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klu
KL University

The Koneru Lakshmaiah Charities was established as a trust in the year 1980 with its official address at Museum road, Governorpet, Vijayawada, Andhra Pradesh 520 002 and started KL College of Engineering in the Academic year 1980-81. KL Deemed to be University was established in 1980-81, as KL College of Engineering, which was upgraded to KL College of Engineering Autonomous in 2006 by UGC, and was declared as a Deemed to be University in 2009 by UGC, MHRD Govt.of India. In 2012 as a Deemed to be University the institution was accredited by NAAC with A Grade and later in 2018, was re-accredited by NAAC with A++ grade. In 2019 UGC, MHRD declared this institution as Category I Institution.

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NAAC Accredited
By A++ Grade

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#1 university by UGC

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42 years leading in education

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#27 university - NIRF 2022

M-Tech with Full Stack Development

(Master of Technology)

Overview

The Full Stack Developer program at 42 Learn is a comprehensive training program designed to provide students with a well-rounded education in the field of web development. Our program offers a unique blend of theoretical knowledge and hands-on practical experience, equipping students with the skills necessary to thrive in the dynamic world of technology.


At 42 Learn, we understand the importance of a holistic approach to learning. The Full Stack Developer program incorporates a wide range of topics, including front-end development, back-end development, databases, server management, and more. This comprehensive curriculum ensures that students gain a deep understanding of the entire web development stack, enabling them to create robust and scalable applications.

M-Tech with Enterprise Software

(Master of Technology)

Overview

The Enterprise Software program at 42 Learn is a comprehensive training program that offers a deep understanding of enterprise software development and implementation. This unique course equips students with the knowledge and skills to excel in designing, developing, and managing software solutions for large-scale organizations.


Embark on an exciting journey in enterprise software development with the Enterprise Software program at 42 Learn. Gain the knowledge, skills, and hands-on experience necessary to become a sought-after professional in the rapidly evolving software industry. Experience our comprehensive curriculum, practical approach, and supportive community that will set you on the path to success.

B.Tech with Data Science

Overview

The B.Tech Data Science program at 42 Learn boasts a team of exceptional professors who bring their extensive industry experience and deep subject knowledge to the classroom. These best-class professors are experts in the field of data science, ensuring that students receive a top-notch education. They impart practical insights, cutting-edge techniques, and industry-relevant knowledge, equipping students with the skills required to excel in the data science industry.


42 Learn provides unparalleled placement support to its B.Tech Data Science students. With a dedicated placement cell, students receive 100% assistance in securing job placements. The placement cell organizes recruitment drives, invites industry experts for guest lectures, conducts mock interviews, and offers career counseling, empowering students to confidently navigate the job market. Through these initiatives, 42 Learn establishes strong connections with leading companies, opening doors to lucrative employment opportunities for its students.

B.Tech with Artificial Intelligence

Overview

At 42 Learn, the Artificial Intelligence (AI) program offers a comprehensive overview of the field with a focus on cutting-edge technologies and practical applications. Students benefit from a team of expert professors who bring their industry experience and deep understanding of AI to the classroom, providing a top-class education.


The AI program at 42 Learn covers a wide range of topics, including machine learning, natural language processing, computer vision, and robotics. Students gain a solid foundation in AI principles and techniques, learning to develop and implement intelligent systems. They acquire practical skills in areas such as data preprocessing, algorithm selection, model evaluation, and optimization.

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