Building features without understanding system design is like adding floors to a building without knowing its foundation. The code may work in isolation, but the first production spike can expose its structural weaknesses. In real-world systems, scale is inevitable. Traffic grows, data volumes explode, services multiply, and assumptions made for a single-server setup break down under distributed load. Mature engineering teams do not bolt on scalability after the fact; they make deliberate architecture decisions from the start.
This course provides a practical and production-focused guide to system design, drawing from real patterns used in a legal AI platform that processes millions of Indian court documents across a polyglot microservices stack. It is designed to build on Group 1 foundations while complementing the other Group 2 deep-dives (Scalable APIs, DB Design, Caching, Performance).
This course guides you through the process of creating and publishing courses on Openverse. You’ll learn how to structure your content, organize modules and lessons, and use the platform’s features to design engaging and effective learning experiences.
From setting up your course and adding materials to managing assessments, media, and learner interactions, the course covers each step in a simple, practical way. It also highlights best practices for course design to ensure your content is clear, structured, and learner-friendly.
By the end of this course, you’ll be able to confidently build, customize, and publish your own course on Openverse, ready to deliver a seamless learning experience.
In this course you will learn about simple and complex Linux commands, combining them, building Bash scripts, etc. It will be hands-on, where the teacher will show first how to use different commands and the participants will try them themselves. Each participant is going to have an account on the training server.