© 2026 BlendED. All rights reserved.
AI+X Learning Pathway
One year, real briefs from working researchers and companies, and a body of work someone outside this program can read and check.
An evidence-backed portfolio
3–4 projects you built, each with measured results — including where they fall short.
A written expert evaluation on every project
Assessed by the researcher or practitioner who set the brief, not scored by a rubric.
A direction you can name
One AI+X concentration you can speak to with work behind it — whatever you studied before.
Rolling admission
Four outcomes
01
Concentration certificate
Issued in your AI+X concentration, with a verification link.
02
Portfolio page
Your completed programs published on a page you can send to an admissions officer or a recruiter.
03
Recommendation letter
Written from the record of what you built, by the researcher who evaluated it.
04
Letter of submission
Sent on your behalf to the Global Talent Community for the opportunities you are applying to.
Your year
Modular & non-linear
No fixed sequence — take modules in any order, double up, or start your Journey before you've finished a program. Tap a module below to see what's in it.
AI+X Core
One core project gets you in — matched to your background — and moves you straight into the concentration you actually want.
Time
2 months per program
You leave with
AI+X Core complete, and your first finished program
AI+X Core
MasterSeries
MasterSeries · a 12-step innovation process taking an AI+X idea from unmet need to a defensible build.
View Details →Vision & Language
Build vision systems that reconstruct 3D scenes, detect objects, and synthesize images.
View Detail →Vision & Language
Reconstruct and render 3D scenes, avatars, and physical simulation with neural representations.
View Detail →Vision & Language
Build and evaluate language models for classification, entity recognition, and semantic similarity.
View Detail →Concentration
A concentration is a completion path with a certificate. Inside it are programs — a PBL or the MasterSeries — and inside each program are topics: parallel problem sets you choose between. You take one topic per program run.
AI + Vision & Language
AI+X Core
Build the two modalities the whole AI+X stack runs on — visual and language systems.
AI + Business & Finance
Turn business, market, and financial questions into models a decision-maker can act on.
AI + Physical Intelligence
Make a physical system perceive, decide, and act in an unstructured environment.
AI + Health Tech
Apply AI to biological and human data under the evidence standards clinical and life-science work demands.
Format
Two-month program, live sessions
Team
3–6 students
Time
6–8 hrs per week total
Choice
One topic per program run
Four more programs and twelve topics sit outside the concentrations, including the MasterSeries and Applied Quantum Simulation. They are taken and evaluated like any other program, but they do not advance a concentration.
Research or Industry
A Journey is the road to the result, and it is staffed the whole way. Outcome first, then who is assigned to you and how the support runs.
The journey
What you leave with
The work
How you are supported
✓
The paper, completed and submitted
✓
A submission record
✓
A written assessment
✓
A recommendation letter
·
One scoped paper
·
Guided submission strategy
·
A named research mentor
·
Plans your year, sets the strategy
·
Held for the plan year
✓
The externship deliverable
✓
Practitioner-reviewed outcome spotlight
✓
Your public portfolio page
✓
A founder reference
·
One earned externship
·
Criteria published up front
·
Usable for 3 years after
·
A named Industry Coach
·
Plans your year, sets career strategy
·
Held for the plan year
Who teaches
Each program is designed and taught by an active researcher or practitioner. Leads are introduced by lab and role; names are shared with enrolled students, not published here.
3D
Computational Design & Fabrication Group
Ph.D. Researcher · MIT CSAIL
Differentiable physical simulation and computational design. Published at SIGGRAPH, CVPR and ACM TOG. Leads the NVIDIA Project.
RBT
Robotic Manipulation Group
Ph.D., MIT CSAIL · CTO, robotics startup
Manipulation and state estimation during contact. First place, Amazon Robotics Challenge stowing task. Leads the Boston Dynamics Project.
ECO
Digital Economy Lab
Research Scientist · Stanford University
Seven years as a financial economist at the Federal Reserve Bank of Richmond. Leads the Bloomberg Project.
MED
Clinical Imaging AI
Senior Imaging Scientist · Novartis
Leads technical strategy for integrating AI into clinical trials. Two medical-device startups founded. Leads the Novo Nordisk Project.
