From first principles · in Bangla and English
Let's build your ownYOU.
Backend, DevOps and system design, plus DSA practice explained from first principles, in Bangla and English, with code you can run.
- learners on the path
- books + projects
- 5 + 23
- diagrams + videos
- 288 + video soon
Courses
Everything in order, one course at a time
Start anywhere. Part 1 of every course is free.
- 01Part 1 free
AI & LLM Engineering
Learn how AI systems work inside, then build ones you can trust in production: the maths, machine learning, deep learning, transformers, RAG, harnesses, agents, evals, fine-tuning, MLOps and security. Every part ends with two projects you build yourself. Code in Python, NumPy and PyTorch, with Go where it fits.
11 parts · 92 chapters · 182–280 h
- 01Mathematics for AI10–16 h
- 02Machine Learning14–23 h
- 03Deep Learning15–22 h
+ 8 more parts
Open course - 02Part 1 free
Backend First Principles
Understand the problem before the solution, and the machine before the abstraction. Ten modules that take you from why a backend exists to running one in production.
10 parts · 153 chapters · 154–191 h
- 01The Backend Mindset10–13 h
- 02How Machines Communicate15–19 h
- 03The Language of the Web15–19 h
+ 7 more parts
Open course - 03Part 1 free
System Design
Learn to design software the way engineers do, in four parts: Low Level Design and its problems, then High Level Design and its problems. Concepts first, then you practise each one on a real problem. Code in Go first, with TypeScript, Rust, Python, Java and C++ alongside.
5 parts · 80 chapters · 89–129 h
- 01Low Level Design21–34 h
- 02LLD Problems9–15 h
- 03High Level Design29–43 h
+ 2 more parts
Open course
- 04Part 1 free
DevOps & Cloud
What happens underneath docker run, kubectl apply, terraform apply and a push to main. Short lessons on one shop app, broken systems to fix, real output from a free local lab, and two projects: a container runtime you write in Go, and a production-grade delivery platform.
13 parts · 121 chapters · 51–70 h
- 01Linux Foundations for DevOps9–13 h
- 02Networking for Infrastructure1 h
- 03Containers from First Principles11–16 h
+ 10 more parts
Open course - 05Part 1 free
Database Internals
What really happens inside a database when you run a query, write a row, add an index, replicate or shard. Short lessons on one shop dataset, real PostgreSQL output from a lab you run yourself, and two engines you build in Go: TinyDB, a storage and query engine, and ShardKV, a replicated, sharded key-value store.
14 parts · 123 chapters · 71–101 h
- 01How a Database Thinks1 h
- 02Storage Engine Fundamentals5–7 h
- 03Indexing3–4 h
+ 11 more parts
Open course
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