Professional Certificate Program in Machine Learning & Artificial Intelligence offered by MIT USA
- Private University
168 acre campus- Estd. 1861
Professional Certificate Program in Machine Learning & Artificial Intelligence at MIT USA Overview
Professional Certificate Program in Machine Learning & Artificial Intelligence
at MIT USA
The goal is to ensure businesses and individuals have the education and training necessary to succeed in the AI-powered future
Mode of learning | Online |
Course Level | UG Certificate |
Professional Certificate Program in Machine Learning & Artificial Intelligence
Table of contents
Professional Certificate Program in Machine Learning & Artificial Intelligence at MIT USA Highlights
Professional Certificate Program in Machine Learning & Artificial Intelligence
at MIT USA
- Earn a certificate of completion from MIT
Professional Certificate Program in Machine Learning & Artificial Intelligence at MIT USA Course details
Professional Certificate Program in Machine Learning & Artificial Intelligence
at MIT USA
Skills you will learn
Who should do this course?
- For Managers
- For Professionals looking for a deeper understanding and hands-on experience with MIT faculty and industry experts
- For Anyone whose work interfaces with data analysis
What are the course deliverables?
- Learn essential concepts and skills needed to develop effective AI systems
- Understand the challenges posed by AI in the workplace
- Apply cutting-edge, industry-relevant knowledge in machine learning and AI
- Network with an accomplished group of peers from around the globe
More about this course
- The program provides a well-rounded foundation of knowledge that can be put to immediate use to help people and organizations advance cognitive technology
- The program allows individuals to interact with all these key disciplines. Leading MIT faculty experts will guide participants through the latest breakthroughs in research, cutting-edge technologies, and best practices used for building effective AI-systems
- Machine learning is more than just algorithms: it requires math, statistics, data analysis, computer science, and programming skills
- This certificate guides participants through the latest advancements and technical approaches in artificial intelligence technologies such as natural language processing, predictive analytics, deep learning, and algorithmic methods to further your knowledge of this ever-evolving industry
Professional Certificate Program in Machine Learning & Artificial Intelligence at MIT USA Curriculum
Professional Certificate Program in Machine Learning & Artificial Intelligence
at MIT USA
Core Courses
Machine Learning for Big Data and Text Processing: Foundations
Machine Learning for Big Data and Text Processing: Advanced
Electives
Advanced Reinforcement Learning
AI for Computational Design and Manufacturing
AI Strategies and Roadmap: Systems Engineering Approach to AI Development and Deployment
Applied Data Science Program
Bioprocess Data Analytics and Machine Learning
Deep Learning for AI and Computer Vision
Designing Efficient Deep Learning Systems
Ethics of AI: Safeguarding Humanity
Foundations of Data and Models: Regression Analysis
Graph Algorithms and Machine Learning
Machine Learning for Healthcare
Modeling and Optimization for Machine Learning
No Code Analytics and AI
Reinforcement Learning
Professional Certificate Program in Machine Learning & Artificial Intelligence at MIT USA Faculty details
Professional Certificate Program in Machine Learning & Artificial Intelligence
at MIT USA
Stefanie Jegelka
Stefanie Jegelka is an X-Consortium Career Development Associate Professor in the Department of Electrical Engineering and Computer Science at MIT, where she is a member of CSAIL, and affiliated with IDSS.
Regina Barzilay
Regina Barzilay is a School of Engineering Distinguished Professor for AI and Health in the Department of Electrical Engineering and Computer Science and a member of the Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology.
Tommi S. Jaakkola
Tommi Jaakkola is a Thomas Siebel Professor of Electrical Engineering and Computer Science and the Institute for Data, Systems, and Society. He is also a member of the Computer Science and Artificial Intelligence Laboratory.
Professional Certificate Program in Machine Learning & Artificial Intelligence at MIT USA Entry Requirements
Professional Certificate Program in Machine Learning & Artificial Intelligence
at MIT USA
PTE
- No specific cutoff mentioned
Other eligibility criteria
- Education: bachelor's degree
- Experience: Professionals with at least three years of professional experience
Conditional Offer
- No
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Professional Certificate Program in Machine Learning & Artificial Intelligence at MIT USA Contact Information
Professional Certificate Program in Machine Learning & Artificial Intelligence
at MIT USA
Address
77 Massachusetts Ave, Cambridge, MA 02139, USA
Cambridge ( Massachusetts)
Phone
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