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 Lab async
—
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
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 instructor

Learn from someone
who ships in production.

Not a content creator. A working AI engineer who also teaches at university level.

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

Reza works at the intersection of industry and academia — building and deploying production AI systems by day, and teaching software engineering at Queen's University. Every lesson in AiBricks comes directly from real engineering decisions, not textbook theory.

He has trained 200+ professionals in AI engineering tooling and technologies in industry.

LLMs & Agents Production AI Systems Software Engineering MLOps ↗ LinkedIn
Pricing

One cohort. Two options.
Zero fluff.

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

COHORT 01 PRICE
Early access
$1,497
one-time · limited seats
Regular price $1,497
  • ✦ 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
$500
× 3 months
$1,500 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 from Cohort 02 onwards

Ready to build seriously?

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