No one knows your score but you. This is your personal checkpoint.

Future-Ready Training
Node.js Course Built for AI-Paired Learning
Node.js Course at Wisen, Chennai, India, builds backend confidence with the Node runtime, modules, async execution, APIs, databases, authentication, testing and deployment. Learn Node.js Training through AI-paired server projects that connect JavaScript skill to production backend work.
“The right Node.js Online Course today can turn JavaScript knowledge into backend delivery tomorrow.”
2700+ Career-Focused Learners/Year
Industry Trust From 30+ Corporates
A Community of 17,700+ Trained Learners
27+ Years of Learning Excellence
Develop AI-Ready Career Skills
Learn, Build and Become Project-Ready
Learn with structure, build with confidence, and use AI with understanding.
Gain Knowledge. Grow Your Career.
Node.js Training Syllabus
The course curriculum for Node.js Training follows a published syllabus with chapter-wise practice, live code review and AI-assisted exercises. It connects Node.js training with API development workflows, so learners build current tooling confidence, project-ready habits and clear career growth. Practice follows.
Chapter 1Node.js Foundations
Node.js Foundations
This chapter focuses on What Node.js is and where it is used, The V8 engine and libuv, Node.js release lines and LTS and the practice needed to use these concepts confidently in real projects.
- What Node.js is and where it is used
- The V8 engine and libuv
- Node.js release lines and LTS
- Installing and managing versions
- The REPL and running scripts
- The process object
- Command line arguments
- Environment variables
- Exit codes and graceful shutdown
- Signals and process events
- The global object in Node
- Differences from the browser environment
- Node built-in modules overview
- The node: prefix for built-ins
- Reading the official documentation
- The event loop phases
- The call stack and the thread pool
- Blocking against non-blocking operations
- setImmediate against setTimeout
- process.nextTick and microtasks
- Measuring event loop lag
- Debugging with the inspector
Chapter 2Modules and Package Management
Modules and Package Management
This chapter focuses on The CommonJS module system, require, module.exports and exports, Module caching and singletons and the practice needed to use these concepts confidently in real projects.
- The CommonJS module system
- require, module.exports and exports
- Module caching and singletons
- ES modules in Node.js
- The type field in package.json
- File extensions and dual packages
- Interop between CommonJS and ESM
- Top-level await in modules
- Dynamic import
- Module resolution algorithm
- Subpath imports and exports maps
- npm basics and the registry
- package.json fields that matter
- Semantic versioning ranges
- Lock files and reproducible installs
- Dependencies against devDependencies
- Peer and optional dependencies
- npm scripts and lifecycle hooks
- npx and one-off tools
- Workspaces and monorepos
- Auditing and updating dependencies
- Publishing a package
Chapter 3Asynchronous Patterns
Asynchronous Patterns
This chapter focuses on The error-first callback convention, Converting callbacks to promises, util.promisify and the practice needed to use these concepts confidently in real projects.
- The error-first callback convention
- Converting callbacks to promises
- util.promisify
- The promises variants of core modules
- async/await in Node code
- Sequential against parallel execution
- Promise.all and partial failure
- Concurrency limits and pooling
- AbortController and AbortSignal
- Timeouts on async operations
- Retry with exponential backoff
- The EventEmitter class
- Emitting and listening to events
- once and removing listeners
- Error events and crashes
- Max listeners warnings
- Async iterators over events
- AsyncLocalStorage for request context
- Unhandled rejections
- Uncaught exception handling
- Graceful degradation on failure
- Structuring async service code
Chapter 4File System, Paths and Buffers
File System, Paths and Buffers
This chapter focuses on The fs module and its three APIs, Reading files synchronously and asynchronously, Writing and appending files and the practice needed to use these concepts confidently in real projects.
- The fs module and its three APIs
- Reading files synchronously and asynchronously
- Writing and appending files
- File descriptors and handles
- Copying, renaming and deleting
- Creating and reading directories
- Recursive directory operations
- Watching files for changes
- File metadata with stat
- Permissions and access checks
- Temporary files and directories
- The path module
- Joining and resolving paths
- Cross-platform path handling
- The URL module and file URLs
- Buffers and binary data
- Encoding and decoding text
- TextEncoder and TextDecoder
- Working with JSON files safely
- CSV parsing basics
- Handling large files without loading them
- Atomic writes and data safety
Chapter 5Streams and Data Processing
Streams and Data Processing
This chapter focuses on Why streams exist, Readable streams, Writable streams and the practice needed to use these concepts confidently in real projects.
