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AI Engineering Sprint | Parsity
Self-paced Β· Start whenever you want Β· Paired with a senior mentor
AI Engineering // Press Start

Become an AI engineer in 45 days

Most developers have called an OpenAI API and built a demo. Very few can build a RAG pipeline that works on messy production data, design an agent that does not fall apart under load, or explain to their CTO why they chose one over the other. This program teaches the second thing.

45 days. You build real AI systems, a senior mentor keeps you accountable, and you learn to explain your architecture out loud to people who sign the checks.

Self-paced. Start whenever you want, paired with a senior mentor for accountability.

Short call, 15 minutes. Not a sales pitch. I have done about 1,000 of these over the last 5 years, and if it is not the right fit I will tell you.

Got questions? See how it works

Curious what "AI engineer" actually means day to day? We walk through the exact path, step by step: RAG, production agents, evals, and observability.

NOW PLAYING · HOW-IT-WORKS.MP4
Brian, founder of Parsity

We're all working software developers. Many of us have families, and live classes at a fixed hour do not fit everyone's life.

So the program is self-paced from here on.

I'm making changes to the self-paced program, including personal mentors, so everyone feels the pressure to succeed. You move at your own speed, paired with a senior mentor for accountability.

— Brian, founder of Parsity
Apply

Apply for self-paced.

Self-Paced
$1,997
One time.
  • Lifetime curriculum access, start whenever you want
  • 6 sessions with a senior mentor
  • Weekly assignments, including videos that force your understanding
  • Capstone project: build and deploy a full-stack AI app with RAG, agents, evals and observability
  • Weekly office hours and monthly guest speakers
  • 6 months of support, including Slack access
  • A path to become Claude certified (the exam is about $200 extra)
  • Interview prep and help positioning yourself at your company, from me
  • Pay in 1, 2 or 3 payments
Apply for self-paced
No payment to apply.
Rather talk first? Book a call with Brian.

Your employer can probably pay for this. We provide invoices and a training budget request template. A lot of students go this route and it works.

Outside the US? We do purchasing power parity pricing. Email assistant@parsity.io and we will sort it out.

The scoreboard

What everyone else charges

CostFormat
Parsity self-paced$1,997Remote, start anytime
Other AI bootcamps$5,000–$15,000Most require relocating to SF or NY
CS or AI degree$20,000–$60,00018–24 months

We are not cheaper because we cut the curriculum. We are cheaper because there is no campus, no admissions department, and no sales floor. The money goes to engineers who review your code.

Want to see the whole thing first?

Every project, every technology, week by week. I will send it to your inbox and then leave you alone unless you want to hear from me.

No spam. Unsubscribe whenever.

Level up

The skills gap

There's a massive difference between using AI tools and building AI systems. Most developers are stuck on the wrong side of that line.

They've experimented with ChatGPT. Called an API. Maybe built a demo. But companies increasingly need developers who can implement production AI systems: RAG pipelines, agent architectures, LLM orchestration, and observability.

RAG and AI agents are becoming foundational engineering skills. The engineers who can build these systems are the ones companies cannot find.

Companies are not short of applicants for these roles. They are short of engineers who have actually built these systems, which is why the listings sit open for months.

The fix: six focused weeks on the exact stack companies are trying to hire for.

Short call, 15 minutes. Not a sales pitch. I have done about 1,000 of these over the last 5 years, and if it is not the right fit I will tell you.

Achievement unlocked

What developers are saying

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"This course has taken me from wondering how working with RAG, agents, and LLMs work, to now building these things myself, with the understanding of exactly what's happening. It has really empowered me to learn by building things."

Joenow leading the AI initiative at his company
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"Brian's course cut through so much of the AI hype fog for me. Not only did he do an amazing job scaffolding AI literacy onto my full-stack background in general, he provided super practical pathways into implementing AI within very real world circumstances. This is one of those courses that'll keep on giving for me."

Chrisfull-stack developer now shipping AI features at work
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"The course was brief but jam-packed with so much information. Brian has a great teaching style that keeps you engaged and encourages discussion. The course flew by, but I feel very empowered to build my own AI apps with RAG (and be able to explain how it works)."

