JavaScript in depth

The language under the libraries. Closures, the event loop, prototypes, modules, and how the engine actually schedules work. Labs will read like the React ones: a broken first try, then the model that explains the bug.

What you will learn

  • Scope, closures, and the temporal dead zone
  • this, prototypes, and class sugar
  • Event loop, microtasks, and backpressure
  • Iterators, generators, and async/await
  • Modules, bundlers, and the module graph
  • Memory, references, and accidental leaks

How it works

Labs will read like the React ones: a broken first try, then the model that explains the bug.

More courses

  • Jobs, linked to lessons — Browse jobs where every requirement links to the chapter that teaches it. See how ready you are, how long the gap takes to close, and which listings look stale.
  • Match a job post to courses — Paste a job post. Each skill is matched to a track here and put in learning order, foundations first.
  • React from open source with patterns — Patterns extracted from Material UI, Radix, React Aria, React Hook Form, Redux Toolkit, TanStack, and Next.js — not slides about hooks.
  • Database in depth — How a query becomes work. Indexes, isolation, locks, and the plans that explain why a page is slow — not an ORM tour.
  • System Design — Core concepts first (SQL vs NoSQL, CAP, indexing, replication, sharding), then designs grouped by what carries them: the database, Redis, Kafka, or many services.
  • Build a real API with NestJS — One ticket-booking API, built in order: a plain Node server first, then NestJS modules, validation, a real database, and the features real clients lean on.
  • Microservices — Microservice patterns one diagram at a time: how to split a monolith, how services talk, and how data stays consistent without distributed transactions.
  • Kafka — A beginner-to-senior path through event logs, reliable delivery, production operations, and disaster recovery.
  • AI engineering for software engineers — Eight free reads, in order, for software engineers moving into AI: when to build an agent, how to build one, how to test it, and how the model works underneath.
  • Frontend system design — How a UI is sliced when it is a product, not a page: ownership of state, cache, routes, and what happens when the network lies.
  • TypeScript in depth — The type system as a design tool. Inference, narrowing, generics, and the errors that mean the model is wrong — not a catalog of utility types.
  • CSS in depth — See the box, then the page. Visual chapters from the box model through Flexbox surprises, Grid, selectors, and units, then backgrounds, shapes, and visual effects, each with a playground.
  • Accessibility — Foundations first (WCAG in plain words, semantic HTML, lists, alt text), then hands-on HTML labs, a full pass of WAI-ARIA 1.3, and a final fix-the-page challenge.
  • Docker — What an image is, why layers cache, and how containers find each other on a network.
  • Redis — Fifteen Redis patterns, one picture each: cache, session, lock, counter, rate limiter, queue, and when Redis is the wrong tool.
  • Kubernetes — Kubernetes from zero to operators: why it exists, Pods, Deployments and Services, then configuration, networking, storage, scheduling, scaling and security.