Now open · Forward Deployed Engineer Bootcamp

Go from software engineer
to forward deployed engineer.

In 7 weeks, learn to work effectively with AI, turn what a customer needs into clear requirements, and deliver a real project for a customer — with live instruction and direct feedback from an industry AI engineer.

StartsNovember 20, 2026
Length7 weeks, the last one is demo day (Mon Jan 4, 2027)
Live classFridays 6–9 PM ET, online, recorded
Your timeAbout 10 hours a week
Price$1,200 USD, tax included. Installments possible
Seats10 engineers, with 1-1 meetings on your project
AI-assisted development Spec-based development RAG AI Agents MCP Customer interviews Requirements gathering Requirements modelling Scoping Customer project Handover Customer demo

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Book a free 15-minute call with the instructor, or get the full details by email.

No commitment. No spam. We reply personally.

Building an agent is not the job. Making it work for the customer is.

6wk
Live + hands-on
1 project
For your customer
1:1
Expert feedback
Forward Deployed Engineer Bootcamp

What we teach.
Three things, in order.

First the tools, then the customer, then a real delivery. Each part is reviewed by an experienced engineer.

01 Weeks 1–2

Use AI effectively

Work with AI as a serious engineering tool, not a chatbot.

  • Spec-based development with AI coding tools
  • Prompts, context and structured output
  • RAG, agents and MCP tool servers
  • Evaluating what the AI produced: tests on real examples, not just a demo
02 Weeks 3–4

Gather, understand and model requirements

Find out what the customer needs, which is rarely what they first ask for.

  • Customer interviews and discovery
  • Turning vague wishes into written requirements
  • Modelling how the work is done today, and what the AI must and must never do
  • Scope and acceptance: what is in, what is out, and how you will test that it works
03 Weeks 5–7

Deliver a real project for a customer

A small project, taken from the first conversation to a working handover.

  • Regular check-ins with your customer
  • Build it with the AI skills from part one, connected to what the customer already uses: data, login, APIs, MCP
  • Test it on the customer's real cases, and check security, privacy and cost
  • Deploy it and hand it over with a runbook (week 6)
  • Demo day (week 7): present it live to your cohort and instructor, and answer their questions
Your customer

Where does the customer come from?

Have your customer lined up by week 3. If you don't have one, we will help you find one.

Option 1

Bring your own

Your employer, a local business, a non-profit, a friend’s shop. Any real person with a real problem that a small AI project can help with.

Option 2

We find you one

Can’t find a customer? Your instructor acts as your customer, or we introduce you to a business owner from our network.

The problem

Most AI courses stop right
before the customer shows up.

01
They teach tools, not customers
You learn RAG and agents on a problem the course invented. Nobody on the other side ever says that is not what I meant.
02
They skip requirements entirely
The brief is handed to you, clean and complete. In a real business, working out what to build is half the job.
03
They treat AI as the product
A customer does not want an agent. They want a task done faster or cheaper, inside the systems they already use.
04
Nothing is ever handed over
Most courses end with a demo. We end with a customer using what you built, and able to keep it running.
If your customer isn't using it, it doesn't count.
Your instructor

An FDE needs three fields.
Your instructor works in all three.

Field 1 · weeks 1–2

AI

Builds and ships production AI systems in industry, daily.

Field 2 · weeks 3–4

Requirements engineering

Finding out, writing down and modelling what a customer actually needs.

Field 3 · weeks 5–6

Software engineering

Teaches software engineering at Queen’s University; 15+ years in industry.

Reza Ahmadi
Reza Ahmadi, Ph.D.
Principal AI Engineer · Professor, Queen's University
✦ Builds and ships production AI systems in industry daily
✦ Background in AI, software engineering and requirements engineering
✦ Trained 200+ professionals across organizations on AI engineering
✦ Professor at Queen's University School of Computing · Ph.D. in Computer Science
✦ Can be your customer for the project if you do not have one
↗ LinkedIn Profile
Is this for you?

Curious and love solving problems?
This is your next step.

The FDE bootcamp is for people who want to be the one who delivers AI to a customer. Python or TypeScript is not a prerequisite, though some programming understanding is very helpful.

What matters most

Curiosity, problem-solving, great communication and the ability to use AI effectively. That's what makes people highly successful here. No ML degree needed.

You want to build

You want to move beyond ChatGPT demos and build something a customer asked for, accepts and uses.

You want proof

Finish with a delivered customer project, the requirements behind it, and a story you can discuss in interviews or with your team.

Week by week

7 weeks. One customer.
Delivered project.

