Placement AssistanceIn association with NASSCOMTrending

Full-Stack Development with GenAI Honours Program

Become a Full Stack Developer with day-one job-ready skills - from SQL and Java to React, Spring Boot, and LLM integration.

Rating
4.6/5
Duration
31 Weeks
Mode
Online
Mentor-Led
40 Mn+ Alumni Network
97% of Eligible Learners Placed
CTC Range ₹5- ₹10.5 LPA

Program Overview

Program Overview

The Full Stack Development with GenAI Honours Program by NIIT is a future-ready program with placement assistance that empowers learners to become experts in full-stack development and generative AI, enabling them to build intelligent, next-generation applications. Through immersive hands-on projects, real-world simulations, and industry-aligned training, participants gain practical experience and job-ready skills that set them apart in the competitive tech landscape.

Mentorship
Learn From Experts
Hands-on
Build Real Projects
GenAI
Powered Creative Learning

Curriculum

Comprehensive curriculum to build in-demand tech skills and real-world expertise.

SQL Querying & Data Operations

Build strong hands-on skills to retrieve, analyze, and manipulate data using SQL, enabling you to extract meaningful insights and work effectively with real-world datasets.

Database Design, Integrity & Advanced Capabilities

Design structured databases using ER diagrams and define robust schemas while ensuring data consistency, and extend functionality through automation and support for modern data formats.

Activity

Concept Quiz and Assignments

Core Java Programming & Problem Solving

Apply Core Java fundamentals—variables, control flow, arrays, strings, recursion, and searching/sorting—to build efficient, program logic.

Object-Oriented Application Development

Apply object-oriented concepts and exception handling to design well-structured Java applications.

Activity

Concept Quiz and Assignments

Data Structures Implementation

Implement core data structures such as arrays, stacks, queues, linked lists, trees, and hash tables along with searching and sorting algorithms.

Algorithm Analysis and Optimization

Analyse time and space complexity and apply recursion and suitable data structures to solve performance-critical problems.

Activity

Concept Quiz and Assignments

Testing and Collections

Write unit tests and manage data using collections and generics for organized, reliable programs.

Modern Java Practices

Apply functional programming features to write concise, efficient code for data processing.

Activity

Concept Quiz and Assignments

Responsive Web Design & User Experience

Create visually appealing and responsive web interfaces by structuring content effectively and applying modern styling practices aligned with UI/UX principles.

Interactive Web Development & API Integration

Build dynamic, interactive web applications by handling user interactions and seamlessly connecting front-end interfaces with backend services through APIs.

Activity

Concept Quiz and Assignments

Component-Based UI Development

Build reusable and maintainable user interfaces using JSX, components, and props.

State, Interactivity & Data Handling

Create dynamic apps by managing state, handling interactions, and integrating APIs with React hooks.

Scalable, Styled & Tested Apps

Improve reliability with TypeScript, design responsive UIs using Material UI, and ensure quality through testing using Jest and RTL.

Activity

Concept Quiz and Assignments

Forms & Navigation in React Applications

Build and validate complex forms and enable seamless user journeys through efficient form handling and in-app routing.

Authentication, State Management & Performance

Implement secure access control and manage application state effectively using Context API while optimizing performance for production-ready apps.

Activity

Concept Quiz and Assignments

API Development and Testing

Design, build, and test RESTful APIs using Spring Boot with relational and NoSQL databases, including documentation and performance validation.

Scalability and Security

Enhance and secure services with pagination, filtering, microservices architecture, and authentication mechanisms.

Activity

Concept Quiz and Assignments

LLM Application Development

Build LLM-powered applications using Spring AI with text generation, prompt design, and structured outputs.

Context-Aware AI Systems

Enhance applications with conversational memory and Retrieval-Augmented Generation (RAG) for context-driven experiences.

Activity

Concept Quiz and Assignments

Full-Stack Application Development Project

Build, test, and integrate a non-trivial full-stack web application against a predefined real-world brief.

Project Presentation & Stakeholder Evaluation

Present and demonstrate the project to stakeholders for assessment on functional completeness, integration depth and design quality.

Activity

Learners choose one of six real-world scenarios and build a full-stack app with database, Spring Boot backend, React frontend, and at least one AI feature.

