Info Session — Mentor-Led Data Science & AI Program

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Magnimind Academy · Palo Alto · Mentor-led since 2016

You don't need another course.You need guided experience.

  • Personalized 1:1 mentorship from working Silicon Valley practitioners
  • Six documented ML, deep-learning and agentic-AI projects
  • Nine-week industry-oriented project for your portfolio
  • Career preparation: résumé, LinkedIn, mock interviews
  • Six months of post-program support and a 40,000+ community
Applications close October 15, 2026

Next cohort begins November 1, 2026

Application is free. Admission and program entry point are determined through an academic interview and technical assessment.

A Magnimind mentor reviewing a data science portfolio with a studentA laptop showing a machine learning dashboard built during the programA participant presenting a model architecture diagram and evaluation charts to mentors

Step 01Mentor beside you

Regular 1:1 guidance from experienced practitioners

LearnBuildDemonstrate
2016
Founded by research scientists
20+
Cohorts delivered
40,000+
Community members
300+
Events and workshops

Learn · Build · Demonstrate

Three things the program is built to do

  1. 01

    Learn

    Regular 1:1 guidance from experienced technical professionals while you build foundations.

  2. 02

    Build

    Six documented ML, deep-learning, and agentic-AI projects, then a nine-week industry-oriented project.

  3. 03

    Demonstrate

    Defend every decision to mentors, then to hiring managers — with a portfolio and interview preparation to match.

Your progress, every week

Nothing slips silently. You and your mentor see the same board.

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.

  • Live week and phase position across the 24-week map
  • Module and lesson completion with streaks and open follow-ups
  • Per-phase milestones, expandable to every deliverable
  • Career track meters: coaching, interview prep and mock interviews

Example shows a Full Track participant in week 6.

38%24 weeks

Program

Week 6 / 24

Phase 1 of 3

Active module

Unsupervised Learning, Tuning & Model Selection

45% · 3 lessons left

Day streak
23
Day streak
Open follow-ups
3
Open follow-ups
Projects documented
2 / 6
Projects documented
Active module
45%
Active module

Academic project phases

Highlights first — expand for every milestone

Details

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

Details

Mentor 1:1 meetings

50%

Interview Q&A sessions

76%

Career coach meetings

67%

Mock interviews

75%

Overall 67% complete

The experience gap

Knowing the tools is different from being able to use them.

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

See how the program actually works

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.

  • How mentor matching works
  • How technical readiness is evaluated
  • How projects progress from guided to increasingly independent work
  • How portfolio and interview preparation are integrated
  • How industry-oriented projects are selected

Register for the next live session here

Register

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 YouTube

How the program is structured

Phase 1 · Phase 2 · Phase 3

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

Build the foundation you can defend

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.

  • Python
  • SQL
  • Statistics
  • Data analysis
  • Machine learning
  • Deep learning
  • Data pipelines
  • Modern AI workflows
  • Cloud and deployment concepts

Phase 2 · Applied Project Studio · Six weeks

Six projects in six weeks. Increasing independence.

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

Work on problems that look more like industry

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

  • Industry-relevant business problems
  • Research collaborations
  • Participating organizations
  • Mentor-sourced project problems
  • Open-source environments
  • Public datasets
  • Research datasets
  • Simulated or synthetic datasets
  • Partner-provided datasets when available and authorized

Mentorship model

You should not depend on one person

Depending on track and project needs, you work with several members of the Magnimind mentor network — typically four to five people across the program.

  1. 01

    Technical mentor

    Foundations, technical reasoning, progress.

  2. 02

    Project mentor

    Applied projects, code review, technical decisions.

  3. 03

    Domain / industry professional

    Industry context where relevant and available.

  4. 04

    Career coach

    Résumé, LinkedIn, positioning, behavioral preparation.

  5. 05

    Interview practitioners

    Technical and behavioral interview practice.

