TypeScript Course in Pune with Placement

TypeScript from a JavaScript-aware starting point. Cover the type system foundations (primitives, arrays, tuples, objects, functions, the type vs interface distinction), strict null checks, type inference (where it works, where you need explicit annotations), the modern toolchain — tsx for fast TypeScript-on-Node, the Node 22 type-stripping mode that runs TS without a compile step, Vite for browsers with TypeScript as default, ESLint + Prettier configured for typed code. By the end of week 1 every student has a TypeScript-only project running on Node 22 with passing CI.

The type system's ground floor, covered properly so that nothing later rests on a guess. Primitives and inference; arrays and tuples and when a fixed-length tuple genuinely says more than an array; object types with optional and readonly members; and the four special types that beginners misuse most — `any`, `unknown`, `never` and `void`.

`any` versus `unknown` gets particular attention, because reaching for `any` is how a TypeScript codebase quietly becomes a JavaScript codebase with extra syntax. Enums, `as const`, and type assertions close the module, along with a clear statement of when an assertion is a legitimate escape hatch and when it is a lie you will pay for at runtime.

Generics are where TypeScript stops being 'JS with types' and becomes a real type system. Cover function generics, class generics, generic constraints (`<T extends Foo>`), the utility types every TypeScript developer uses (Pick, Omit, Partial, Required, ReturnType, Parameters, Awaited, NonNullable), plus the type-level operations that build them — keyof, typeof, the indexed-access type. We finish by reading the type definitions of a real npm package so you internalise what production type-modelling looks like.

The object model, and the parts TypeScript adds on top of JavaScript's. Classes, fields, constructors and parameter properties; access modifiers and the genuine difference between TypeScript's `private` and JavaScript's `#private`; inheritance and abstract classes; and implementing interfaces.

This material is what makes Angular, NestJS and much of the Node ecosystem legible — decorators, injectable services and controller classes are all built on it. The module also covers when not to reach for a class, since a good deal of TypeScript is better written as functions over plain data.

The advanced type-system features that separate TS readers from TS authors. Cover conditional types (`T extends U ? X : Y`), the `infer` keyword for type extraction, distributive conditional types and how `T extends infer U` distributes over unions, mapped types (`{ [K in keyof T]: ... }`), key remapping with `as`, plus template literal types (the source of TypeScript's expressive route-type / API-type modelling). We finish by reading and authoring small chunks of a real type-heavy library (zod / drizzle / trpc style).

How TypeScript understands code it did not compile. ES modules, import and export forms, and module resolution — which is the source of a large share of the confusing errors beginners hit, because the compiler is looking somewhere you did not expect.

Declaration files are then demystified: what a `.d.ts` actually contains, how DefinitelyTyped and `@types` packages work, how to write typings for an untyped library rather than giving up and using `any`, module augmentation, and declaration merging. Namespaces are covered as legacy you will meet in older codebases and should not write new.

Real production TypeScript spends a lot of time refining types. Cover type narrowing (typeof, instanceof, in operator, equality narrowing, control-flow analysis), user-defined type guards (with `is`-predicates), the new TypeScript 5.5+ inferred type predicates, assertion functions, plus discriminated unions — the design pattern that makes most production TypeScript types pleasant. We finish by modelling a real domain (a state machine, a parsed expression tree, an API response variant) using discriminated unions.

Typing the parts of a program that fail. Promises and their generic parameter, async/await with correct return types, and concurrent operations with `Promise.all` and `allSettled` — including the typing subtleties that make the difference between a useful result type and a union you have to unpick by hand.

Error handling is where TypeScript is least helpful by default: a caught value is `unknown`, and narrowing it is your job. You build a custom error hierarchy, learn to type-guard errors properly, and meet the Result type pattern — returning failures as values rather than throwing — which is increasingly common in TypeScript codebases and worth being able to argue about either way.

The boundary where types stop being guaranteed. TypeScript checks what you compile; it cannot check the JSON that arrives from an API, the value in a form field, or an environment variable — and code that assumes otherwise fails in production while type-checking perfectly.

You type DOM queries and events properly, then move to the real subject: runtime validation with Zod, parsing rather than asserting external data, and deriving static types from a validation schema so the type and the check can never drift apart. Type-safe environment variables and configuration close the module — a small pattern that prevents a specific and very common production failure.

TypeScript in the React ecosystem. Cover typing component props (with default values, with required vs optional, with children), useState / useEffect / useReducer with proper types, custom hooks with generics, refs, event handlers, plus the integration with libraries (TanStack Query types, React Hook Form + Zod inference, React Router 7 types). For Next.js — typed routes (the App Router type augmentation), Server Components types, Server Actions with FormData types. By the end of week 5 every student has a typed React + Next app deployed.

TypeScript on the backend. Cover Node.js + TypeScript (tsx for dev, esbuild / tsc for prod, declaration-file authoring), Express + TypeScript (typing middleware, request / response, async error handling), Fastify with its schema-driven validation that turns Zod schemas into both runtime validation AND inferred TypeScript types, plus NestJS — the framework whose dependency-injection patterns showcase TypeScript at its best. Finish with declaration-file authoring (.d.ts files) for the cases when an npm package lacks types.

Using the type system to make wrong states unrepresentable, which is the point at which TypeScript stops being annotation and starts being design. Branded and opaque types so a `UserId` cannot be passed where an `OrderId` is expected; discriminated unions that model a workflow's real states; and exhaustive checks that fail compilation when a new state is added and not handled.

Immutability covers `readonly`, `as const` and deep-readonly patterns. The functional half covers composition, currying and typed pipelines — not as a doctrine, but because these techniques are common in modern TypeScript and reading them should not require guesswork.

The senior-developer layer, and the material that separates a TypeScript course from a syntax tutorial. The classic patterns as they are actually written in TypeScript — factory, strategy, adapter, repository, observer, builder — with an honest note on which are worth the ceremony in a language with first-class functions and which are Java habits in disguise.

SOLID is taught with concrete TypeScript examples rather than definitions. Clean architecture covers layering, the dependency rule, and keeping domain logic free of framework imports — the thing that makes a codebase survivable when the framework changes, which it always eventually does.

The last mile — making typed code testable, shareable and maintainable at scale. Testing with Vitest and Jest, testing typed APIs, type-level tests that assert a type is what you think it is, and mocking without discarding type safety in the process.

Monorepos cover workspace layout, project references, shared type packages and the incremental builds that make a large TypeScript repository tolerable. Library development covers package typing, dual ESM and CommonJS output, versioning a public type surface, and API contract sharing — including OpenAPI and GraphQL codegen, which is how most teams keep frontend and backend types in step.

Two weeks of capstone work plus structured interview preparation. Pick one of three capstone projects (see Capstone Projects). Mock interviews calibrated for Pune frontend / backend hiring panels — Persistent, BMW TechWorks, Mercedes-Benz, Synechron, plus the Pune SaaS / fintech scene. Includes a TypeScript-specific mock round (type modelling on a whiteboard / shared editor — the most common 2026 senior interview question), and resume / LinkedIn / GitHub polish.