Program Overview

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Program Overview

The Applied AI and Data Science Program is a 14-week live virtual program offered by MIT Professional Education. The program is designed to provide a comprehensive learning experience, covering key technologies such as artificial intelligence, machine learning, deep learning, recommendation systems, and more.

Program Structure

The program consists of:

• Modules on ChatGPT and Generative AI
• Foundation courses to build essential knowledge
• Core courses covering key AI and data science concepts
• Project submissions to apply learning in practical scenarios
• Capstone projects for solving real-world problems
• Self-paced modules on ChatGPT and Generative AI to explore emerging technologies

Program Details

• Duration: 14 weeks
• Format: Live virtual sessions
• Faculty: MIT faculty
• Mentors: Experienced program mentors from leading companies
• Projects: Hands-on projects and case studies using emerging tools and technologies
• Certificate: Certificate of completion from MIT Professional Education

Program Curriculum

The curriculum includes:

• Foundations of AI: Establishing essential programming and statistical foundations
• Data Analysis and Visualization: Hypothesis testing, dimensionality reduction, network analysis, and clustering algorithms
• Machine Learning: Building foundational machine learning models and understanding their evaluation
• Deep Learning: Exploring neural networks and their applications in computer vision and language processing
• Recommendation Systems: Designing intelligent systems for personalization
• Generative AI Foundations: Understanding the architecture, evolution, and foundations of Generative AI
• Business Applications of Generative AI: Applying Generative AI and Agentic AI to drive business transformation

Program Projects

The program includes hands-on projects and case studies, such as:

• Brain Tumor Image Classifier: Building a binary classification model to detect Pituitary Tumors in MRI scans
• Network Stock Portfolio Optimization: Using network analysis and clustering techniques to construct optimized stock portfolios
• Marketing Campaign Analysis: Applying dimensionality reduction techniques and clustering algorithms to uncover meaningful patterns in customer behavior

Program Tools and Technologies

The program covers 10+ top AI and Data Science low-code tools, including:

• Python
• NumPy
• Pandas
• TensorFlow
• Transformers
• Seaborn
• Scikit-Learn
• Keras
• OpenCV
• LangChain
• Hugging Face
• ChatGPT
• Dalle

Program Certificate

Upon completing the program, participants receive a certificate of completion from MIT Professional Education.

Program Fees

The total program fee is USD 3900.

Program Eligibility

The program is open to individuals with:

• Basic exposure to computer programming languages
• High school-level knowledge of statistics and mathematics

Program Application Process

The application process involves:

1. Registering by completing the online application form
2. Application screening by a panel from Great Learning
3. Receiving an offer for a seat in the upcoming cohort of the program

Program Career Support

The program offers dedicated career support, including:

• 1-on-1 career sessions
• Resume and LinkedIn profile review
• Building an industry-ready ePortfolio

Program Faculty and Mentors

The program features mentorship from Data Science and Machine Learning experts, including:

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

Program Testimonials

The program has received positive testimonials from past participants, highlighting the program's comprehensive curriculum, experienced faculty, and hands-on projects.