Meet some of the mentors

  • Portrait of Dr. Yasin Ceran

    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

  • Portrait of Murat Baday

    Murat Baday

    Founder, Magnimind Academy · Stanford University

    Mentors: Industry-oriented projects and portfolio direction

  • Portrait of Tyler Suard

    Tyler Suard

    AI Engineer, Meta

    Mentors: LLM applications, retrieval pipelines, agent design

  • Portrait of Tirthajyoti Sarkar

    Tirthajyoti Sarkar

    AI Lead, Onsemi

    Mentors: Machine learning, Python engineering, optimization

  • Portrait of Dane Miller

    Dane Miller

    Data Scientist

    Mentors: Experimentation, model deployment, interview preparation

Project domains

Bring your existing domain knowledge with you

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

Career preparation runs beside the technical work

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

  • Résumé
  • LinkedIn
  • Portfolio
  • Technical case studies
  • Professional positioning

02

Interview practice

  • Technical questions
  • Behavioral interviews
  • STAR method
  • Project explanations
  • Mock interviews

03

Project communication

  • End-to-end project thinking
  • Technical tradeoffs
  • Communication
  • Deployment concepts
  • Professional collaboration

Tracks & tuition

One program, two entry points

The admissions interview and technical assessment decide whether you start from foundations or enter at the applied-project level.

Start from foundations

Full Track · 24 weeks

For career changers and anyone who needs stronger foundations.

  1. Phase 1Technical FoundationsWeeks 1–9
  2. Phase 2Applied Project StudioWeeks 10–15
  3. Phase 3Industry-Oriented ProjectWeeks 16–24

$9,000

or 8 monthly installments of $1,375 ($11,000 total)

Enter after foundations

Accelerated Track · 15 weeks

The Accelerated Track does not reduce the technical standard. It allows qualified participants to begin after the foundational phase.

  1. Phase 2Applied Project StudioWeeks 1–6
  2. Phase 3Industry-Oriented ProjectWeeks 7–15

$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

Everything in the tuition, by track

Full Track

  • Structured technical foundations (nine weeks)
  • Magnimind LMS access
  • Mentor guidance
  • Applied assignments and a defended capstone
  • Six documented ML, deep-learning, and agentic-AI projects
  • Nine-week industry-oriented project
  • Career-development support
  • Résumé and LinkedIn guidance
  • Interview preparation, including up to 10 mock-interview sessions
  • Community access
  • Six months of post-program support as defined in program terms
  • Magnimind Certificate of CompletionIt is not a college degree, professional license, government credential, industry certification, or guarantee of employment.

Accelerated Track

  • Applied Project Studio
  • Mentor guidance
  • Six documented ML, deep-learning, and agentic-AI projects
  • Nine-week industry-oriented project
  • Career-development support
  • Résumé and LinkedIn guidance
  • Interview preparation, including up to 10 mock-interview sessions
  • Community access
  • Six months of post-program support as defined in program terms
  • Magnimind Certificate of CompletionIt is not a college degree, professional license, government credential, industry certification, or guarantee of employment.

After the program

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.

  • Career questions
  • Periodic résumé and profile review
  • Mock-interview support
  • Community access
  • Applicable workshops

Your certificate

A sample of what you receive

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

Certificate of Completion

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

Magnimind Academy

Issued November 1, 2026

MAG-MLP-2026-SPECIMEN

Verify at magnimindacademy.com/academy/certificate

Specimen only — issued credentials carry the learner name and a unique verification code.

What is on it

  • Your full name and the program name
  • Completion date and unique credential code
  • Signature of the founder, Dr. Murat Baday
  • A public verification page for employers
See how verification works

How this compares to our other programs

Three programs with different aims. The admissions team will tell you honestly at the interview if another one fits better.

Admissions

Admission starts with fit, not payment

  1. 01

    Application

    Submit your background, goals, résumé or LinkedIn profile. No payment required.

  2. 02

    Interview

    Meet with the Magnimind team to discuss your background, goals, availability, and expectations.

  3. 03

    Technical assessment

    When applicable, technical readiness is evaluated to determine the appropriate entry point.

  4. 04

    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.

Start your application

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.

Information submitted through this form is used to evaluate program interest and communicate about Magnimind programs. See our Privacy Policy for details.

Frequently asked questions

You can learn the tools anywhere.Build the experience with guidance.

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