NSE - NSE TalentSprint - Full Stack Developer Program

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NSE TalentSprint - Full Stack Developer Program
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Naukri Learning
Overview

NSE TalentSprint - Full Stack Developer Program

Table of contents

Freshers with exceptional capabilities can command from INR 6LPA-10LPA for Python+Data Science Stack, INR 4LPA to 7LPA for Python Stack or Java Stack
PractitionerÂ?s Curriculum including Masterclasses, Projects, 1:1 Mentoring, Projects, and Hackathons
Interactive Instructor-led Classes on an AI-based Pracademic Platform for Immersive Learning
12-Month 0% EMI available for fee payment
Be a part of the Placement Drives with leading tech companies with a strong Digital Profile
Alumni work in leading organizations like Amazon, Accenture, Netrich, NTT Data, Infosys, Adobe, Virtusa, DXC Technologies, Wipro, Broadbridge, TCS, Tech Mahindra, ADP, Goldman Sachs, Capgemini, and many more.

Skills you will learn

Who should do this course?

Looking to launch a career in the IT industry
Interested to launch their careers in Programming, Java, and Data Science domain

More about this course

Full Stack Developers have long held an important place in the software development sector. Their wide-ranging knowledge allows them to be flexible and agile, which is essential for creating seamless software products that will command market dominance.
With the growing number of online platforms and digitally driven businesses, the demand for full-stack developers has been rising in recent years. NASSCOM predicts that by 2025, the Indian IT/ITeS Industry will witness addition of nearly 2.5-3 million jobs for aspirants. This clearly shows that demand for software development jobs in the coming years is here to stay.
The Certified Full Stack Developer Program enables students and young graduates to build interactive and responsive web applications using front-end and back-end technologies. Designed and delivered by TalentSprint, an NSE Group Company, the program offers the choice to choose from Java Stack, Python, or Data Science as per your preferred stream.