Learn · Build · Evaluate · Succeed | Founding cohort now open
Self-paced tracks built around real job descriptions — Generative AI Developer, Architect and Product Manager — with evaluation, interview practice and resume fit built into every path, not bolted on after.
How a NeuronRoots path works
Developer, Architect or PM — matched to where you're headed, not a generic syllabus.
Every module ends in a scored task, not a passive quiz.
Paste a live job posting — get a mock interview and a rewritten resume for it.
A completion path with a skill-gap report, not just a certificate.
See it before you enroll
A short walkthrough of how a lesson, evaluation and JD-matched practice actually fit together — not a marketing reel.
Watch the introBuilt for how people actually get hired
Every module closes with a scored task — a prompt to fix, an architecture to review, a decision to defend — so progress reflects real skill, not video completion.
Paste in a live posting for the role you want. Get a mock interview built around it and a resume rewrite that speaks its language.
No fixed cohort times, no timezone lock-in. Structured enough to keep momentum, flexible enough to fit around a full-time job.
Courses are written from real GenAI architecture and delivery work, updated as the field itself moves — not a syllabus frozen in 2023.
Choose your path
Generative AI hiring has split into distinct specializations — pick the one closest to where you already are, and where you want to be in six months.
COMING TO THE CATALOG
Built in the order the hiring market is actually moving — these open next.
Running and monitoring AI systems in production — observability, incident response, cost management.
Building the internal tooling and infrastructure that AI teams build on top of.
Designing the shared AI platform layer multiple product teams build against.
Embedding with customers to adapt and ship AI systems against their real workflows.
Short-form AI fluency courses for leaders directing AI strategy without building it themselves.
Want to know when a track opens?
Get notifiedInside every track
Generative AI is a stack of specific, searchable skills — not one vague subject. Here's exactly what's covered, mapped to what employers are asking for right now.
Writing, testing and versioning prompts that hold up in production — the foundation skill behind every GenAI Developer role.
Connecting LLMs to real data with vector databases and retrieval pipelines — one of the most in-demand GenAI skills in 2026 job postings.
Building and coordinating multi-agent systems that can plan, use tools, and complete multi-step tasks.
Measuring output quality, catching failure modes, and putting safety guardrails around production AI systems.
Choosing between models, frameworks, and hosting tradeoffs — a core Generative AI Architect skill.
Scoping what an AI-native product should do, and how to measure success in a probabilistic system — the core of the Generative AI PM track.
Security, cost control, and governance practices required to run GenAI systems at enterprise scale.
Lightweight adaptation techniques for tailoring a base model to a specific use case without full retraining.
Working across engineering, design and business to ship AI features — the skill that separates an AI PM from a general PM.
Why this instead of the usual options
| Free YouTube tutorials | Generic MOOC course | ₹2L+ bootcamp | NeuronRoots | |
|---|---|---|---|---|
| Built around a specific job role | No | Rarely | Sometimes | Yes — 3 role tracks |
| Every module ends in a scored build | No | Quizzes only | Yes | Yes |
| Interview prep against a real JD | No | No | Generic mock interviews | Yes — paste any posting |
| Resume rewritten for the target role | No | No | Sometimes | Yes |
| Fits around a full-time job | Yes | Yes | Fixed live schedule | Yes — self-paced |
| Curriculum from shipped production systems | Varies | Academic | Varies | Yes — built by a practitioner |
For organizations
Whether it's a corporate cohort, a college department, or a state skilling program — the same role-based curriculum, packaged for how your organization actually buys training.
Role-based cohort contracts, not per-seat licensing.
White-labeled under your institution's own brand.
A ready-made curriculum partner for upskilling missions.
Get in touch
Share a few details and we'll come back with a scoped proposal for your cohort, department, or program.
Founding cohort
Founding learners get lifetime access to their track, a direct feedback line to the course author, and every future module added to that track at no extra cost. When the 100 seats are gone, this offer closes.
Program fees
A student, a working professional, and a corporate cohort get different value from the same track — so your fee is scoped to what you're trying to achieve, not a one-size number. Tell us your goal and we'll get back with your program fee.
Every track opens with one free module first — no card, no form, no commitment. See the format before you talk pricing at all.
Try the free moduleA two-minute form — we'll follow up with pricing scoped to you.
Common questions
Yes — no fixed start dates or live sessions required. Structured milestones help you keep momentum, but you set your own schedule.
Every track opens with one free module, no card required, so you can see the format before committing.
Yes — the platform and content are built for a global audience, with pricing shown in your local currency at checkout.
See the Team & Institution tier above, or use the contact form under For Teams to request a scoped proposal.
Real progress, not stock photos
An early platform, so this section will keep growing — here's what's true today, shown honestly rather than dressed up.
What a module looks like, how the evaluation works, and how the JD-matched interview prep fits in — narrated plainly, no hype cuts.
Video stories from learners who completed a track. Text stories below.
"The JD-matched mock interview was the part that actually changed my prep — I walked in already knowing the vocabulary they wanted."
Generative AI Developer track
"Most AI courses stop at explaining concepts. This one made me defend architecture decisions until I actually understood the tradeoffs."
Generative AI Architect track
"I liked that it didn't assume I already knew the AI vocabulary — the PM track built it up from how I already think about products."
Generative AI Product Manager track
"Self-paced actually meant self-paced — I finished around a full-time job without falling behind a cohort schedule."
Generative AI Developer track
First module is free to try in every track — no card required.
Start free