Sydneybuilding her own RAG applications
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"I truly enjoyed my time in this course. It was a privilege to get to learn from Brian and from the other students. I loved the hands-on experience we gained building robust RAG pipelines. I highly recommend this course to anyone who wants to grow in their skills with AI development."

Johnathonnow working as an AI integrations specialist
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"I thought I had a solid understanding of AI and LLMs going into Parsity's program, but finishing it made me realize I was only scratching the surface. Getting a hands-on walkthrough of how these systems actually work and going beyond prompting was a complete game changer."

Seanwent from prompting to building production systems
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"This was my first bootcamp after almost 10 years in the industry and I have to say that it exceeded my expectations. I now have the confidence and skills to go out into the world and build awesome agentic RAG apps."

A.F.10 year veteran developer, now shipping agentic RAG
LinkedIn post by Johnathon Bowers, AI Integrations Specialist, on the Parsity AI Developer bootcamp.
Slack message from Joseph Letner about shipping an AI capstone project at work.

Watch him actually teach this

Real videos from Brian's YouTube channel (10,400+ subscribers) — not a highlight reel, the actual RAG/agent teaching.

Is this right for you?

This program positions you for roles like AI Engineer, Applied AI Engineer, LLM Engineer, and AI Product Engineer. But it requires serious commitment.

This is for you if:

  • You're a working developer who can already build and deploy apps
  • You want to command the compensation premium that AI implementation skills are earning
  • You want a real AI system in your portfolio, not another passive tutorial
  • You want production AI projects that demonstrate genuine engineering capability

This is not for you if:

  • You haven't built a full-stack app before
  • You want a certificate without doing the projects
  • You're not willing to record yourself explaining your work out loud

What's included

Everything you need to go from "I've experimented with AI" to "I can build and ship production AI systems."

Both tiers get:

  • Full curriculum. RAG from scratch, vector databases, agent architecture, LLM observability
  • A senior mentor for accountability, with 6 sessions
  • Weekly assignments, including videos that force your understanding
  • Capstone project: a full-stack AI app with RAG, agents, evals and observability
  • Interview prep and help positioning yourself at your company, from me
  • Weekly office hours, monthly guest speakers, and 6 months of Slack support

Communicating to leadership

Every week you record yourself explaining what you built, as if you were presenting to a non-technical CTO. Then you get notes on it.

Every developer who has landed an AI lead role out of this program says the same thing: being able to walk leadership through their decisions, without making anyone feel stupid, was the difference. Nobody else trains this. We do.

Frequently asked questions

Do I have to get on a call to sign up?

No. The price is on this page and you can apply right now. If you want to talk to me first, book a call. Most people who join do talk to me first, but that is because they want to, not because I make them.

What level do I need to be?

Any level, junior to senior. You need to be able to build and deploy apps. You don't need AI experience. You'll have it when you're done.

How is this different from other programs?

Most programs teach you to call OpenAI's API and call it AI engineering. We teach the architecture companies are actually hiring for: RAG from scratch, agent systems, LLM orchestration, vector databases, production patterns.

How much time does this take?

Plan on 2 to 10 hours a week for 45 days, with most of the work during your capstone project. It is self-paced, so you fit it around your job. The people who get the most out of it treat the 45 days like a project with a deadline. You finish with a full-stack AI app you built and deployed, a senior mentor in your corner, and interview prep from me.

Why the communication module?

Engineers who can build and communicate are worth far more than engineers who can only build. Every developer who's landed an AI lead role says the same thing: being able to explain their work to leadership was the difference. Nobody else trains this. We do.

Can my employer pay for this?

Yes. We provide invoices and training budget request templates. Many companies have L&D budgets specifically for upskilling engineers.

I'm outside the US, is pricing adjusted?

Yes. We offer purchasing power parity pricing for international students. If you're in a country with different economic conditions, reach out to assistant@parsity.io and we'll work with you.

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Ready player one

45 days from now you can be the person your team asks about this.

β–Ά β–Ά β–Ά PRESS START β—€ β—€ β—€

You already have the hard part. You can build and deploy software. What you are missing is a specific stack that companies are hiring for and cannot fill.

Self-paced starts whenever you want.

Want to talk first? The call is 15 minutes and 100% not a sales pitch. I have done about 1,000 of these over the last 5 years. Questions? assistant@parsity.io

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