- Why streams exist
- Readable streams
- Writable streams
- Duplex and Transform streams
- Flowing and paused modes
- The data, end and error events
- pipe and its error handling gaps
- stream.pipeline and cleanup
- Backpressure explained
- Highwater marks and buffering
- Creating a custom readable stream
- Creating a custom transform stream
- Object mode streams
- Async iteration over streams
- Web Streams in Node
- Converting between stream types
- Compressing with zlib
- Hashing with crypto streams
- Streaming file uploads
- Streaming HTTP responses
- Processing large datasets line by line
- Measuring throughput and memory
Chapter 6HTTP and Networking
HTTP and Networking
This chapter focuses on The HTTP protocol refresher, Creating a server with the http module, The request and response objects and the practice needed to use these concepts confidently in real projects.
- The HTTP protocol refresher
- Creating a server with the http module
- The request and response objects
- Reading request bodies
- Parsing query strings
- Setting status codes and headers
- Content types and negotiation
- Serving static files
- Manual routing
- Cookies and their attributes
- Sessions and state
- HTTPS and TLS basics
- HTTP/2 support
- Keep-alive and connection reuse
- Making outbound requests with fetch
- Timeouts and retries on outbound calls
- Proxies and forwarded headers
- Compression middleware
- CORS explained
- WebSockets and real-time messaging
- Server-sent events
- Load balancing and sticky sessions
Chapter 7Databases and Data Access
Databases and Data Access
This chapter focuses on Choosing SQL or NoSQL, Connecting to PostgreSQL from Node, Connecting to MySQL from Node and the practice needed to use these concepts confidently in real projects.
- Choosing SQL or NoSQL
- Connecting to PostgreSQL from Node
- Connecting to MySQL from Node
- Connecting to MongoDB from Node
- Connection pooling
- Query builders and ORMs
- Prisma overview
- TypeORM and Sequelize overview
- Modelling entities and relations
- Migrations and versioning the schema
- Seeding development data
- Transactions and rollbacks
- Isolation levels in practice
- Preventing SQL injection
- Pagination strategies
- Indexing for query performance
- Caching with Redis
- Cache invalidation patterns
- Repository and data access layers
- Testing against a real database
- Handling database failures
- Backup and recovery awareness
Chapter 8Security and Authentication
Security and Authentication
This chapter focuses on The OWASP top risks for APIs, Input validation at the boundary, Output encoding and injection and the practice needed to use these concepts confidently in real projects.
- The OWASP top risks for APIs
- Input validation at the boundary
- Output encoding and injection
- Password hashing with bcrypt or argon2
- Salting and work factors
- JWT structure and signing
- Access and refresh token flows
- Session-based authentication
- Secure cookie flags
- Role and permission checks
- Rate limiting and throttling
- Brute force protection
- Helmet and security headers
- CSRF protection strategies
- File upload security
- Path traversal prevention
- Secrets management
- Dependency vulnerability scanning
- Logging without leaking data
- Encryption with the crypto module
- Random values and token generation
- A security checklist before release
Chapter 9Performance, Scaling and Workers
Performance, Scaling and Workers
This chapter focuses on Profiling CPU usage, Heap snapshots and memory leaks, Common leak sources in Node and the practice needed to use these concepts confidently in real projects.
- Profiling CPU usage
- Heap snapshots and memory leaks
- Common leak sources in Node
- Garbage collection behaviour
- Reducing synchronous work
- Worker threads for CPU-bound tasks
- Sharing data with worker threads
- Child processes and spawning
- The cluster module
- Process managers and restarts
- Horizontal scaling considerations
- Statelessness and shared session stores
- Queues and background jobs
- Scheduling recurring work
- Caching layers and their placement
- Connection limits and tuning
- Benchmarking endpoints
- Load testing methodology
- Interpreting latency percentiles
- Timeouts and circuit breakers
- Graceful shutdown under load
- Capacity planning basics
Chapter 10Testing, Deployment and Operations
Testing, Deployment and Operations
This chapter focuses on The built-in test runner, Unit testing services, Integration testing endpoints and the practice needed to use these concepts confidently in real projects.
