4-Month AI Fellowship

AI Product Management Fellowship

Build AI-first products. Ship real work. A live fellowship that teaches modern product management—from discovery to MVP.

Source: PwC AI Jobs Barometer 2026
≈5× faster
AI PM role demand
AI roles
+74%
Traditional
+14%
+38%
AI PM pay premium
AI PM
138
Traditional PM
100
Next cohortEnrolling
October 17, 2026
Duration4 months
FormatHybrid · live + self-paced
Live sessionsTwice a week (1 on weekday and 1 on weekend)
Tuition$4,950
Seats remaining8 of 30 left
The problem

Learning AI has never been easier.
Becoming an AI professional has never been harder.

Learning alone
Endless YouTube rabbit holes
Disposable tutorials
Certificates nobody checks
No one to unblock you
Passive consumption
vs
Syntax Fellowship
A structured 4-month roadmap
Real products, shipped
A portfolio that proves it
Mentors who unblock you
Hands-on experience

Most people consume AI content.
Syntax fellows build AI solutions.

Why Syntax is different

Four ways we turn learners into builders

01 · LEARN

Frameworks, not facts

Live masterclasses that teach the mental models behind AI — so you adapt as fast as the tools change.

02 · BUILD

Ship every month

Each month ends in a working product. You learn by building things real users could actually use.

03 · COLLABORATE

Build with peers

A serious cohort of professionals — peer reviews, sprint teams, and a network you keep for life.

04 · LAUNCH

Graduate career-ready

Demo Day, a polished portfolio, and career support that helps you land the AI role you trained for.

The fellowship journey

Four months from curious to capable

Eight modules across sixteen weeks. Scroll through them in order, or jump to any module from the list.

01
Module 01

Product Management Foundations

What product management actually is and how PMs reason. The role and its variants, the core frameworks, and business strategy translated into OKRs, KPIs and a vision you can defend.

What you'll learn
Foundations of Product Management
PM Frameworks and Role Differentiation
Business-Product Alignment
Crafting Vision and Strategy
Learning outcomes
Explain the PM role against project management and business analysis
Apply core PM frameworks to real product scenarios
Write a product vision backed by OKRs and input/output metrics
What you'll build
A product vision and strategy pyramid

Case activity on a day in the life of a PM, then a strategic-evolution case study behind your own vision statement.

Career skills gained
Product VisionOKRs & KPIsPM FrameworksImpact MappingProduct Strategy Pyramid
02
Module 02

Discovery & Business Acumen

From a blank page to documented requirements. Structured ideation, market and competitor analysis, customer research — plus the business and financial picture behind every decision.

What you'll learn
Structured Ideation Techniques
Market, Customer, and Requirements Discovery
Business and Financial Acumen for PMs
Data & Execution Tools for Modern PMs
Learning outcomes
Run ideation from problem identification through to concepts
Turn market and user research into user stories and PRDs
Read product financials, revenue models and the business model canvas
What you'll build
A PRD backed by real research

Market and user research translated into good user stories and a written product requirements document.

Tools you'll use
Power BIExcelJira
Career skills gained
Design ThinkingMarket & Competitor AnalysisCustomer & User ResearchUser Stories & PRDsBusiness Model CanvasProduct Financials
03
Module 03

Market Validation & MVP

Prove the idea before building it. Segment the market, build personas from real data, test concepts with users, then decide what the first release actually contains.

What you'll learn
Understanding Your Market & Users
Market Feedback as Product Intelligence
Concept Testing in Action
Prioritizing What to Build First
Learning outcomes
Build personas and journey maps from real data, not assumptions
Validate a concept with surveys, interviews and feedback loops
Decide when to pivot, persevere or iterate — and scope the MVP
What you'll build
A validated MVP definition

Personas, journey maps and a concept tested against real feedback before a line of anything gets built.

Career skills gained
Market SegmentationBuyer PersonasJourney MappingSurvey DesignConcept ValidationMVP vs. MMP vs. PoC
04
Module 04

Prioritization & Roadmapping

Decide what comes first and explain why. The prioritization models PMs are expected to know, trade-offs with stakeholders, roadmaps — and how AI features get ranked.

