Info session: Mentor-Led Data Science & AI Program
Full info session · 30 min
How mentorship works, how participants progress through technical and project phases, how assessments are used, and how career development is integrated.
Watch on YouTubeInfo Session — Mentor-Led Data Science & AI Program
RegisterMagnimind Academy · Palo Alto · Mentor-led since 2016
Next cohort begins November 1, 2026
Application is free. Admission and program entry point are determined through an academic interview and technical assessment.



Step 01 — Mentor beside you
Regular 1:1 guidance from experienced practitioners
Learn · Build · Demonstrate
Learn
Regular 1:1 guidance from experienced technical professionals while you build foundations.
Build
Six documented ML, deep-learning, and agentic-AI projects, then a nine-week industry-oriented project.
Demonstrate
Defend every decision to mentors, then to hiring managers — with a portfolio and interview preparation to match.
Your progress, every week
Every participant gets a personal dashboard that tracks the whole program — not just lessons. Week and phase position, the active module, each of the six projects, and the career track: mentor 1:1s, interview Q&A, coach meetings and mock interviews. Your mentor reviews it with you at every check-in.
Example shows a Full Track participant in week 6.
Program
Week 6 / 24
Phase 1 of 3
Active module
Unsupervised Learning, Tuning & Model Selection
45% · 3 lessons left
Academic project phases
Highlights first — expand for every milestone
Technical Foundations · 9w
62%
Applied Project Studio · 6w
0%
Industry-Oriented Project · 9w
0%
Overall 23% complete
Career track accelerator
Coaching, interview prep and mock interviews
Mentor 1:1 meetings
50%
Interview Q&A sessions
76%
Career coach meetings
67%
Mock interviews
75%
Overall 67% complete
The experience gap
Courses teach syntax and frameworks. The harder step is making decisions when the problem is incomplete, the data is imperfect, and you have to defend your approach. That is where mentorship and repeated applied work matter.
Learn
Build technical foundations.
Apply
Use those foundations repeatedly across increasingly complex projects.
Defend
Explain your decisions, tradeoffs, results, and limitations to experienced practitioners.
Info session
Before applying, watch a full Magnimind information session. You'll see how mentorship works, how participants progress through technical and project phases, how assessments are used, and how career development is integrated.
Register for the next live session here
RegisterFull info session · 30 min
How mentorship works, how participants progress through technical and project phases, how assessments are used, and how career development is integrated.
Watch on YouTubeHow the program is structured
Nine weeks of foundations, six weeks of projects, nine weeks of industry-oriented work. Accelerated participants join at Phase 2.
Phase 1 · Technical Foundations · Nine weeks
Structured technical material, with mentors identifying weaknesses, challenging assumptions, and connecting concepts to real applications.
Phase 1 ends with an applied capstone that is built end to end, deployed, and defended to a mentor panel before advancing.
Phase 2 · Applied Project Studio · Six weeks
Each project asks you to understand the problem, make technical choices, interpret results, communicate limitations, and respond to mentor feedback.
2
Machine learning projects
2
Deep learning projects
2
Modern AI / agentic AI projects
Phase 3 · Industry-Oriented Project · Nine weeks
Less instruction. More ambiguity. More independent reasoning.
Incomplete specifications, imperfect information, iterative feedback, and real tradeoffs — the kind of uncertainty found in professional technical work.
Projects may involve
Mentorship model
Depending on track and project needs, you work with several members of the Magnimind mentor network — typically four to five people across the program.
Technical mentor
Foundations, technical reasoning, progress.
Project mentor
Applied projects, code review, technical decisions.
Domain / industry professional
Industry context where relevant and available.
Career coach
Résumé, LinkedIn, positioning, behavioral preparation.
Interview practitioners
Technical and behavioral interview practice.