- The built-in test runner
- Unit testing services
- Integration testing endpoints
- Test databases and fixtures
- Mocking external services
- Contract testing overview
- Coverage reporting
- Structured logging
- Correlation ids across requests
- Log levels and noise control
- Metrics and health endpoints
- Distributed tracing basics
- Error tracking services
- Configuration management
- Twelve-factor principles
- Dockerising a Node service
- Multi-stage builds and image size
- Running in a container safely
- CI pipelines for Node projects
- Blue-green and rolling deploys
- Project: building the complete service
- Project: deployment, monitoring and review
Node.js Foundations
This chapter focuses on What Node.js is and where it is used, The V8 engine and libuv, Node.js release lines and LTS and the practice needed to use these concepts confidently in real projects.
- What Node.js is and where it is used
- The V8 engine and libuv
- Node.js release lines and LTS
- Installing and managing versions
- The REPL and running scripts
- The process object
- Command line arguments
- Environment variables
- Exit codes and graceful shutdown
- Signals and process events
- The global object in Node
- Differences from the browser environment
- Node built-in modules overview
- The node: prefix for built-ins
- Reading the official documentation
- The event loop phases
- The call stack and the thread pool
- Blocking against non-blocking operations
- setImmediate against setTimeout
- process.nextTick and microtasks
- Measuring event loop lag
- Debugging with the inspector

Upskilling & Induction Programs
Corporate Node.js Course
Corporate Node.js course delivery covers the runtime your services actually run on: the event loop, streams, modules, processes and the failure modes each one brings. Delivered on-site in Chennai or live online, aligned to your service conventions, and practised on services under realistic load. Profiling included.
Industry-Relevant Node.js Skills
The event loop, streams and buffers, modules, file and network I/O, processes, environment configuration and error handling.
AI-Enabled Learning
Work effectively with Claude and AI development tools while human reasoning, engineering judgement and ownership stay at the centre of every Node.js decision.
Induction & Upskilling Programs
Structured learning paths for new hires, freshers and experienced developers adopting or strengthening Node.js skills.
Hands-On Node.js Workflows
Build HTTP services, work with streams and async patterns, add logging and configuration, then debug and profile the runtime.
Customized Corporate Programs
Align training with your roles, technology stack, delivery timeline, live projects and organisational requirements.
AI-Evaluated Skill Development
Evaluate practical progress through AI-assisted assessments that identify strengths, skill gaps and areas for improvement.
Design. Operate. Scale.
Node.js Training Skills You Gain
Fifteen capabilities you leave with — the runtime model, HTTP services, data access, security and the operational work a service needs in production.
Node.js Runtime Model
Reason about the event loop, the thread pool and non-blocking I/O so server behaviour under load stops being a mystery.
Asynchronous Server Code
Write async and await, streams and back-pressure-aware code that keeps the process responsive.
Modules & Project Structure
Organise a service into modules and layers with ES modules, and manage dependencies without circular imports.
Building HTTP Services
Build HTTP servers and REST endpoints with correct status codes, headers, content types and timeouts.
File System & Streams
Process files and large payloads with streams and pipelines instead of loading everything into memory.
Authentication & Sessions
Implement password, token and session flows, including refresh, expiry and revocation.
Service Security
Validate input, manage secrets, set headers, rate-limit and handle the common server-side attack surface.
Databases & External Services
Connect to databases, queues and third-party APIs with pooling, retries and sensible failure handling.
Error Handling & Logging
Centralise error handling, log with structure and correlation ids, and keep a failure diagnosable in production.
Performance & Scaling
Profile CPU and memory, cache deliberately, and scale with clustering or worker threads when it is warranted.
Testing Services
Write unit and integration tests against real HTTP surfaces, with test data that does not leak between runs.
Debugging & Diagnostics
Use the inspector, heap snapshots and traces to find leaks, hangs and slow paths in a running service.
npm & Dependency Hygiene
Manage versions, lockfiles, scripts and audit findings so the dependency tree stays something you can defend.
Deployment & Operations
Containerise a service, configure it through the environment, add health checks and ship it to production.
AI-Assisted Development
Use Claude and Claude Code to build and review Node.js services while the architecture stays yours.
How the verification works
How you verify your Node.js skills independently
Most training providers set their own test and mark their own paper. We do not. At the end of each stage of the Node.js Training you check your own readiness using your own ChatGPT, Claude, Gemini or other AI account. Wisen does not write the questions, does not see your answers, and does not record your score.