Fri 6:00–9:00 PM ET · Live + 6–8 hrs/wk project work Sessions recorded No coding prerequisite Reviewed every week One customer project
Week
Focus
You work on
You deliver
Part 01 · Use AI effectively
Week 1
AI as an engineering tool
LLM APIs, prompts, context and structured output. Spec-based development with AI coding tools.
A small tool built from a spec
Week 2
RAG and agents
Retrieval over real documents, agents that call tools (including MCP servers), and evaluation to check what the AI produced.
A working agent with an evaluation
Part 02 · Gather, understand and model requirements
Week 3
Discovery
Interview your customer and their users. Map who is involved. Find the real problem behind the request, and how the work is done today.
A one-page problem statement and a map of how the work is done today, which your customer confirms
Week 4
Requirements and modelling
Turn it into requirements you can test: what the system must do, what it must never do, what data it needs, how wrong it can be, and when a person steps in. Define acceptance tests, including how you will check the AI's answers.
A requirements document and acceptance tests, agreed in writing with your customer
Part 03 · Deliver a real project for a customer
Week 5
Build
Build the project with the AI skills from part one. Connect it to the customer's existing systems (data, login, APIs, MCP) and check in with your customer.
A working version in your customer’s hands
Week 6
Deliver · class on Thu Dec 24
Test it on the customer's real cases, review security, privacy and cost, then deploy and hand it over to your customer.
A deployed and tested project, and handover notes with a runbook
Week 7
Demo day · Mon Jan 4, 2027
Present what you built and why: demo it live to the cohort and your instructor, walk through your decisions, and answer questions.
A live demo and the story of your project, ready for your portfolio
FDE Bootcamp · starts November 20, 2026
You've seen the 7 weeks. Ready to deliver?
Why AiBricks

Built for doers,
not spectators.

Every decision made for people who want to deliver real AI projects, not watch intro videos.

Cohort-based learning

You learn with a group, not alone. Accountability, peer reviews, and shared momentum built in.

Graded projects, real feedback

Every project is marked by an expert — not an LLM. Expect detailed, honest critique.

Taught by a practitioner

Your instructor is a CS professor and industry AI engineer. Theory meets real production experience.

No fluff, no filler

Deliberately short curriculum. Only what matters. Every hour spent is an hour that compounds.

Small cohorts only

Small cohorts only. Limited seats so every student gets direct instructor feedback. Real access to the instructor, not just a Slack channel.

Private Discord community

Cohort-only Discord server — ask questions, share progress, and get help between sessions. Active 24/7.

Anthropic API credits included

API credits provided for all coursework — no out-of-pocket API costs. Additional usage beyond assignments at student's expense.

Portfolio on graduation

Leave with one delivered customer project and the story behind it: the requirements, the build and the handover, ready to show employers.

Your instructors and advisors

Learn from people
who ship in production.

Not content creators. People who build and ship AI systems.

Dr. Reza Ahmadi
Reza Ahmadi, PhD
Principal AI Engineer · Professor, Queen's University

With 15+ years of industry experience, Reza works at the intersection of industry and academia — building production AI systems by day, teaching software engineering at Queen's. He has trained 200+ professionals in AI engineering.

LLMs & Agents Production AI MLOps ↗ LinkedIn
Hamid Ghaedi
Hamid Ghaedi
Genomic Data Scientist & Medical Geneticist

Hamid turns genomic and transcriptomic data into real-world insight. He has built machine-learning tools that prioritize mutations for the ClinGen expert variant curation team, and works in single-cell omics, turning single-cell RNA sequencing and multi-omics findings into drug targets.

Machine Learning Genomics Single-cell Omics ↗ LinkedIn
Sajjad Rostami
Sajjad Rostami
Advisor · AiBricks Cohort 01 graduate

Sajjad completed the AiBricks bootcamp in Cohort 01 and went on to build and deploy a complete AI application, a research intelligence assistant. He advises on the student experience: what the program asks of you and how to get the most out of it.

RAG & Agents LangGraph Applied AI ↗ LinkedIn
Sami Riaz
Sami Riaz
AI Engineer in Industry · McGill University Alumni

Sami brings 7 years of professional software engineering experience to AiBricks. Currently working as an AI engineer in industry with a strong foundation from McGill University.

AI Engineering Software Engineering 7 Years Industry ↗ LinkedIn
Pricing

A small cohort.
Serious hands-on work.

7 weeks of live instruction, expert review every week, and a real project delivered to your customer.

