Build AI-first products. Ship real work. A live bootcamp 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
September 15, 2026
Duration4 months
FormatHybrid · live + self-paced
Live sessionsTue & Thu · 6–8pm ET
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
Scroll through the program chapter by chapter — or jump to any module from the list.
01
Module 01
AI Foundations
Build the mental models that make every later module click — how modern AI works, what it can and can’t do, and how to think in prompts, context, and capabilities.
What you'll learn
How LLMs really work — tokens, context, and limits
Prompt-engineering patterns that get reliable output
Designing a simple AI workflow around a real task
Spotting hallucinations and judging output quality
Learning outcomes
Reason clearly about what AI can and can’t do
Write prompts that produce reliable output
Judge and improve AI output quality
What you'll build
Your first AI assistant
Ship a working assistant that answers questions over your own content.
Go from scripts to real applications. Design, build, and ship an AI-powered product with a real interface and real users.
What you'll learn
Architecting an AI app front to back
Retrieval-augmented generation (RAG) over your data
Building a usable interface for non-technical users
Deploying to a live, shareable URL
Learning outcomes
Architect an AI app front to back
Ground answers in your data with RAG
Deploy to a live, shareable URL
What you'll build
A full AI application
A deployed, usable AI app — not a notebook demo.
Tools you'll use
Next.jsOpenAI APIPineconeVercel
Career skills gained
App ArchitectureRAGUX for AIDeployment
Final project
Capstone & Career Launch
Conceive and build your flagship product end-to-end with weekly mentor reviews, then package it into a portfolio and present on Demo Day with full career support.
Scoping and building a flagship product end-to-end
Defining metrics and a real quality bar
Packaging your work into a standout portfolio
Demo Day, interview prep, and positioning for AI roles
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.
After securing a QA Engineer position at a renowned company I wish to extend my sincere thanks for the exceptional support provided. Syntax team’s collective guidance and mentorship have been instrumental in this achievement. The past month’s mentoring and motivational talks have been as crucial as the technical training received. I am eager to apply this knowledge in my new role and continue to support our learning community.
Ali BouarfaQuality Assurance Engineer at Universal Orlando
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
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.
ChatGPT
Claude
Gemini
Hugging Face