The reasoning is straightforward. A score we control proves very little — to an employer, or to you. A score produced by a tool we have no influence over is worth something. You ask the AI to test you on Node.js, it decides what to ask, and the result belongs to you alone.
Seventy per cent is the mark we treat as ready. Score seventy or above and you move on to the next stage. Score below it and we work through the gap with you: identify what was missed, teach it again, practise it, then go back to the AI and check. You repeat that loop as many times as it takes.
In short
- You use your own AI account, not one of ours.
- We do not write the questions and cannot influence them.
- Your score stays private — we never see it.
- Below seventy per cent, we work through the gap with you and you verify again.
Independent AIVerification Checkpoint
You learn Node.js Training. AI verifies. Wisen helps you grow beyond 70%.
Use ChatGPT, Claude, or another AI tool to validate your Node.js Training readiness.
It is your learning journey. Go at your pace.
Every step you take today builds your tomorrow.
Our mission is your growth, always.
Placement Assistance
Career Support You Can Count On
Node.js training aimed at real backend work. Employment is not something we can promise, so we concentrate on the things we can: depth, a credible profile and steady guidance.
- 01
Gain 2+ Years of Professional Knowledge
Streams, the event loop, error handling and process behaviour under load are the things production breaks on. Knowing them is what separates a two-year backend engineer from a tutorial graduate.
- 02
Resume / Biodata Support
Get expert guidance to build a strong, professional resume that highlights your skills, projects and achievements.
- 03
Portfolio Development
Build real-world projects and a strong portfolio that demonstrates your practical skills to potential employers.
- 04
Interview Preparation
Node interviews probe asynchronous behaviour, memory, and how you would debug a service that is slow in production. We run those scenarios with you and critique the reasoning, not just the answer.
- 05
Job Search Guidance
We help you target backend openings that name Node.js, read past the buzzword lists, and approach teams building services rather than only maintaining them.
- 06
Placement Assistance
We assist you in identifying relevant opportunities and connecting with potential employers.
- 07
Independent AI Verification Checkpoint
Your learning, projects and skills are verified by our Independent AI Verification System to ensure objective and unbiased evaluation.
- 08
Future-Ready Knowledge
Runtime releases, ESM and the wider JavaScript server ecosystem keep moving. The fundamentals you learn here stay valid through all of it.
Our Commitment
There is no employment guarantee in this course. Your outcome follows from your own practice, assessment performance, interview performance and employer demand. Our commitment is to help at every step of it.
Build. Practice. Master Node.js.
Node.js Online Course Materials

The Node.js online course is delivered with material that treats a service as something you have to operate, not just write. Notes explain the runtime, streams and failure handling; lab activities build and secure an HTTP service; and exercises ask you to profile, debug and harden a service that already runs. Everything is authored in-house by trainers who run Node.js in production. Every page is reviewed twice.
What You Will Receive
Node.js Notes & Explanations
Explanations of the event loop, streams, HTTP services, security and diagnostics, written for practising developers rather than copied from documentation.
Guided Lab Activities
Labs that carry one change through planning, implementation and verification — an authenticated HTTP service backed by a real database among them.
Hands-On Exercises
Independent tasks on profiling, fixing leaks and hardening existing endpoints, worked without a walkthrough to lean on.
Worked Walkthroughs
Recorded sessions showing project setup, the change itself, and the checks that prove it works.
Progressive Learning Path
A route from the fundamentals to a containerised Node.js service with logs and health checks, in the order the live sessions follow.
Revision & Reference Sheets
Compact references for runtime behaviour, stream APIs and diagnostic commands, plus the review habits that keep AI-assisted work safe.
What Makes Our Node.js Learning Materials Different?
27+ Years of Experience
Authored by trainers who weigh every Node.js decision against decades of delivered software.
Human-Authored Content
Written by trainers who work with Node.js daily, then reviewed line by line.
Original Learning Materials
Created in-house, not assembled from documentation or shared prompt collections.
Practice First
Every technique is applied to a real Node.js task and its result inspected.
Continuously Refined
Revised as Node.js and developer tooling move, so sessions reflect what works this month.
Review Discipline Built In
Materials teach reading the diff and testing the change, not accepting output on trust.
Plan. Build. Operate.
Node.js Course Duration & Batch Timings
Node.js Course from Wisen IT Solutions, Chennai runs live in two paces over 60 Hrs of instructor-led training. The lecture and practical time is split 50 : 50, with the practical half weighted towards building services and diagnosing them while they run.