Tools & Technologies

Explore industry-relevant tools through hands-on learning to master practical, in-demand skills.

MySQL
MySQL
Java
Java
HTML5
HTML5
CSS3
CSS3
React
React
Spring Boot
Spring Boot
MongoDB
MongoDB
Git
Git
OpenAI
ChatGPT

Projects You'll Build

Build production-ready projects to showcase real-world skills and strengthen your portfolio.

HomeEase – Smart Home Service Management

HomeEase is a web platform that connects customers with verified local technicians, enabling service discovery, booking, job tracking, digital payments, and ratings to ensure reliable, transparent, and well-organized home maintenance services.

JavaReactSpring BootREST APIsMySQLGenerative AIMicroservices

MediReach – Medicine Donation & Redistribution Platform

MediReach provides a simple digital bridge between medicine donors and NGOs/clinics, allowing safe listing, verification, and redistribution of unused non-expired medicines to reduce waste and improve access for underserved communities.

JavaReactSpring BootREST APIsMySQLGenerative AIMicroservices

ResumeGenie – AI Resume Assistant

ResumeGenie leverages AI to guide users through resume creation, content improvement, and formatting, generating role-specific, professional resumes quickly while reducing manual effort and improving presentation quality.

JavaReactSpring BootREST APIsMySQLGenerative AIMicroservices

ShopSmart – Personalized Retail Loyalty System

ShopSmart enables local retailers to track customers, analyze purchase behavior, and offer personalized rewards and promotions, helping small shops build loyalty, improve retention, and compete effectively with large online platforms.

JavaReactSpring BootREST APIsMySQLGenerative AIMicroservices

SmartClinic – Appointment & Health Insights Platform

SmartClinic digitizes appointment scheduling and patient records, providing doctors with quick access to medical history and insights, improving consultation efficiency, reducing administrative burden, and enhancing overall patient experience.

JavaReactSpring BootREST APIsMySQLGenerative AIMicroservices

StayEase – Online Accommodation Booking Platform

StayEase centralizes PG, hostel, and rental listings, allowing users to search, compare, and book accommodations securely while enabling property owners to manage listings, availability, and tenant details efficiently.

JavaReactSpring BootREST APIsMySQLGenerative AIMicroservices

Boost Your Career Visibility

Showcasing a professional Capstone Project on your LinkedIn increases recruiter interest significantly. Build production-ready work that speaks for itself.

Learning Outcomes

Develop industry-relevant skills to create real-world solutions and advance your career.

Demonstrate proficiency in object-oriented programming using Java including advanced Java features

Build responsive & interactive web pages using HTML5, CSS3, and Bootstrap and modern JavaScript

Use SQL to Manage Relational Database Management Systems (RDBMS)

Create Single Page Applications with React

Build robust backend applications using Spring Boot and develop RESTful APIs

Build and integrate AI features into full-stack web applications using Spring AI, including conversational memory and Retrieval-Augmented Generation (RAG).

Solve real-world problems using data structures and algorithms with optimized time and space complexity.

Develop modern, maintainable Java applications using Streams, Lambdas, and unit testing frameworks like JUnit.

Create scalable React applications with intuitive navigation, dynamic forms, and secure authentication.

Deliver a production-ready full-stack capstone integrating database, backend, frontend, and AI capabilities.

Industry Salary Growth

Accelerate your career with strong salary growth across India.

Download Career Report

Select Experience Level

Salary Growth

Annual Packages
₹3 LPAMin
₹4.5 LPAAvg
₹6 LPAMax
* These figures are indicative and sourced from industry reports and job market data. They do not represent a guaranteed outcome of completing this program. Data updated as of 2026.

Currently Hiring Companies for this role

* All company names, logos, and trademarks used on this website are the property of their respective owners. Use of these names, trademarks, and brands does not imply endorsement, sponsorship, or affiliation.

Industry-Recognized Certification

Certificate of Completion

This is to certify that

Student Name

Has successfully completed the Full-Stack Development with GenAI Honours Program

Signature

Date

Earn a trusted NIIT professional certificate.

Global Recognition

Accepted by leading employers and organizations worldwide.

