Cohort 01 — Starts May 1, 2026

Build real AI.
Engineer the future.

Hands-on bootcamps for developers ready to go beyond tutorials. Ship projects. Get expert feedback. Join a cohort of serious builders.

5wk
Intensive bootcamp
4+
Real-world projects
1:1
Expert feedback
How it works

From zero to deployed —
in 5 weeks.

No fluff, no passive watching. You build, you ship, you get reviewed.

01
✦

Register & join your cohort

Apply, get accepted, and meet your cohort of 15–20 serious AI builders.

02
✦

Learn through live sessions

Weekly live classes taught by your instructor — a working AI engineer and CS professor.

03
✦

Deliver real projects

Each module ends with a graded project. Build RAG apps, agents, and full pipelines.

04
✦

Get expert feedback

Detailed code review and written feedback on every submission. No auto-graders.

Course syllabus

5 weeks. Real skills.
Shipped projects.

One 2-hour live session per week — lecture + demo on Thursdays 7–9 PM ET. Lab completed async, graded project submitted before the next session.

AI Engineering Bootcamp — Cohort 01

5 weeks Live online Starts May 1 Thu 7–9 PM ET Sessions recorded Labs ~3–4 hrs Python or TS required ↓ Download Syllabus
—
Kickoff — Onboarding & Dev Environment Setup
Tools, repos, API keys, Python environment, first LLM call
Live session
W1
Week 1 — LLMs, APIs & Prompt Engineering
How LLMs work · calling OpenAI / Anthropic APIs · prompt design · structured outputs
Core
1.1
Lecture — How LLMs actually work
Tokens, context windows, temperature, system prompts, model families
Lecture
1.2
Lab — Build a prompt-powered CLI tool
Chain prompts, handle structured JSON output, basic error handling
Lab
W2
Week 2 — RAG: Retrieval-Augmented Generation
Embeddings · vector databases · chunking strategies · retrieval pipelines
Project week
2.1
Lecture — How RAG works end-to-end
Embeddings, semantic search, ChromaDB / Pinecone, chunking tradeoffs
Lecture
2.2
Lab + Project — Build a RAG app over your own documents
Ingest PDFs → embed → store → retrieve → answer. Graded submission.
Project
W3
Week 3 — AI Agents, MCP & Agentic IDEs
Agentic loops · function calling · Model Context Protocol · Kiro · hooks · spec-based development
Project week
3.1
Lecture — Agents, tool calling & MCP
ReAct loops, function/tool calling, what MCP is and why it matters, connecting MCP servers
Lecture
3.2
Demo — Kiro: spec-driven dev, hooks & MCP wiring
Live instructor demo of Kiro IDE · spec-based development · hooks · connecting MCP servers in an agentic IDE
Lecture
3.3
Lab + Project — Build an agent with real tools via MCP
Wire up an agent to external tools using MCP. Graded submission. Optional: explore further in Kiro using your 500-credit free trial.
Project
W4
Week 4 — End-to-End AI Applications
LangChain / LangGraph · orchestration · evaluation · cost & reliability
Core
4.1
Lecture — Building production-grade AI apps
LangGraph workflows, evals, observability, cost control, multi-tenant architecture
Lecture
4.2
Lab — Assemble a full AI application
Combine RAG + agent + MCP tools into one working app with evals
Lab
W5
Week 5 — Ship It: Deployment & Demo Day
Deploy to Railway / Render · monitoring · capstone presentation
Capstone
5.1
Lecture — Deploying AI apps to production
Containerisation, Railway/Render deployment, API wrapping, logging, cost monitoring
Lecture
5.2
Capstone Demo Day — Live presentation to the mentors
Present your shipped app. Get detailed expert feedback. Build your portfolio.
Project
+
Also included with every cohort
Weekly Q&A with mentors · TA office hours · guest tech talks · career & LinkedIn session · private Discord community
Included
↓ Download full curriculum (PDF) →
Why AiBricks

Different by design.

Every decision made for serious learners, not passive consumers.

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

Max 100 students per cohort. 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 lab work — no out-of-pocket API costs for coursework. Additional usage beyond labs at student's expense.

Portfolio on graduation

Leave with 4+ shipped projects — RAG apps, agents, deployed APIs — ready to show employers.

Your instructors

Learn from people
who ship in production.

Not content creators. Working AI engineers with real industry experience.

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
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

One cohort. Two options.
Zero fluff.

Cohort 01 is priced to get serious people in the room. Price increases for Cohort 02.

✓
Not satisfied after Week 1? Full refund — no questions asked.
Email us within 7 days of the first session. We'll refund your payment in full.
COHORT 01 PRICE
Early access
$1,097 USD
one-time · limited seats · all sessions recorded
Regular price $1,997 USD
  • ✦ 5 weeks of live instruction
  • ✦ 3 graded projects + capstone
  • ✦ Expert feedback on every submission
  • ✦ Weekly Q&A with mentors
  • ✦ TA office hours
  • ✦ Guest tech talks
  • ✦ Portfolio of shipped AI projects
  • ✦ Anthropic API credits included for labs
  • ✦ Private Discord community
Payment plan
$365
USD × 3 months
$1,095 USD total · split over 3 months
Same full access. First payment due at enrollment. Remaining two payments billed monthly. No hidden fees.
  • ✦ Everything in the full plan
  • ✦ Split into 3 monthly payments
  • ✦ No interest, no penalty
Cohort 01 — max 100 students · 5 spots taken · Regular price $1,997 USD from Cohort 02 onwards
What people say

What people say.

Anonymous feedback from Queen's University students, and direct feedback from industry professionals after sessions with Reza.

"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."

— Lisa · 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
FAQ

Common questions.

Who is this for?
Developers who know Python or TypeScript basics and are comfortable in a terminal. You don't need a machine learning background, web dev experience, or prior AI engineering experience — just the motivation to ship real projects. Time commitment is 2 hrs live on Thursdays 7–9 PM ET plus 3–4 hrs of async lab work per week. All sessions are recorded.
What if I'm not satisfied?
Full refund if you email us 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?
Every session is recorded and shared with the cohort within 24 hours. You won't fall behind. Labs are async and due before the next session.
Do I need a machine learning background?
No. This is an AI Engineering bootcamp — you'll learn to build systems that use AI, not train models. Python or TypeScript basics are all you need to start.
How does the payment plan work?
First payment ($365 USD) is due at enrollment and gives you immediate full access. Payments 2 and 3 are billed automatically each month via Stripe. All 3 payments are committed at enrollment — this is a structured plan, not a subscription you can cancel.
Do I get a certificate?
Yes. Students who complete all projects receive an AiBricks AI Engineering certificate. Cohort 01 graduates will also receive a Credly digital badge suitable for 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.

Ready to build seriously?

Cohort 01 is forming now. 95 spots remaining out of 100.