Total Learning Hours
60 Hrs
Lecture : Practical
50 : 50
Batches
Weekday & Weekend
- Instructor-led sessions
- Guided lab activities
- Hands-on Node.js practice
- Reviewed project work
Normal Track
2.5 Hours / Session
24 sessions · about 5 weeks
A steady pace for developers taking Node.js training alongside a full working day.
- Working Developers
- College Students
- Team Leads
- Weekend Batches
Fast Track
5 Hours / Session
12 sessions · about 3 weeks
A concentrated schedule through the same Node.js syllabus for learners free on weekdays.
- Full-Time Learners
- Job Seekers
- Fresh Graduates
- Career Switchers
What Every Seat Includes
- Live instructor-led sessions
- Hands-on Node.js coding
- Guided lab activities
- Independent exercises
- AI-assisted learning
- Code review and feedback
- Doubt clarification
- Certificate on completion
Same Syllabus · Same Labs · Same Evaluation · Same Outcome
Whichever batch of the Node.js Course you join, the syllabus, lab activities, exercises and evaluation are identical. Only the pace differs, so pick the track that fits the time you can genuinely give it each week.
Live online, worldwide
Join Node.js Training from anywhere in the world
Every session is taught live by a practising engineer — never a pre-recorded video. Batches run to Indian Standard Time, and the timing is adjusted to suit your time zone wherever you are.
Live, not recorded
You write code during the session, ask questions as they come up, and have that code reviewed.
Your time zone, any country
Weekday and weekend slots in IST. If none of them suit where you live, we schedule a batch that does.
Pay from outside India
International debit and credit cards, PayPal and direct bank transfer are all accepted.
Balanced Learning. Running Services. Career-Ready Skills.
Node.js Lecture-Practical Ratio
Node.js is a practice, not a subject to read about. The Node.js Course is delivered on a 50 : 50 lecture-practical ratio, so every concept is applied in the same session it is explained, on code that behaves like the code you will be paid to write.
Sessions are spent building services and diagnosing them while they run — which is what delivery work and technical interviews actually ask for, rather than a description of it.
50% Theory
Where each Node.js idea comes from, and when it is the right one to reach for.
- Node.js Foundations
- Asynchronous Patterns
- Streams and Data Processing
- HTTP and Networking
- Security and Authentication
- Testing, Deployment and Operations
50% Practical
What you do with it, in the same session, on code that behaves like production.
- Building an HTTP service from an empty folder
- Streaming a large payload without buffering it
- Adding authentication and rate limiting
- Profiling CPU and memory on a running process
- Writing integration tests over real routes
- Containerising the service with health checks
Why a 50 : 50 Split Works for Node.js
See It Work First
Each idea is demonstrated running before you are asked to build with it.
Build It Immediately
Every concept becomes Node.js code you write while it is still fresh.
Work on Real Code
Practice happens on realistic repositories, not on disposable snippets.
Fail Where It Is Safe
Break it in the room, where a trainer can explain what actually went wrong.
Prove the Skill
Leave able to demonstrate the work, not only to talk about it.
Our Learning Philosophy
Every Node.js concept is followed by something you build yourself.
Clear Entry Bar. No Guesswork. Career-Ready Start.
Node.js Course Prerequisites
This Node.js Course assumes no server-side experience beyond the language prerequisite below. The runtime, modules, the event loop, file and network I/O, and API fundamentals are introduced from the first session.
The Node.js Course is delivered live online and in Chennai, so everyone starts the same exercises from the same baseline.
MandatoryJavaScript Foundation
- JavaScript is a mandatory prerequisite — begin with the JavaScript Course
- Functions, arrays, objects and destructuring
- Promises and async/await in everyday use
- HTTP basics — requests, responses and status codes
EngineeringDiscipline
- Willingness to review every change you write
- Care with credentials and environment variables
- Habit of describing a defect precisely
- Commitment to the hands-on Node.js Course builds
Backend WorkspaceSetup
- A laptop with a stable internet connection
- Node.js and npm — setup guidance provided
- VS Code plus a working terminal
- An API client such as Postman or curl
Who Can Join?
- Students & Graduates
- JavaScript & Backend Developers
- Tech Leads & Architects
- Teams moving server-side work to Node.js
The Runtime. The Packages. The Toolchain.
