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Software Development with Gen Ai

Job Assistance

For Pro Plan

06-months

Duration

Online / Offline

Delivery Mode

English

Language

Beginner to Intermediate

Level

200+ Placed

Live Training

1:1 Mentorship

EMI Available

Everything You Get in This Course

Master these Tools

Course Curriculum

1.Basic Of Web Development

Getting started with Basics
  • Introduction to HTML
  • More on HTML
  • Forms
  • Intro to CSS
  • Styling with CSS
  • Starting with the Resume
  • Project
  • Flex
  • Completing Resume
  • Responsive designs
  • Animations and 3D space
  • Bootstrap
Getting started with JavaScript
  • Fundamentals of JS
  • Loops, Arrays, Functions & Objects
  • Working of JS
  • Functions in JS
  • OOP in JS
  • ES6 Classes
  • DOM Manipulation
  • Mini-Project: Quiz Game
  • JS Asynchronous Modules in JS
  • jQuery
  • Git

2.Front End With React

  • Introduction to React
  • Learning JSX
  • Score-Keeper App
  • Create-React-App
  • React Components – I
  • React Components – II
  • Styling in React
  • Component Lifecycle Methods
  • React Hooks
  • Firebase 9
  • React Router v6
  • Context API
  • Redux in React
  • Redux Toolkit

3.Back End With Node.js

  • Getting Started with NodeJS
  • Modules in NodeJS
  • Exploring More Modules
  • Getting Started with Express
  • Model-View-Controller I
  • Model-View-Controller II
  • File Upload, Session and Cookies
  • Getting Started with API
  • Securing APIs
  • Adding More Features to E-Com App
  • Handling Errors
  • Getting Started with Databases
  • MongoDB with NodeJS – I
  • MongoDB with NodeJS – II
  • Working with Mongoose – I
  • Working with Mongoose – II
  • Socket Programming
  • Task Runners in NodeJS
  • Deployment

4.Data Structures & Algorithms with Java/Python

  • Basics of Programming
  • Loops and Functions
  • Arrays/Lists
  • Strings and 2D Lists

5.Advanced Data Structures & Algorithms

  • Problem Solving
  • Techniques
  • Object Oriented
  • Programming
  • Linear Data Structures
  • Trees
  • Advanced Data Structures
  • Dynamic Programming

6.Operating Systems

  • Introduction to OS
  • Process Management
  • Memory Management
  • Concurrency
  • Storage Management
  • Case Study: Linux OS

7.System Design

  • Architectural Patterns
  • Application Characteristics I
  • Application Characteristics II
  • Scaling Techniques
  • Database
  • Communication
  • Web Applications
  • Servers and Security

8.Database Management System (DBMS)

  • Introduction to DBMS
  • Data Modeling
  • Entity-Relationship Model
  • Relational Model
  • SQL
  • Normalisation
  • Transactions
  • Classification of Databases
  • NoSQL Databases
  • Database Optimisation

9.Generative Al

Build real-world applications using Generative Al tools
  • Foundations of Generative AI & Prompt Engineering
  • Hands-on with ChatGPT, Gemini & AI Coding Assistants
  • Secure Authentication System using AI (JWT, MongoDB, SDLC)
  • Full-Stack Social Media App using AI (React, Node.js)
  • Code Optimization, Testing & Deployment with GitHub Copilot
  • LangChain Fundamentals & Text Summarization
  • AI Interview Simulator (Resume Parsing, Question Generation)
  • End-to-End Project Deployment (Netlify & Render)

10.DevOps Essentials

Automate, deploy, and scale modern applications
  • DevOps Culture, Principles & Best Practices
  • CI/CD Pipelines for Automated Build, Test & Deployment
  • Docker & Containerized Application Deployment
  • Kubernetes for Container Orchestration
  • Infrastructure as Code Using Terraform

11.Progressive Web App (PWA) Development

Build fast, reliable, and offline-ready web apps
  • PWA Fundamentals & Architecture
  • Service Workers & Offline Capabilities
  • Lazy Loading & Code Splitting for Performance
  • Caching Strategies & Cache Versioning
  • Testing & Optimization of PWAs

12.Web3 Foundations

Understand blockchain and decentralized technologies.
  • Web3 Concepts & Ecosystem Overview
  • Blockchain Fundamentals & Consensus Mechanisms
  • Smart Contracts Using Solidity
  • Building & Deploying Decentralized Applications (DApps)
  • Cryptocurrency Fundamentals & Real-World Use Cases

Perfect For Data Science Career Starters

College
Students

Build projects for campus
placements.

Career
Switchers

No coding experience
needed – start from basics.

Working Professionals

Weekend batches so you can
up-skill while working.

Fresh
Graduates

Job‐ready in 8 months with a
strong portfolio.

Why Start2Skill Data Science > Others

Start2Skill

TOPIC 01

Live mentors with 1:1 guidance from 5+ years industry experts

TOPIC 02

Hands-on real projects with practical, job-ready skills

TOPIC 03

Dedicated placement help with structured interview preparation

TOPIC 04

Flexible batches (weekends + online) with job guarantee

VS
Mentorship
Real Projects
Career Support
Flexibility & Assurance

Others

TOPIC 01

Live mentors with 1:1 guidance from 5+ years industry experts

TOPIC 02

Recorded videos with limited or no real-world projects

TOPIC 03

Generic resume templates, no placement support

TOPIC 04

Fixed schedules with no job guarantee

Meet Your Experts Instructors

Ashutosh Sharma
Start2Skill
Senior Data Science Instructor, 10+ Years of Industry Experience
Rishu Raj Verma
Microsoft
Senior Data Scientist
Bhawana aggarwal
Accenture
Application Development Team Lead

Get certified by Start2Skill

Earn industry-backed

Recognition and Career Opportunities

Industry-Endorsed Certificate

Get certified upon course completion with a recognized
credential, validating your skills in Data Science andBusiness Intelligence.

Strong Peer Network

Become part of a thriving community of learners and
professionals from top companies.

Recognized Across Industries

Our certification is trusted by hiring managers across
domains—ideal for career switchers and freshers alike.

What Student Say

How You'll Learn" 4-Step Journey

Talk to a Program
Advisor

Book a free 1:1 counselling call

Enroll in the Right
Course

Get a plan matched to your goals & level.

Learn with Live + Hands-on Projects

Attend live classes and build r

Get Career Guidance & Placement Support

Resume, interviews & job referrals.

Frequently Asked Questions

Who are these courses for?”

These courses are designed for:

  • Students and freshers who want job-ready skills

  • Working professionals looking to upskill or switch careers

  • Freelancers who want to offer services confidently

  • Business owners who want to understand and manage digital work
    No prior experience is required for beginner tracks—advanced tracks may expect basic familiarity.

Yes, we provide placement support such as:

  • Resume + portfolio review

  • Interview preparation (mock interviews + common questions)

  • Job/internship guidance and referral support (where available)

  • LinkedIn profile optimization
    Note: Placement depends on your performance, attendance, project quality, and market conditions. We support you through the process, but we don’t guarantee jobs.

Duration and schedule vary by course, but typically:

  • Course duration: 4–12 weeks (depending on course level)

  • Class frequency: 3–5 sessions per week

  • Session length: 60–120 minutes per class

  • Weekend batches: Available for working professionals
    After enrollment, you’ll receive the full batch calendar and timeline.

We offer online classes (live instructor-led) and offline classes (at our center), depending on your chosen batch and location.
Some courses may also be available in hybrid mode (offline + recorded support).

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