MERN STACK TRAINING IN KOCHI

– Introduction to AI & Prompt Engineering
– AI API Integration
– AI-Powered Features in Web Applications
– AI Coding Assistants & Developer Tools
– Responsible AI & Best Practices

– HTML & CSS in detail
– JavaScript (Beginner to Advanced)
– DOM Manipulation
– Event Handling

– Introduction to React
– Packages, NPM, Vite, Folder Structure, JSX
– Components (Functional & Class), Export & Import
– Handling Images, Props, onClick, State
– Building Counter App

– Handling Input: onChange
– Todo App Project
– React under the hood
– Handling Events: onKeyDown
– React Routing
– Hooks: useState, useEffect, useRef
– Backend Connections (API Integration)

– Practical assessment covering React fundamentals & advanced topics

– Synchronous vs Asynchronous code
– FakeStoreAPI (Practical Project)
– Promise Method
– async/await Method
– Fetch API

– Ant Design (Antd)
– React Toastify
– Context API
– Task Manager App Project

– Introduction & Key Features
– Asynchronous Code, Callbacks, Event-driven Programming
– Node.js under the hood
– Promises, Async/Await, Error Handling
– Timers: setTimeout, clearTimeout, setInterval
– Built-in Modules: fs, os

– HTTP module, Server Creation (createServer)
– Request & Response Handling (req, res, content-types, status codes)
– Routing
– Express Framework Introduction
– Params & Query String
– Middleware (Morgan, Custom Middleware, Execution Order)
– Serving Static Files
– File/Image Uploads
– EJS Templating
– CRUD Operation App (Frontend + Backend)

– Introduction to SQL & MySQL
– Tools: MySQL Server, MySQL Workbench
– Database, Table, Row, Column
– Primary Key & Foreign Key
– Basic SQL Queries
– CRUD Operations
– WHERE conditions
– ORDER BY, LIMIT
– MySQL Connection with Node.js
– CRUD App with Frontend + Backend

– Introduction & Setup
– Model & Table Definition
– Data Types & Options
– CRUD Operations
– Query Options
– Relationships (One-to-One, One-to-Many, Many-to-Many)
– Joins using Sequelize
– Pagination & Sorting
– Aggregate Functions (COUNT, SUM, AVG, MIN, MAX)

– Introduction to Authentication vs Authorization
– JSON Web Token (JWT) – Token-based Authentication
– Bcrypt – Password Hashing
– Role-based Access Control (RBAC)
– Securing Routes (Private & Public Routes)
– Refresh Tokens & Token Expiry Handling

– Introduction to Git & Version Control
– Git Basics: init, clone, commit, push, pull
– Branching & Merging
– Working with Remote Repositories (GitHub)
– GitHub Tokens & Authentication for Private Repos
– Best Practices for Team Collaboration

– What is AI, ML, and Large Language Models (LLMs)
– Overview of major AI tools: ChatGPT, Claude, Gemini, GitHub Copilot
– Prompt Engineering — zero-shot, few-shot, chain-of-thought techniques
– Writing effective prompts for code generation, debugging, and documentation
– System prompts, role-based prompting, and prompt chaining
– Lab: Generate a complete React component using prompts only

– OpenAI API and Anthropic Claude API — setup and usage
– API keys, rate limits, tokens, and cost management
– Building a chatbot endpoint with Chat Completions API
– Streaming responses using Server-Sent Events (SSE)
– Function Calling / Tool Use — making AI trigger real actions
– Embeddings API and semantic search
– Project: Full-stack AI chatbot built with MERN stack

– AI text summarization and content generation
– Sentiment analysis integration for user reviews
– AI image generation using DALL-E API
– Voice input using OpenAI Whisper API (speech-to-text)
– Text-to-speech using ElevenLabs or OpenAI TTS API
– Introduction to RAG (Retrieval Augmented Generation)
– Mini project: AI-powered product review analyzer

– GitHub Copilot — setup, usage, and best practices
– Cursor IDE — AI-native code editor walkthrough
– Claude and ChatGPT for coding, debugging, and refactoring
– AI-assisted unit test generation using Jest
– AI code review for security and performance
– v0.dev and Bolt.new — AI UI generation tools
– Workshop: Build a full CRUD module in 1 hour using AI tools

– AI hallucinations and how to validate AI-generated output
– Data privacy — what should never be sent to AI APIs
– Bias in AI models and its implications
– Cost optimization — caching, batching, and token management
– When to use AI vs manual coding — decision framework
– Future trends: AI Agents, RAG, MCP, and Agentic coding
– Student presentations on AI features developed

– End-to-End MERN Stack Application
– Includes Authentication, Authorization, Role Management
– CRUD Operations with Database
– API Integration
– Frontend + Backend Deployment
– Git & GitHub for Version Control
– Presentation & Documentation

A: Techmindz is one of the best MERN Stack training institutes in Kochi, Kerala.It offers practical training, live projects, internships, and 100% placement support.Many students choose Techmindz for its industry-focused learning and guidance.

A: Yes, the Mern Stack Training in Kochi offers both online and offline classes. The on-line lessons are designed in a manner that fits in line with your flexibility and can be accessed from everywhere with proper net connection. Our faculties will be there to guide you through and clean all your doubts regarding the same.

A: Here at Techmindz, we strive to make the students well-versed in the full stack developer classes, course making them ready for the top MNC’s. Our courses normally have a duration of 4 to 5 months which entirely depends on the plans that you opt for.

A: Senior Full Stack Developers in Kochi can expect a salary between ₹3.5 lakh to ₹8 lakh per year. The salary depends on your skills and the company you join. With good knowledge of the MERN Stack, the pay can increase quickly, especially in startups and IT companies.

A: Techmindz offers placement assistance and internship support for MERN Stack students. Learners get real-time project experience, resume help, and interview training. This support helps students start their career as MERN Stack developer with confidence.