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 survives messy production data, design an agent that does not fall over under load, or explain to their CTO why they picked one architecture over another. This program teaches the second thing — and a real senior engineer, not a model, tells you when you're wrong.
45 days. You build a production AI system, a mentor reads your code every single week and tells you what's actually broken, and you learn to say all of this out loud to the people who sign the checks.
Fifteen minutes, no pitch. If it's not the right fit, I'll 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.
People ask why this costs $1,997 when there's a thousand free YouTube tutorials on RAG and agents.
Because YouTube doesn't read your code.
This program is mentor-led. That means a real senior engineer is on the other end of it, on your schedule, not a cohort's. You get six live 1:1 sessions, and every project you submit gets written feedback from someone who has actually shipped this stuff, not an autograder and not a model telling you your code looks fine.
The curriculum is real. The guest speakers are real. The job leads and the certification path are real. But the reason people finish this program, and the reason it's worth what it costs, is the same reason every time: a person who has shipped production AI systems is personally paying attention to your work.
— Brian, founder of ParsityThe mentor-led AI Engineering Program.
- Full curriculum: RAG from scratch, agent architecture, evals, orchestration
- Six live 1:1 sessions with a senior engineer
- Written feedback on every project you submit
- Interview prep, resume help, and a certification
- Lifetime access to the curriculum and every update after
Do your first session and your first project. If it's not what you wanted, tell me and I'll refund you in full. Put in the work, and if it's not worth it, say so before session two and you get your money back. I do not take people's money and not deliver.
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.
Agentic Engineering 101
Not ready for a mentor-led program? One Saturday, $495, no call needed. You learn how to actually use the AI coding tools you already have instead of guessing. Starts the second Saturday of December.
What everyone else charges
| Cost | Format | |
|---|---|---|
| Parsity mentor-led | $1,997 | Remote, six 1:1 sessions on your schedule |
| Other AI bootcamps | $5,000–$15,000 | Most require relocating to SF or NY |
| CS or AI degree | $20,000–$60,000 | 18–24 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.
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 1:1 sessions with a mentor, and real feedback on your actual code, on the exact stack companies are trying to hire for.
What developers are saying
"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."
"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."
"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)."
"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."
"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."
"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."
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're willing to show up for six sessions and do the reps in between them, not just watch
- 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." All of it human-reviewed, none of it self-graded.
Curriculum & mentorship
- Full curriculum: RAG from scratch, vector databases, agent architecture, LLM observability
- Six live 1:1 sessions with a mentor, paired to your schedule
- Written feedback on every project, including your capstone
- Workshops and guest speakers
- Lifetime access to the curriculum and every update after you finish
Career support
- Interview prep
- Resume help
- Certification, plus a pathway to become Claude certified
- Access to exclusive job opportunities we hear about first. No guarantees, just a head start
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
Is this actually mentor-led, or is "mentor" doing some heavy lifting?
You get six live 1:1 sessions with a senior engineer, paired to your schedule, not a cohort's. Every project you submit gets written feedback from a person who has shipped this stuff in production, not an autograder and not a model telling you your code looks fine. That's what you're actually paying for.
Do I have to get on a call to sign up?
Yes, and it's the one part of this we don't skip. Fifteen minutes, no pitch, just making sure this is actually the right move before either of us spends the time or the money.
I already use Claude or Cursor every day. Is this for me?
Depends how you're using it. If you're pasting code between chats and hoping, reviewing every single line because you don't trust the output, or your team can't agree on what "good" looks like when a model writes the first draft, yes. If you already have a real system and you're shipping clean, this program won't do much for you.
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. The language you use doesn't matter, this isn't about syntax.
Will I turn into a "meat proxy" who just forwards prompts to Claude?
The opposite. The actual skill gap right now isn't typing speed, it's engineering judgment: knowing what's worth building, when to trust the output, and when to throw the whole thing out and start over. That's the entire curriculum.
How is this different from other programs?
Most programs teach you to call an 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, and a human who reads your code every week.
Is this the "exclusive job opportunities" thing an employment guarantee?
No, and be suspicious of anyone who tells you they can guarantee you a job. What you get is a head start: leads through our network before they're posted everywhere else, plus interview prep and resume help so you're actually ready when one lands.
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 out of this program 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.
What if I don't find it valuable?
Do your first session and your first project. If it's not what you wanted, tell me before session two and I'll refund you in full. You have to actually do the work, but that's the only condition. I don't take people's money and not deliver. Contact assistant@parsity.io and we will take care of it.
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.
45 days from now you can be the person your team asks about this.
You already have the hard part. You can build and deploy software. What you're missing is a specific stack companies are hiring for, and six sessions with someone who's actually shipped it.
$1,997. Mentor-led. Starts whenever you're paired.
Money-back guarantee: do your first session, and if it isn't what you wanted, you get a full refund. Questions? assistant@parsity.io