FDE BOOTCAMP · OPEN NOW
Full program
$1,200 USD
tax included · pay in full or in installments · limited to 10 engineers
  • ✦ Deliver 1 real project for a customer — from the first interview to the handover
  • ✦ Learn to use AI effectively: spec-based development, RAG, agents, MCP and evaluation
  • ✦ Learn to gather, understand and model requirements with your customer
  • ✦ Learn to deliver it properly: testing on real cases, security, privacy, cost and handover
  • ✦ Get expert feedback every week, in writing and in 1-1 meetings about your project and your questions
  • ✦ Live sessions with Q&A, taught live (not pre-recorded). Each session is recorded and available the day after
  • ✦ Anthropic API credits included — no extra cost for coursework
  • ✦ Private cohort community — peers delivering their own projects in real time
  • ✦ Verified completion certificate you can share on your LinkedIn
✓
Not satisfied after Week 1? Email ask@aibricks.io within 7 days for a full refund — no questions asked.
How enrolling works
  • ✦ Register: tell us a bit about yourself, about 3 minutes
  • ✦ Pay $1,200 USD securely with Stripe, right after
  • ✦ Full refund within 7 days of the first class
  • ✦ Your seat is secured once tuition is paid
Need a payment plan?
You can pay in full or in installments. The last payment has to be made before demo day. Write to ask@aibricks.io before you enroll and we will set it up with you.
Ask a question
FDE Bootcamp · starts November 20, 2026 · 7 weeks · Tuition $1,200 USD
What people say

Agentic AI Cohort 01
built real things.

The FDE bootcamp is new. These are graduates of our Agentic AI Bootcamp, taught by the same instructor, on the hands-on work, code review and feedback.

Sajjad Rostami — AiBricks Cohort 01 graduate
Sajjad Rostami
Cohort 01 graduate · June 1, 2026
★★★★★ Trustpilot · Unprompted
A Well-Structured Bootcamp for Applied AI

"I had a positive experience with the AiBricks bootcamp. The program covered prompt and context engineering, spec-based development, RAG, agent memory, tool calling, MCP, AI agents, and multi-agent orchestration. I gained a real hands-on experience with Python, LangChain, LangGraph, LangSmith, ChromaDB, RAGAS, DeepEval, FastAPI, and Railway deployment. I also had several one-on-one meetings with Reza after each sessions, where he reviewed my progress, answered questions, and provided practical feedback on my project. The bootcamp helped me build and deploy a complete AI application that I can present in my professional portfolio."

✓ Read on Trustpilot LinkedIn ↗ Capstone
Linda Laura Nzeukang Ngouekam — AiBricks Cohort 01 graduate
Linda Laura Nzeukang Ngouekam
Cohort 01 graduate · August 2026
★★★★★ Trustpilot · Unprompted
Practical and Well-Structured Agentic AI Training

"I had a very positive experience with the AiBricks Agentic AI Bootcamp. The course was well structured, practical, and focused on the tools and design patterns used to build modern AI applications. The program covered prompt engineering, RAG, memory systems, MCP, LangGraph, CrewAI, LangSmith, DeepEval, RAGAS, observability, evaluation, guardrails, and production-oriented AI architecture. Reza was knowledgeable, supportive, and genuinely invested in helping participants succeed. He explained complex topics clearly, encouraged hands-on learning, and was available to provide guidance when challenges came up. I would recommend the AiBricks Agentic AI Bootcamp to software engineers and technology professionals who want practical exposure to Agentic AI and a better understanding of how enterprise AI systems are designed, evaluated, and deployed."

✓ Read on Trustpilot Trustpilot Profile
Samira Malekpour — AiBricks review
Samira Malekpour
June 10, 2026
★★★★★ Trustpilot · Unprompted
My Aibricks experience

"This course was a truly valuable experience for me and helped me develop a much clearer and more practical understanding of the world of AI Agents. From the fundamentals and agent architectures to RAG, Memory, MCP, LangSmith, and Multi-Agent Systems, the course was designed not only to introduce us to these concepts but also to give us the opportunity to actually work with the tools and gain hands-on experience. One of the biggest strengths of the course, in my opinion, was Reza himself — by combining his academic background with real-world industry experience, he created an environment where learning and experimenting felt accessible and genuinely enjoyable…"

✓ Read on Trustpilot LinkedIn
Ali Alizadeh — AiBricks review
Ali Alizadeh
July 9, 2026
★★★★★ Trustpilot · Verified
AI agents course

"I really enjoyed the Aibricks course. It was well organized, practical, and a great jump start into AI and AI agents. Reza was very supportive throughout and went above and beyond to explain things clearly and help everyone follow along. Overall, a very useful and enjoyable learning experience, highly recommended."

✓ Read on Trustpilot LinkedIn
MS
Mary Shah
June 12, 2026
★★★★★ Trustpilot · Verified
Great bootcamp, easy to start building

"This was a modern bootcamp with very cool labs. We were given a sandbox with every library and tool ready to start building. Teacher is caring and patient."