Easy Sharing

Add your certificate to LinkedIn, resumes, and professional portfolios.

Career Value

Demonstrates practical skills aligned with industry needs.

Placement Assistance

Dedicated placement support with industry connections and recruiter interactions.

Up to 3 placement opportunities within 120 days of joining the Placement Bank
Career guidance with personalized counseling and mock interview preparation
Resume building & LinkedIn profile optimization
Client briefings with Git profile development and industry connect sessions
Alumni connect sessions for networking

Placement Assistance Policy

Dedicated placement assistance with leading industry hiring partners. Refer to the FAQ and T&C sections for placement eligibility details.

97%
Placement Rate
800+
Hiring Partners

Our Hiring Network

800+ Top Recruiting Companies
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Tata_Consultancy_Services_old_logo.svg.png
Infosys_logo.svg.png
HCL_Technologies_logo.svg.png
HDFC_Bank_Logo.svg.png
sentienz.png
partner_sprites1.png
Finolex-Logo.jpg
Accenture_logo.svg.png
* All company names, logos, and trademarks used on this website are the property of their respective owners. Use of these names, trademarks, and brands does not imply endorsement, sponsorship, or affiliation.

Data-Driven Learning, Delivered with Quality

Experience a data-driven learning ecosystem with measurable progress.

Structured Learning Roadmap

Clear learning pathways delivered through our LMS with defined milestones and module progression.

Learner Connect Sessions

Regular live mentor interactions to resolve doubts, reinforce concepts, and maintain engagement.

AI Assisted Faculty Quality Monitoring

AI-assisted faculty performance analysis ensures consistent teaching quality and delivery excellence.

Program Performance Report

Track attendance, assignments, assessments, quizzes, and overall performance with structured progress tracking.

Meet Your Mentors

Learn from Industry Experts and Experienced Professionals.

Rajeswara Reddy Munnam

Rajeswara Reddy Munnam

Mentor

NIIT Limited

Rajeswara Reddy Munnam is an accomplished NIIT Mentor for the Full Stack Software Engineering Program and the IT SysAdmin & Cloud Computing Advanced Program, bringing over 18 years of experience in mentoring graduates, undergraduates, and working professionals. With deep expertise across enterprise technologies, cloud, cybersecurity, databases, and modern AI tools, he combines strong conceptual grounding with hands-on, project-based learning that mirrors real-world challenges. Backed by global certifications from Microsoft and Cisco and recognized with NIIT’s Inspiring Mentor Award and Award of Excellence, Rajeswara is widely respected for his engaging, learner-focused training style. Passionate about continuous learning, he empowers learners not just to be job-ready, but to build sustainable, future-ready technology careers

4.7(Excellent reviews)
Sangeetha B

Sangeetha B

Mentor

NIIT Limited

Sangeetha B is a Seasoned Mentor at NIIT, with over 15 years of experience in Training, Content Development and Academic Leadership. With a strong technical foundation and a learner-first mindset, she has mentored thousands of students, guiding them to master technology skills and successfully transition into rewarding IT careers. A B. Tech graduate in Information Technology, Sangeetha’s technical expertise spans Java (Servlet, JSP, Struts, WCD), Python, C, C++, .NET (ASP.NET, C#.NET), PHP, Big Data (Hadoop, MapReduce, Ecosystem tools), Databases (SQL Server, MongoDB, Oracle, MySQL, SQLite, MS Access), and Web Development (HTML, CSS, JavaScript). Sangeetha is known among her students as a favorite mentor, appreciated for her ability to understand learners’ mindset. Many alumni attribute their success to her consistent guidance, practical insights, and motivating teaching style.

4.7(Excellent reviews)
Rohit Kumar

Rohit Kumar

Senior Mentor

NIIT Limited

Rohit Kumar is a Senior Mentor at NIIT with over 13 years of experience in Data Science, Machine Learning, Python, and Full Stack Development. He is known for making complex topics easy to understand and apply in real-world scenarios. His expertise spans across Full Stack Development, Data Analytics, Machine Learning, Big Data, Cloud Computing, Blockchain, and AI-driven applications and he holds multiple globally recognized certifications. He is also an Enterprise Design Thinking Practitioner and a published researcher in image encryption and security algorithms, reflecting his strong analytical and problem-solving skills. Through hands-on projects, real-world datasets, and continuous guidance, he helps learners build confidence and become job-ready technology professionals.