Node.js Course Tools & Technologies
The Node.js Course is taught inside the tools the work actually happens in. Node.js is taught at the terminal — npm, the process, the event loop and the profiler, on the same runtime the code is deployed to.
You leave able to build and operate a Node service, not only write handlers for one. Every tool listed below is used in the sessions rather than only named in them.
Node.js Core
- The Event Loop
- ESM & CommonJS
- Streams & Buffers
- File System API
- Process & CLI
- Async Patterns
HTTP & Data
- HTTP Module
- REST Endpoints
- Database Drivers
- Auth & Hashing
- Environment Config
- WebSockets
Scaling & Operations
- Worker Threads
- Cluster Module
- Profiling & Heap
- Redis Caching
- Rate Limiting
- PM2 & Docker
Tooling & Quality
- npm & npx
- VS Code
- ESLint & Prettier
- Jest & Supertest
- Git Workflow
- CI Pipelines
Learning Outcome
You finish the Node.js Course able to build and operate a Node.js service end to end — through project work you can defend in review.
- Command the Runtime
- Work With Streams
- Build Real APIs
- Deploy and Operate
Primary Sources
Node.JS Course Official References
Runtime behaviour and protocol behaviour are taught from the references that define them.
- Node.js — API documentation
The runtime’s own reference for modules, streams and the event loop.
- MDN Web Docs — HTTP
The reference for methods, status codes, headers and CORS behind every API in the course.
Got Questions - Quick Answers
Node.js Training - frequently asked questions
Is there real hiring demand for the NodeJS Course skills in Chennai?
Product companies, global capability centres and services firms in Chennai all run teams on this stack, which keeps steady demand behind the NodeJS Course. Because the Node.js Online Course is used for new builds and for long-lived applications alike, that demand spans startups and established engineering organisations.
Can freshers and non-IT graduates join Node.js Online Training?
Yes. Freshers and graduates from non-IT streams join regularly, and Node.js Online Training starts from the fundamentals before moving into advanced work. If your programming basics are thin we will say so before you enrol, and suggest the order in which to take NodeJS Training and its prerequisites.
What is the refund policy if I enrol in the NodeJS Course?
We run a one-week evaluation instead of a one-hour demo class. A ₹2,000 registration fee reserves your seat in the NodeJS Course; attend the first week of live sessions and, if the training is not the right fit, that registration fee is refunded in full. If you register but cannot attend, it converts to Training Credit valid for 12 months. Once the course fee is paid, Node.js Online Training fees are transferable once, within a month, if you leave before two weeks, and are neither refundable nor transferable after two weeks of attendance.
What placement support do I get with NodeJS Training?
We do not promise a job, and you should be wary of anyone who does. What NodeJS Training includes is preparation: we help you prepare your biodata, build a portfolio from work you have actually done, and identify the knowledge gaps that would cost you an interview. That review covers the the NodeJS Course skills interviewers ask about today and the ones worth learning next, so you can keep preparing after the course ends.
What should I know before joining Node.js Training?
You should know modern JavaScript basics such as functions, objects, promises and modules. The course then moves into Node.js runtime concepts and backend APIs.
Does Node.js Training include a syllabus and certificate?
Yes. The course follows a published syllabus with backend projects, human review, independent AI assessment and a course completion certificate.
- 27+
- Years of training
Delivering technical training from Chennai since 1996. - 17,700+
- Learners empowered through training
Corporate teams, IT working professionals, career switchers and students. - 2,700+
- Happy students / year
Learners completing our programmes every year. - 30+
- Corporate clients
Product companies, service firms and startups.
Corporate training clients
Teams that train with Wisen IT Solutions, Chennai, India
Engineering teams across product companies, IT services firms and startups run their JavaScript, Angular, React and Next.js upskilling and induction programs with us.

Altimetrik 
Aparajitha Corporate Services 
Caresoft 
Dzine Hub 
Firstsource 
Gigamon 
Helios and Matheson 
NextGen Healthcare 
Perpetuuiti Technosoft 
R Systems 
SRM Institute of Science and Technology 
Temenos 
The Hindu 
Tamil Nadu Electricity Board 
WABCO
Build JavaScript for the AI-era
Plan your JavaScript training with Wisen IT Solutions, India
Tell us where you are today — a beginner, a working developer, or a team with a delivery deadline — and we will map the right course, format and schedule.
Think with AI. Don't Depend on AI.