BIO
Regenerative Bioengineering
Bioengineering Researcher · Stanford University
Comparative systems biology of regeneration. Co-creator of a 20-cent centrifuge recognized by INDEX: Design to Improve Life. Leads the Genentech Project.
QNT
Theory of Quantum Systems Group
Researcher · University of Oxford
Quantum error correction and variational algorithms. Previously at a neutral-atom quantum computing startup. Leads the IBM Qiskit Project.
Affiliations listed are each individual's own and do not imply institutional endorsement of BlendED.
On campus
Two weeks to defend what you built, in Kendall Square.Present your finished program in the room — to the lead who evaluated it and the team who built it with you — steps from Moderna, Google, Amazon, and IBM Research.
01
One evaluated program, finished on site
You present it in the room, to the lead who taught it and to your team.
02
Visits inside Kendall Square
How the work is actually organized where it happens, in the labs and companies on your doorstep.
03
A small-group roundtable
Capped small enough that you put your own question to the room.
04
The cohort, in person
The teammates you built with online, and the Global Talent Community you stay in after.
Students
Students come from engineering, life sciences, international relations and business analytics.
Coming from a humanities background, AI felt inaccessible at first. The foundation course gave me the confidence to enter the field, and the AI+X projects showed me how to apply AI thinking to new domains. For the first time, I could see how my background connects to emerging technologies.
Alice S.
B.S. International Relations, The University of Tokyo
The structured journey from AI foundations to applied PBLs completely changed how I see my future. Through the AI + Computer Vision in Biotech project, I didn't just learn new tools — I validated that Medical AI is the field I want to build my career in.
John J.
B.S. Electrical and Electronic Engineering, Yonsei University
The AI+Biotech concentration gave me both breadth and depth. I could choose projects aligned with my interests while applying machine learning in real-world biotech contexts. It felt less like coursework and more like building something that actually matters.
Yasmeen T.
B.Sc. (Hons) Life Sciences, National University of Singapore
Plans
Every plan includes the concentration and everything it leaves you with. The two Journeys add the deliverable that comes out of it.
Program
$6,290
/ year
Build the record: complete a concentration and publish what you made.
✓
Concentration certificate
✓
Portfolio page
✓
Recommendation letter
✓
Letter of submission to the GTC
✓
On-Campus Experience, one session
Full journey
Journey
$11,990
/ year
Everything in the concentration, plus one scoped paper, completed and submitted.
✓
Everything in AI+X Concentration
✓
One scoped paper, completed and submitted
✓
Named research mentor for the plan year
✓
Research OCE · lab visit and research roundtable
Full journey
Journey
$11,990
/ year
Everything in the concentration, plus work shipped inside a company.
✓
Everything in AI+X Concentration
✓
One guided startup externship, earned
✓
Named Industry Coach for the plan year
✓
Industry OCE · startup visits and founder roundtable
Do I need coding or AI experience?
+
It helps, but it is not required. AI+X Core programs and the entry tracks inside each project exist for exactly this, with mentor support alongside.
How much time does a program take each week?
+
Plan for 6–8 hrs per week over a two-month program run, including the live meeting. Most content outside the live session is asynchronous, and meeting times are coordinated across time zones.
Does the plan cover housing, travel and visas on campus?
+
No. Housing, travel and visa fees sit outside the plan. An optional accommodation package is available, and BlendED issues visa supporting documents and runs supervised programming on site for the full two weeks.
Can I switch between Research and Industry?
+
Once, in your first quarter, arranged with BlendED. After that the lane is set for the year, because mentor assignment, paper scoping and placement criteria are built around it.
What if we need to pause?
+
A set ladder agreed at signing: a 14-day grace period, then an access pause that holds deadlines while materials stay open, then one formal pause of up to 60 days per year. Completed programs and certificates stay yours in every case.
What if I don't have a clear goal yet?
+
That is fine. Your mentor helps you explore interests, try different AI+X fields, and define a direction. Several students arrive to test whether a field is right and leave having ruled one in.
Apply now and kick off your AI+X journey. Admission is rolling, and the plan is written around what you have already built.