4.8(Excellent reviews)

Frequently Asked Questions

Find answers to your queries about the program, curriculum, and admissions.

Candidates with a minimum of 50% in Class X, XII, and graduation are eligible to apply. Undergraduates must maintain at least 50% marks until the final year and achieve a minimum 50% aggregate upon graduation. The program is open to MCA, M.Sc IT, BE/B.Tech, BCA, B.Sc (Physics, Chemistry, Maths, Statistics, CS, IT), and B.Com (IT, CS, Maths, Statistics) graduates.

Admission to the program is direct. Eligible learners can apply by filling out the online application form, submitting the self-declaration and accepting the terms and conditions, and paying the program fee. Admission is confirmed once the payment is successfully completed.

The program follows NIIT’s Mastery Learning methodology, focusing on building one skill at a time through structured, hands-on sprints. Each sprint includes concept introduction through live mentor sessions, individual practice and assignments, mentor review and feedback, and refinement with re-submission of work. Learners typically spend around 4 hours per sprint, with most of the time dedicated to hands-on application and reflection

Graduates of the Full-Stack Development with GenAI Honours Program will be prepared for entry-level software engineering roles with practical skills in full-stack web development, databases, APIs, Java, React, and Generative AI integration. They will be able to build responsive web applications, develop backend services, integrate AI-powered features, and deploy applications on cloud platforms. Typical entry roles include Full-Stack Developer, Software Developer, Web Application Developer, Backend Developer, and Junior AI-enabled Application Developer.

Taking a loan is entirely optional. Loans are facilitated by third-party lenders, and NIIT has no role in the process. Applicants must review the loan terms carefully, including EMIs, interest rates, processing fees, and repayment schedules. All EMI payments and related queries must be handled directly with the lender.

Documents may include PAN Card and Aadhaar Card, last 6 months’ bank statements, 3 months’ salary slips (for employed learners) or ITR proof (for self-employed), and co-applicant details if the learner is under 21 years of age. Incomplete documentation may result in loan rejection.

Learners need a laptop or desktop with Intel i3 or AMD Ryzen 3 (or higher), at least 8 GB RAM, and 50 GB free disk space, along with a functional webcam and microphone. The system should run Windows 10 or macOS (or higher) with the latest Chrome or Edge browser, MS Office or equivalent tools, and a PDF reader installed. A stable Wi-Fi or broadband connection with a minimum speed of 5 Mbps is required, and a backup internet connection is recommended.

Yes, learners receive a digital certificate after successfully completing the program and meeting all the required conditions (overall performance score, attendance, payment clearance etc).

Placement support is offered based on the learner’s profile and eligibility. Learners eligible for Placement Assistance may receive up to a defined number of selection opportunities within 120 days of joining the Placement Bank, subject to criteria such as minimum 70% overall score, graduation, age below 28 years, and stream eligibility as per the Program Eligibility table. Final year undergraduate learners will become eligible only after completing graduation, where applicable. Support also includes three personalized coaching connects, end-to-end assistance during placement drives, and 7 Placement Preparation Module sessions covering interview preparation, aptitude, digital profile building, corporate etiquette, personality development, industry talks, and alumni talks. Learners aged 28 years or above will be eligible for Career Support, which includes access to relevant lateral opportunities through the Alumni forum for up to 120 days, based on hiring demand and role fit. Final selection depends on the learner’s preparation, participation, and performance in the hiring process.

Hassle-Free Refund Policy

Your satisfaction is our priority. We offer transparent refund terms for your peace of mind.

100% Money-Back Guarantee

Full refund (excluding the booking fee) if you cancel before the batch starts

Quick Refund Review

Eligible refund requests are carefully reviewed within seven working days

Transparent Refund Timeline

Approved refunds are completed within 45 days for timely settlement

Important: Enjoy a transparent refund policy. Cancel 48 hours before the class start date to be eligible for a refund if you haven’t attended any class.

Duration31 Weeks
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₹104,500
₹1,10,000

Exclusive of 18% GST

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