Dr. Yasin Ceran
Co-founder, Magnimind Academy · Faculty, San José State University
Mentors: Technical foundations and project review
Teegan Bartos
Career & Recruiting Coach
Mentors: Résumé, LinkedIn, interview preparation

Murat Baday
Founder, Magnimind Academy · Stanford University
Mentors: Industry-oriented projects and portfolio direction

Tyler Suard
AI Engineer, Meta
Mentors: LLM applications, retrieval pipelines, agent design

Tirthajyoti Sarkar
AI Lead, Onsemi
Mentors: Machine learning, Python engineering, optimization

Dane Miller
Data Scientist
Mentors: Experimentation, model deployment, interview preparation
Project domains
Experience in healthcare, engineering, science, business, or analytics can guide your project selection, subject to readiness, mentor availability, and available projects.
Healthcare & medical AI
Readmission-risk or triage models on public clinical datasets
Finance & fintech
Fraud detection and time-series forecasting
Retail & operations
Demand forecasting and inventory optimization
Business analytics
Churn modeling and decision dashboards
NLP & language applications
RAG assistants over domain documents
Decision support
Recommendation and ranking systems
Scientific / research applications
Experiment analysis and research-dataset modeling
AI product applications
Agentic workflows with evaluation and monitoring
Career development
Résumé, LinkedIn, GitHub, and project case studies that communicate technical depth — plus up to 10 structured mock-interview sessions during the support period.
01
Résumé & positioning
02
Interview practice
03
Project communication
Tracks & tuition
The admissions interview and technical assessment decide whether you start from foundations or enter at the applied-project level.
For career changers and anyone who needs stronger foundations.
$9,000
or 8 monthly installments of $1,375 ($11,000 total)
The Accelerated Track does not reduce the technical standard. It allows qualified participants to begin after the foundational phase.
$7,000
or 8 monthly installments of $1,125 ($9,000 total)
Magnimind provides education, mentorship, applied project experience, and career-development support. Magnimind does not guarantee employment, job placement, interviews, recruiter interest, compensation, or employment with any specific organization. Tuition may be paid upfront or through the installment plan shown; installment totals are stated in full. Review the Enrollment Terms & Cancellation Policy before payment.
What your program includes
For six months after you finish, you keep meeting with our Career Management Professional (CMP) for continued job-search support, and additional support is provided where it is needed. You also keep LMS access to designated materials under the program terms.
Your certificate
On completion you receive a Magnimind Certificate of Completion with your name, the completion date, and a unique verification code anyone can check online. It is not a college degree, professional license, government credential, industry certification, or guarantee of employment.
Magnimind Academy · Menlo Park, California
Mentor-led program
awarded to
Your Name Here
for completing
Mentor-Led Data Science & AI Program
Awarded after completing the mentor-led phases, the documented project portfolio, and the defended industry-oriented project.
Murat Baday
Dr. Murat Baday
CEO, Magnimind Academy
Yasin Ceran
Dr. Yasin Ceran
Academic Director

Issued November 1, 2026
MAG-MLP-2026-SPECIMEN
Verify at magnimindacademy.com/academy/certificate
Three programs with different aims. The admissions team will tell you honestly at the interview if another one fits better.
Admissions
Application
Submit your background, goals, résumé or LinkedIn profile. No payment required.
Interview
Meet with the Magnimind team to discuss your background, goals, availability, and expectations.
Technical assessment
When applicable, technical readiness is evaluated to determine the appropriate entry point.
Admission & enrollment
Accepted applicants receive program details, applicable tuition options, and enrollment documentation. Payment is requested only after admission.
Admission is selective. The interview and, where applicable, the technical assessment determine the appropriate track. Magnimind may recommend additional preparation first.
Our admissions team reviews your application and contacts qualified applicants about next steps. Application is free; no payment is requested before admission.
Next cohort begins November 1, 2026. Applications close October 15, 2026.
Attend an info session or submit an application. We will review your background, goals, and readiness and tell you whether Magnimind is currently the right fit — and where you should begin.
No payment is required to apply.
info@magnimindacademy.com · (408) 475-4348 · 585 Glenwood Avenue, Menlo Park, California 94025 · Mon–Sat 08:00–18:00 PT
Magnimind Academy has applied to the California Bureau for Private Postsecondary Education for approval to operate. Approval is pending. Mentor and alumni affiliations describe individual backgrounds and do not imply institutional endorsement or partnership. Consumer Information