Program profile · official sources
Professional Certificate Program in Machine Learning & Artificial Intelligence
The Professional Certificate Program in Machine Learning and Artificial Intelligence is an On Campus and Live Online course-based program from MIT Professional Education. Learners complete at least 16 days of qualifying Short Programs courses within a 36-month window. The curriculum requires the Machine Learning for Big Data and Text Processing core courses; learners with prior experience may begin with the Advanced course, while others must take Foundations and Advanced. Participants then select electives covering topics like natural language processing, predictive analytics, deep learning algorithms, robotics, and large language model architecture. The credential requires full attendance for each selected course. Tuition is charged per selected course, in addition to a USD 325 non-refundable application fee.
Facts checked 13 Sep 2026
- Price
- See pricing
Non-refundable application fee USD 325 plus per-course fees. No single total program price or cheapest qualifying 16-day pathway is stated; none calculated.
- Time
- At least 16 days of qualifying courses, completed within 36 months of the first qualifying course. Attend the full duration of each course; not a 36-month instruction duration or guaranteed completion estimate.
- Level
- Not listed
- Credential
- Professional Certificate
- Prerequisites
- Core-course route depends on experience: prior machine-learning experience permits starting with Advanced; without relevant experience, take Foundations and Advanced. The stated three-year experience and technical bachelor's profile is under Who Should Attend, not independently stated as a universal admission requirement.
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
- Duration
- At least 16 days of qualifying courses, completed within 36 months of the first qualifying course. Attend the full duration of each coursenot a 36-month instruction duration or guaranteed completion estimate.
- Format
- On Campus & Live Online course-based professional certificate program
- Credential
- Professional Certificate
- Prerequisites
- Core-course route depends on experience: prior machine-learning experience permits starting with Advanced; without relevant experience, take Foundations and Advanced. The stated three-year experience and technical bachelor's profile is under Who Should Attend, not independently stated as a universal admission requirement.
Sources ↗
No accepted numeric price in this registry. See the sourced pricing details below.
See the full registry price landscape. Prices retain their stated payment scope; they are not comparable completion costs.
What’s covered
- Machine Learning for Big Data and Text Processing: Foundations
- Machine Learning for Big Data and Text Processing: Advanced
- Advanced Data Analytics for IIOT and Smart Manufacturing
- AI for Engineers
- AI for Scientific Discovery
- AI in Robotics: Learning Algorithms, Design and Safety
- AI System Architecture and Large Language Model Applications
- Applied AI and Data Science Program
- Bioprocess Data Analytics and Machine Learning
- Deep Learning for AI and Computer Vision
- Designing Efficient Deep Learning Systems
- Ethics and Risks of AI: Building Responsible AI, Machine Learning, and GPTs
- Graph Algorithms and Machine Learning
- AI and the Future of Workplace Analytics
- Math and Modeling for Modern AI
Prerequisites: Core-course route depends on experience: prior machine-learning experience permits starting with Advanced; without relevant experience, take Foundations and Advanced. The stated three-year experience and technical bachelor's profile is under Who Should Attend, not independently stated as a universal admission requirement.
What are the prerequisites and core requirements for this program?
The core requirement includes the Machine Learning for Big Data and Text Processing courses. Your specific path depends on your background: learners with prior machine learning experience may start directly with the Advanced course, while those without relevant experience must take the Foundations course before the Advanced course. Generally, the program is designed for professionals with at least three years of experience and a minimum of a technical bachelor's degree (such as computer science, statistics, physics, or electrical engineering). Additionally, specific electives may have their own prerequisites; for example, the Deep Learning for AI and Computer Vision module requires experience in Python programming, linear algebra, calculus, statistics, and probability.
How is the program structured and how long does it take to complete?
Participants must complete a total of at least 16 days of qualifying courses, including the required core courses. All courses must be completed within 36 months of starting the first qualifying course. You must attend the full duration of each selected course to meet the requirements. The program format is On Campus and Live Online, with courses primarily taking place during June, July, and August on the MIT campus, though other locations may be offered depending on the individual course. The 36-month limit is the window for meeting the requirements, not a stated duration of instruction or an estimate of preparation time.
How much does the MIT Professional Education ML and AI certificate cost?
The certificate has a non-refundable application fee of USD 325, followed by tuition for the individual courses selected after program acceptance. The official page does not state one total price for the full certificate. For example, the Foundations course is listed at USD 2500 and Advanced at USD 3500; elective courses have their own listed fees. These examples are not a complete qualifying pathway or a certificate total. The selected courses must meet the requirement for at least 16 qualifying days, including the applicable core courses.
What you actually do
- Machine Learning for Big Data and Text Processing: Foundations — 2 days; Core route; mathematical concepts including probability, statistics, classification, regression and optimization. Listed course fee: USD 2500. · Source
- Machine Learning for Big Data and Text Processing: Advanced — 3 days; Core route; practical modern and predictive analysis tools and limitations. Listed course fee: USD 3500. · Source
- Advanced Data Analytics for IIOT and Smart Manufacturing — 4 days; Elective Listed course fee: USD 3900. · Source
- AI for Engineers — 5 days; Elective Listed course fee: USD 4700. · Source
- AI for Scientific Discovery — 3 days; Elective Listed course fee: USD 3600. · Source
- AI in Robotics: Learning Algorithms, Design and Safety — 3 days; Elective Listed course fee: USD 3750. · Source
- AI System Architecture and Large Language Model Applications — 5 days; Elective; hands-on group LLM application project. Listed course fee: USD 4500. · Source
- Applied AI and Data Science Program — 5 day equivalent; description says 14-week program; Elective; distinct duration bases preserved. Listed course fee: USD 3900. · Source
- Bioprocess Data Analytics and Machine Learning — 3 days; Elective Listed course fee: USD 3500. · Source
- Deep Learning for AI and Computer Vision — 4 days; Elective; Python programming and linear algebra, calculus, statistics and probability experience stated for this course only. Listed course fee: USD 3900. · Source
- Designing Efficient Deep Learning Systems — 2 days; Elective Listed course fee: USD 2500. · Source
- Ethics and Risks of AI: Building Responsible AI, Machine Learning, and GPTs — 4 days; Elective; working sessions, case studies and hands-on exercises. Listed course fee: USD 4200. · Source
- Graph Algorithms and Machine Learning — 4 half-days; Elective; do not normalize into four full days. Listed course fee: USD 2500. · Source
- AI and the Future of Workplace Analytics — 3 days; Elective Listed course fee: USD 3750. · Source
- Math and Modeling for Modern AI — 5 days; Elective Listed course fee: USD 4900. · Source
What the credential is
- Credential type
- Professional Certificate · professional.mit.edu / professional-certificate-program-machine-learning-artificial-intelligence-0
- Credential
- Professional Certificate in Machine Learning and Artificial Intelligence · professional.mit.edu / professional-certificate-program-machine-learning-artificial-intelligence-0
- Issuer
- MIT Professional Education · professional.mit.edu / professional-certificate-program-machine-learning-artificial-intelligence-0
Who should skip it
Alternatives in the registry
Related by topic or level.
- AI Fundamentals — DataCamp Premium — USD 35/month for course content, billed monthly at the regular price; Approximately 9 hours.
- CS50’s Introduction to Artificial Intelligence with Python — Check official price; Seven weeks of material; self-paced.
- Artificial Intelligence Graduate Certificate — Check official price; Most students complete in 1–2 years; four courses must be completed within three academic years. Average 15–20 hours per week per course..
Change log
- : Official program facts recorded. · Source