What you'll learn
Prioritization Models for PMs
Prioritization Frameworks for Decision-Making
Introduction to Product Roadmapping
AI for Product Managers
Learning outcomes
Rank a backlog with MoSCoW, Kano, RICE and weighted scoring
Facilitate prioritization conversations under real constraints
Prioritize AI features with a repeatable PM playbook
What you'll build
A prioritized backlog and roadmap

A ranked backlog defended with scoring models, and a roadmap written for each stakeholder group.

Career skills gained
MoSCoWKano ModelRICEWeighted ScoringRoadmappingData-Driven StrategyAI Feature Prioritization
05
Module 05

Product Design & Sprint Planning

Turn the plan into designs and sprints. Design foundations for PMs, interactive prototypes and handoff, then estimation, velocity and honest capacity planning.

What you'll learn
Foundations of Product Design for PMs
Hands-On Prototyping Tools & UX Application
Planning for Product Development
Resource & Capacity Management
Learning outcomes
Take a flow from paper wireframe to interactive prototype
Run backlog grooming, sprint goals, estimation and planning poker
Match scope to team velocity and resolve capacity conflicts
What you'll build
An interactive prototype, planned into sprints

An onboarding flow prototyped and handed off for feedback, then planned against real team capacity.

Tools you'll use
FigmaJiraConfluenceTrello
Career skills gained
WireframingUI/UX PrinciplesFigma PrototypingDesign HandoffEstimationVelocity & Capacity
06
Module 06

Lean Execution & Agile Delivery

Ship in small, measurable increments. Lean principles and validated learning, MVP experiments and controlled rollouts, AI in design thinking, and retrospectives that change what happens next.

What you'll learn
Lean Thinking for PMs
Lean Execution at MVP Stage
Design Thinking for AI-Era Product Managers
Agile Delivery & Retrospectives
Learning outcomes
Design MVP experiments — A/B, fake door and concierge
Roll out safely with feature flags and manage speed against quality
Read Agile metrics and turn retrospective insights into action
What you'll build
A release plan you can defend

An experiment designed, rolled out behind feature flags, and reviewed in a retrospective that produces real actions.

Career skills gained
Build-Measure-LearnValidated LearningMVP ExperimentsFeature FlagsAI-Assisted UXInclusive DesignAgile Metrics
07
Module 07

Engineering Collaboration & Quality

Work credibly with the people who build and test the product. Epics into stories, CI/CD and release strategies, then UAT and the quality risks that come with scale.

What you'll learn
Engineering Execution & PM Oversight
Continuous Development & Delivery
PM Ownership in Testing
Product Readiness for Scale
Learning outcomes
Break epics into stories engineering can act on
Speak fluently about CI/CD, release strategies and rollbacks
Own UAT, regression workflows and test debt as the PM
What you'll build
A release plan you can defend

A release strategy with rollback plan, a UAT plan, and a regression workflow tracked in Jira.

Tools you'll use
Jira
Career skills gained
Epics to StoriesCI/CD for PMsRelease StrategiesTest Cases & UATRegression in JiraPerformance & Scalability
Final project

Launch, Analytics & Capstone

Take the product to market, then lead after launch. Go-to-market and launch readiness, post-launch analytics and feedback loops, ethics and leadership — closing with your capstone presentation and career prep.

MVP Launch & GTM Planning
Feedback Loops & Iterative Improvement
Analytics, Ethics & Leadership
Capstone Project Presentation & Career Readiness

Download the complete module-by-module fellowship breakdown.

Download curriculum
What you’ll have shipped

A portfolio of real AI products,
not just a certificate.

Every month ends with a working AI product you can demo and add to your portfolio. Not slides. Not a tutorial you followed along to.

MONTH1
AI assistant
MONTH2
Automation
MONTH3
AI application
MONTH4
Capstone

An assistant that knows your stuff.

A working AI assistant built on the LLM stack — answering questions over your own content with grounded, cited sources.

Workflows that run without you.

