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 9 Oct 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.
- Provider link
See price and enroll at MIT Professional Education (official site) ↗
Official site. No commission.
- 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
- Format
- On Campus & Live Online course-based professional certificate program
- 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 (audience profile checked 13 September 2026).
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
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 (audience profile checked 13 September 2026).
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. (Figures as checked: audience profile 13 September 2026.)
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
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- Guide: Machine Learning at One Hour a Day: What the Course Pages Add Up To
Change log
Payment and purchase terms
Refunds and deferrals
Policy reviewed 16 September 2026: cancellation charges for qualifying MIT Short Programs depended on acceptance and course-start timing; the separate $325 application fee was non-refundable.
Full conditions and review limits · 16 September 2026
Limited applicability
Reviewed 16 September 2026: The reviewed terms concerned qualifying Short Programs courses used toward this program, not all MIT products, unrelated MIT/Emeritus programs, every delivery partner or future elective. Applying constituted enrollment if accepted, with penalties; the provider encouraged obtaining company or institution funding approval before applying.
Application fee and request
Reviewed 16 September 2026: The exact program page separately stated a non-refundable $325 application fee. The reviewed cancellation process used the Self-Service Portal, with charges assessed when the Short Programs office received the request.
Cancellation bands
Reviewed 16 September 2026: The reviewed schedule said: within seven days of acceptance and more than 42 days before the program, no cancellation fee and full payment refund, subject to the separately non-refundable application fee; more than 42 days before the program and more than seven days after acceptance, a $250 charge; 22–41 days before the program, 50% of the program fee; fewer than 22 days before the program, 100% of the program fee.
Unresolved boundary and dollar labels
Reviewed 16 September 2026: The published bands omitted exactly 42 days before the program. No treatment of that day is inferred. The source's dollar symbols are preserved; this copy does not add an ISO currency that the accepted field did not provide.
Source 1 · Checked
Attendance and payment exceptions
Reviewed 16 September 2026: The reviewed terms charged no-shows in full, gave no refund for arriving late or leaving early, and made already-paid registrants' refunds subject to the penalty schedule.
Source 1 · Checked
Deferral and transfer
Reviewed 16 September 2026: The reviewed admissions terms did not permit deferring acceptance to subsequent sessions; the FAQ also said admission and payments could not be deferred to a later year. Transfers were case-by-case through the portal. A transfer fewer than 15 days before the program incurred a transfer fee of 25% plus any course-cost difference. A substitute from the same company had to submit a new application.
Provider cancellation
Reviewed 16 September 2026: If the provider cancelled, the reviewed terms described refunding payment but excluded MIT liability for travel. The office aimed to give at least two weeks' notice for live virtual courses and four weeks for on-campus courses; those notice targets were not guaranteed deadlines.
Source 1 · Checked
Reading this policy
Reviewed 16 September 2026: This dated policy description does not determine a particular applicant's legal entitlement to a refund.
Source 1 · Checked
Installment payments
Reviewed 16 September 2026: no time-based installment plan was stated for the qualifying MIT Short Programs courses; the published payment-timing statements were not identical.
Full conditions and review limits · 16 September 2026
Payment arrangements, not an installment entitlement
Reviewed 16 September 2026: The reviewed pages allowed arranging multiple cards or transactions by phone, but did not establish a time-based installment plan.
Keep the timing statements separate
Reviewed 16 September 2026: The reviewed Course Fees wording said payment was due immediately on invoice; Payment Methods said within seven days of acceptance; the FAQ said immediately, allowed contacting the provider about an alternate arrangement, and required payment before the course began. No single reconciled deadline or entitlement to pay in installments is inferred.
Employer invoicing
Process reviewed 16 September 2026: qualifying MIT Short Programs accepted company purchase orders conditionally; PDF invoices went to the registrant to forward, not automatically to the employer.
Full conditions and review limits · 16 September 2026
Invoice handling
Reviewed 16 September 2026: The reviewed process emailed a PDF invoice to the registrant, who was responsible for forwarding it to the appropriate person or office. An alternate billing address could be supplied, with a separate invoice for each course and participant.
Source 1 · Checked
Company purchase-order deadline
Reviewed 16 September 2026: The reviewed process required immediate notification of a company purchase order. PO paperwork was due within two weeks after acceptance or six weeks before the program, whichever was earlier. If it was not received by that deadline, a letter of authorization could be submitted; enrollment was not guaranteed without a PO or authorization.
Source 1 · Checked
PO contents and payment before attendance
Reviewed 16 September 2026: The reviewed PO requirements included the registrant's name, program name and authorization for prepayment so payment would arrive before the course. If payment remained unpaid seven business days before the course started, the participant would be removed with applicable cancellation penalties.
Source 1 · Checked
What the fee includes
Fee basis reviewed 16 September 2026: qualifying MIT Short Programs were charged at individual per-course rates, with a separate certificate application fee, not one all-inclusive certificate tuition.
Full conditions and review limits · 16 September 2026
Housing and meals
Reviewed 16 September 2026: The reviewed fee guidance excluded housing and generally excluded meals unless the selected course said otherwise. Check the chosen course's meal exceptions rather than treating them as universal.
Unestablished inclusions
Reviewed 16 September 2026: The reviewed pages did not give an exhaustive list of included materials or services. This is a limit of those pages, not a claim that no materials or services would be provided.