✓ Read on Trustpilot

"Even I was able to run the AI analysis today — and I'm not technical at all. I love it! Thanks Reza for the knowledge transfer."

— Rena · Engineer

"I'm finding the tool we made during the session more useful than Kiro for initial investigations right now. Hats off Reza for however you did that. I'd love to get a deeper understanding of how it works."

— James · Engineer

"Obviously cares a lot about the course. Quick to respond to questions. Assignments are well-written and unambiguous. The course is not very stressful."

— Software Engineering Student at Queen's University

"Great instructor — cares very much about the content. Well organized. Interesting material."

— Software Engineering Student at Queen's University

"Super helpful content, presented in a clear manner."

— Software Engineering Student at Queen's University
Also from AiBricks
Agentic AI Bootcamp Cohort 02 coming soon

The deep technical track: RAG, agents, MCP, multi-agent systems, evaluation and deployment. Not open for applications right now.

FAQ

Common questions.

What is a forward deployed engineer?
An engineer who works directly with a customer: finds out what they need, builds the AI solution, and gets it working inside their business. The role combines AI engineering, requirements work and delivery.
Who is this for?
Anyone who wants to be the person who delivers AI to a customer. What we look for is curiosity, problem-solving, great communication and the ability to use AI effectively: that's what makes people highly successful in the bootcamp. You do not need to have built RAG or agents before: weeks 1 and 2 cover that.
Do I need to know Python or TypeScript?
No, it's not a prerequisite. Some programming understanding is very helpful, but curiosity, problem-solving, great communication and the ability to use AI effectively matter more.
Will this get me a job as a forward deployed engineer?
We don't promise jobs, salaries or placement. Forward deployed roles at the large AI labs usually ask for several years of experience. This bootcamp builds the skills and the proof that move you toward that work: a delivered customer project and the written story behind it. That is useful at startups, consultancies and AI teams inside companies, and as your experience grows, at the labs.
Do I need to find my own customer?
Bring one if you can — your employer, a local business, a non-profit. If you can't, your instructor acts as your customer, or we introduce you to a business owner from our network.
How big is the customer project?
Small on purpose: something you can scope in weeks 3 and 4, then build and hand over in weeks 5 and 6. A narrow tool that a real person uses beats a big system nobody does.
How much time does it take each week?
About 10 hours a week in total: one 3-hour live session on Friday evening (6:00–9:00 PM ET), plus about 6–8 hours of project work, which is building and working with your customer. Over the first 6 weeks that is 18 hours of live teaching, and week 7 is demo day. You also have 1-1 meetings with an instructor to work on your project and to ask questions. In weeks 3 to 6 the pace depends on your customer, so book your check-ins early.
What's included?
Claude API credits for all coursework, Claude Code access, and a preconfigured cloud workspace — zero local setup, so you start building on day one. Plus weekly live sessions, 1-1 meetings about your project, expert feedback every week, session recordings, and a completion certificate.
What if I'm not satisfied?
Full refund if you email ask@aibricks.io within 7 days of the Week 1 session. No forms, no explanations required. We've made this easy on purpose — we want serious learners, not reluctant ones.
What if I miss a live session?
The sessions are taught live, not pre-recorded. Every session is recorded, and the recording is available the day after the live session. You won't fall behind.
Do I need a machine learning background?
No. You'll learn to build systems that use AI, not train models.
Is there a payment plan?
Tuition is a flat $1,200 USD, including tax. You can pay it in full or in installments, but the last payment has to be made before demo day. To set up installments, write to ask@aibricks.io before you enroll.
Do I get a certificate?
Yes. Students who complete the bootcamp, including the customer project, receive a verifiable AiBricks certificate they can share on LinkedIn.
Is payment handled securely?
Yes. All payments are processed via Stripe — we never see or store your card details. You'll receive a Stripe receipt immediately after payment.
Can I show my project to employers?
Yes — that's the point. You leave with a delivered project and the story behind it: the requirements, the build and the handover. What you can publish from the customer's side is agreed with your customer.
What is demo day?
In week 6 you deploy your project and hand it over to your customer (that week's class is on Thursday, December 24, 6:00–9:00 PM ET, instead of Christmas Day). Demo day is in week 7, on Monday, January 4, 2027, 6:00–9:00 PM ET: you demo the project live to the cohort and your instructor, explain how you built it and why, and answer questions.
What happened to the Agentic AI Bootcamp?
It is still here. Cohort 01 is complete and the next cohort is coming soon; applications are closed for now. See the Agentic AI curriculum →

Ready to deliver your first real AI project?

Small live cohort. A customer project. Expert feedback. Registration is open for the Forward Deployed Engineer Bootcamp.

Apply Agent