AI, Responsible AI, and Agentic AI.

Program Details

• Duration: 12 weeks
• Format: Online
• Tuition Fee: $2,850 USD
• Certificate: Certificate of Completion from MIT Professional Education upon successful completion of the program

Program Outcomes

The program aims to enable learners to:

• Transform data into actionable insights using intuitive, no-code platforms
• Rapidly prototype, test, and operationalize machine learning models without writing code
• Leverage supervised and unsupervised learning, recommendation systems, deep learning, and computer vision
• Utilize Generative AI, Prompt Engineering, and Agentic AI to design intelligent, autonomous workflows

Curriculum

The industry-relevant curriculum includes modules covering:

• Pre-work: Introduction to Data Science and AI
• Week 1: Introduction to the AI and Generative AI Landscape
• Week 2: Data Exploration - Structured Data
• Week 3: Prediction Methods – Regression
• Week 4: Decision Systems
• Week 5: Project Week - Machine Learning Classification
• Week 6: Recommendation Systems
• Week 7: Prediction Methods – Neural Networks
• Week 8: Computer Vision Methods
• Week 9: Project Week - Neural Networks
• Week 10: Generative AI Foundations
• Week 11: Business Applications of Generative AI
• Week 12: Ethical and Responsible AI
• Self-Paced Modules: Data Exploration: Unstructured Data, Data Exploration: Temporal Data

Projects and Case Studies

The program includes 3 hands-on projects and over 20 case studies across various industries, such as:

• Hospitality
• Marketing and Advertising
• EdTech
• Healthcare
• Food & Nutrition Tech
• E-commerce

No-Code Tools Covered

• KNIME
• RapidMiner
• Teachable Machine
• ChatGPT
• Gemini
• NotebookLM
• Dall E
• And More...

Program Faculty

The program is led by MIT faculty, including:

• Stefanie Jegelka
• Caroline Uhler
• John N. Tsitsiklis
• Munther Dahleh
• Devavrat Shah

Learner Reviews

Learners have praised the program for its comprehensive curriculum, expert faculty, and supportive program managers.

Application Process

To apply, complete the online application form. The Great Learning program team will review your submission to assess your fit for the program.

Frequently Asked Questions

• What is the required weekly time commitment? The program consists of 10 modules, totaling approximately 80 study hours. Most participants can expect to spend an average of 6 to 12 hours per week on program activities.
• Is the program completely virtual? Yes, the program is delivered entirely online, allowing you to learn from anywhere.
• Will I receive a transcript or grade after completion of the program? No, the No Code AI and Machine Learning Program is a non-degree online program offered by MIT Professional Education in collaboration with Great Learning. As it is not a full-time or credit-bearing university program, official grades or transcripts are not issued. However, participants receive performance marks for each assessment and module to evaluate their understanding and determine eligibility for the certificate.