Node JS Training with AI

Why Learn Node JS?

Learning Node.js is essential in today’s market due to the high demand for scalable, high-performance web applications. Companies prefer Node.js for its speed, efficiency, and ability to handle real-time applications like chat apps and streaming services. With the rise of full-stack JavaScript development, like MEAN, and MERN, mastering Node.js opens doors to lucrative job opportunities in backend development, API creation, and microservices. Its vast ecosystem, strong community support, and use by top tech giants like Netflix, PayPal, and LinkedIn make it a must-learn technology for modern developers.

Course Structure

• book_2 Basic Programming Recap & Aptitude

  This module is designed to help students refresh their fundamental knowledge of C programming and assess their readiness for advanced programming concepts.

• book_2 Module 1: Fundamentals of Node.js , Introduction to AI

  • • What is Node.js? Features & Advantages.
  • • Basic Structure of Node.js as Server Container.
  • • Setting up the Node.js Environment.

  
  

  topicUnderstanding AI and Machine Learning

  • • What is Artificial Intelligence and Machine Learning?
  • • Types of AI: Supervised vs. Unsupervised Learning.

• book_2 Module 2: Node.js Commands & First Application

  • • Node.js, Hello world, Application, REPL [Read Eval Print Loop] Terminal.
  • • Node.js CL Options with Use Case Examples.
  • • Introduction to Node Package Manager .

• book_2 Module 3: NODE.JS API Creation, & AI Use

  • • Working with NODE JS Web Server.
  • • Creating Basic APIs.
  • • Optimizing APIs using AI tool.

• book_2 Module 4: Node.js Modules

  Node.js Modules with example, HTTP Modules, URL Modules, Node.js File Systems.

• book_2 Module 5: Node.js Events & Events Emitter

  Node.js Events with example, Node.js Buffers, Node.js Streams, Node.js callbacks.

• book_2 Module 6: Node.js File Upload, Web server handling Http Request & Response

  Global Object, Node.js Web Modules with example, Upload file..

• book_2 Module 7: AI ChatBot Implementations & Image Detection using Tensorflow.js

  • • Create basic ai enhanced chatbot api in node.js platform (openAI,HuggingFace etc.).
  • • Detecting Image Object using Machine learning tools tensorflow.js.

• book_2 Module 8: Node.js Connection With MongoDB

  • • Basic configuration & install MongoDB driver, create database & collection.
  • • MongoDB queries through Node.JS.

• book_2 Module 9: Automated Testing & Security with AI
  • • AI-powered testing tools for Node applications (AI-driven Selenium).
  • • AI-based vulnerability scanning for Node applications.
  • • AI-enhanced user authentication (face recognition, CAPTCHA alternatives).

AI-Enhanced Project Development & Deployment

Building upon their acquired NodeJS expertise, students will engage in developing sophisticated, industry-relevant projects. This phase integrates AI tools to streamline development, focusing on:

• AI-Assisted Code Generation: Utilizing AI to accelerate the initial coding process.
• Intelligent Debugging & Optimization: Employing AI for identifying and resolving code inefficiencies.
• Automated Testing: Implementing AI-driven testing to ensure robust and reliable applications.

Students will follow a comprehensive Software Development Life Cycle (SDLC), gaining practical experience in each stage. Furthermore, they will be guided through the process of deploying their AI-enhanced projects on free hosting platforms, providing invaluable insight into live application deployment and the integration of AI in real-world scenarios.

Certification as Trainee Software Engineer

On successful completion of the course, students get certified as Trainee Dot Net Developer, jointly by Ejobindia and the development firm Sysalgo Technologies.