A no-code automation chaining APIs across your real tools — built from your own work or a partner brief, saving hours every week.

A real AI app, deployed.

A full RAG application shipped to production on Vercel — usable software with real UX, not a notebook demo.

A capstone you present live.

An end-to-end AI product taken from discovery to MVP and presented on Demo Day — the centerpiece of a portfolio that gets you hired.

How the fellowship works

Four steps from application to launch

STEP 01

Apply

A short application about your background and what you want to build.

STEP 02

Get selected

We curate each cohort for ambition and fit, not just credentials.

STEP 03

Learn & build

Four months of masterclasses, sprints, and mentor-reviewed projects.

STEP 04

Graduate

Present on Demo Day and leave with a portfolio and career support.

Outcomes & results

Who this is for?

New to Product?Step into roles like Product Manager, AI PM, or Product Owner — with a portfolio of real product work to show.
Already Working?Lead AI product initiatives at your company and become the go-to for AI-driven roadmaps and delivery.
Founder or Freelancer?Ship AI product strategy and prototypes you can offer to clients or your own venture.
I had a really great experience at Syntax Technologies. The bootcamp gave me solid, practical skills and helped me understand what it actually takes to break into the job market. I learned a lot during my time there, and it truly made a difference in my journey. I'm grateful to say I was able to land a job after completing the program. I especially want to thank my mentor, Lyba. She was incredibly supportive from start to finish. She always checked in on me, helped me prepare for interviews, and kept me motivated during a really tough job market. Her encouragement meant a lot, and I honestly don't think I would've handled the process as well without her. Very thankful for the experience overall.
Ahmed KheirAhmed KheirProduct Manager
Fellowship benefits

What you graduate with

A real portfolio

Six shipped products that prove what you can do.

Mentor network

Direct access to practitioners shipping AI today.

A serious community

Peers who push you and collaborate long after.

Career support

Demo Day, intros, and help landing the role.

Certificate

A credential backed by what you actually built.

Lifetime alumni access

Future cohorts, resources, and events — forever.

Your credential

A certificate that proves what you built

Earn an official Syntax Technologies Certificate of Completion.

Issued in your name with a verifiable completion date
Signed by your program lead at Syntax Technologies
Shareable on LinkedIn, your resume, and your portfolio
Syntax Technologies Certificate of Completion
Tuition

One tuition, flexible ways to pay

$4,950one-time
Includes a 15-day money-back guarantee.*Pay the second part, one month’s gross salary, only after you secure a job.
What’s included
Weekly live masterclasses for four months
Small-group mentorship & project reviews
Six guided builds + a capstone product
Demo Day with hiring partners
Lifetime alumni community & resources
Certificate of completion
Why learn with Syntax?

Four reasons professionals choose Syntax

PRODUCT + AI EXPERTS

Learn from product practitioners

Learn from mentors who ship real products with AI — from discovery and PRDs to prototyping, analytics, and launch.

HANDS-ON

Learn by Building

Complete hands-on projects, practical exercises, and real-world assignments that build a portfolio you can show any employer.

INSTRUCTOR LED TRAINING

Support Beyond the Classroom

Get live mentor guidance, Q&A sessions, recordings, and community support throughout your learning journey.

FOUNDED IN 2017

Learn with confidence

We've helped learners build practical technology skills through structured, instructor led programs since 2017.

Common questions

Everything you’re wondering about

No. This program is beginner-friendly and requires no coding. It welcomes professionals from product, design, and business backgrounds alongside engineers.

Yes. You’ll complete a full MVP as your capstone — an end-to-end product you can show any employer.

Absolutely. We start with fundamentals and build up, so first-time PMs and career switchers can follow along and keep pace.

AI tools and workflows are integrated throughout the program — from faster research and stronger PRDs to prototyping and data-backed roadmap decisions.

Around 8–10 hours per week, including live sessions and project work. The rhythm is designed to fit around a full-time job.

Yes — mock interviews, case studies, resume and portfolio help, plus certification, so you’re ready to land the role.

AI Product Management Fellowship
Selective intake · only 8 of 30 seats left