© 2026 BlendED. All rights reserved.
AI+X Learning Pathway
Real company briefs, a mentor you can reach, and one year to something the outside world reads.
Outcomes, not time
Every plan is a defined set of artifacts, not a number of months.
Evidence, not attendance
Work enters your portfolio only with a written expert evaluation behind it.
A named mentor for the year
One mentor or coach plans your year with you and sets the strategy.
Rolling admission
Your year
Modular & non-linear
There is no fixed sequence. Modules run on a rolling calendar, so you can take them in any order, run two at once, or start a Journey while a program run is still going. Select a module to see what it involves.
AI+X Core
A Vision & Language PBL, or the MasterSeries if you arrive without Python. Either route clears the core requirement for whichever concentration you go on to complete.
Time
2 months per program
You leave with
Core cleared, and your first completed program
01 — Build · AI+X Core
MasterSeries
MasterSeries · a 12-step innovation process taking an AI+X idea from unmet need to a defensible build.
Ready if
No technical background required. You need a problem you care about.
Vision & Language
Build vision systems that reconstruct 3D scenes, detect objects, and synthesize images.
Ready if
You can train a neural network in PyTorch and read a paper’s method section without getting lost.
Vision & Language
Reconstruct and render 3D scenes, avatars, and physical simulation with neural representations.
Ready if
You can train a neural network in PyTorch and are comfortable with 3D coordinates and transforms.
Vision & Language
Build and evaluate language models for classification, entity recognition, and semantic similarity.
Ready if
You can write Python that loads a dataset, calls a library model, and reports an accuracy score.
01 — Build · 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.
C1
AI + Vision & Language
AI+X Core
Build the two modalities the whole AI+X stack runs on — visual and language systems.
C2
AI + Business & Finance
Turn business, market, and financial questions into models a decision-maker can act on.
C3
AI + Physical Intelligence
Make a physical system perceive, decide, and act in an unstructured environment.
C4
AI + Health Tech
Apply AI to biological and human data under the evidence standards clinical and life-science work demands.
Format
Two-month program run, live sessions
Team
3–6 students
Time
{{ weeklyHours }} per week
Choice
One topic per program run
AI+X Electives
Work you elect outside your path
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.
Four outcomes
Certificate image
01
Concentration certificate
Issued in your AI+X concentration, with a verification link.
Portfolio page screenshot
02
Portfolio page
Your completed programs published on a page you can send to an admissions officer or a recruiter.
Recommendation letter image
03
Recommendation letter
Written from the record of what you built, by the researcher who evaluated it.
GTC letter of submission image
04
Letter of submission
Sent on your behalf to the Global Talent Community for the opportunities you are applying to.
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.
02 — Prove
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
✓
An Outcome Spotlight, practitioner-reviewed
✓
Your public portfolio page
✓
A founder reference
·
One startup externship, earned
·
Criteria published up front
·
Usable for 3 years after
·
A named Industry Coach
·
Plans your year, sets career strategy
·
Held for the plan year
03 — On campus
One square mile holding Moderna, Takeda, Novartis, Google, Amazon and IBM Research, plus the labs and startups around them. You meet the teammates you built with online and finish one evaluated program in the room.
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
04 — 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.
