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Program Highlights



Eminent Faculties

Engage with experts using interactive, technology-enabled virtual classrooms

Anytime Learning

Gain from recorded lectures, programme handouts, and recorded lab content

Industy Endorsed

Co-Developed Co-Designed Co-Delivered by Industry Experts

Experiential learning

It allows learners to apply concepts learnt in classroom in real work situations





Programme Overview

The field of artificial intelligence and machine learning harbors a wide range of opportunities all around the world. Numerous advancements are shaping the world and there are still many innovations that are yet to come forth in this particular field. As Artificial Intelligence is taking over manual work all around the world, the career scope in this sector is expanding day by day.B. Tech-AI & ML has become one of the most sought-after programs in the modern world owing to its promising and remunerative scope. Since this degree has applications across fields and industries, the opportunities expand manifold. With this B. Tech Artificial Intelligence and Machine Learning degree, the students can gain theoretical and practical knowledge and can utilize this knowledge to shape various career opportunities.

A comprehensive curriculum, extensive emphasis on experiential learning using remote and cloud labs and a flexible education methodology that enables working professionals to acquire a prestigious engineering degree while pursuing their careers, theB. Tech-AI & ML is just the right programme for career growth in the software industry.

Six Semesters spread over Three Years





Batch-Size of 20 learners per branch





Skills and techniques to overcome problems related to new technologies across Globe





Prepares Learners to be suitable for various senior roles of IT Sector





Degree Awarded from UGC recognised Universities





Virtual Labs

Qualification:

Polytechnic Diploma in Engineering with having minimum 50% marks or its equivalent

Minimum one year of work experience.

Specialization: AI & Machine Learning



Current Batch Companies





Programme Structure


SEMESTER III SEMESTER IV
Digital Logic Design Operating Systems Lab
Object Oriented Programming in C++ Python Programming Lab
Database Management Systems Design and Analysis of Algorithms
Probability and Statistics Java Programming
Scripting Languages Lab Operating Systems
Database Management Systems Lab Computer Organization
SEMESTER V SEMESTER VI
Computer Networks Big Data Analytics Lab
Data Warehousing and Data Mining Cloud Computing
Artificial Intelligence Software Architecture
Distributed Databases Data Visualization
Data Science with R-Programming Software Engineering
Web Technologies Big Data Analytics
R-Programming Lab Machine Learning
SEMESTER VII SEMESTER VIII
Cryptography and Network Security Fundamentals of Management and Entrepreneurship
Neural Networks and Deep Learning Real Time Operating Systems
Compiler Design Cyber Forensics
Image and Video Processing Green Computing
Multi Media Applications Computer Graphics
Software Testing Methodologies Soft Computing
Deep Learning Lab using Python Project Work


LEARNING PEDAGOGY



Convenient learning

Live & Recorded Lectures

Cutting Edge Tutorials.

Continuos Assessment


E-Tutoring

Multimedia Resources

Lectures through LMS


Online Assessment

E-Examinations

Peer Assessment

Insights from industry experts


Online Mentoring

Counseling through Experts

Resume Buidling

Networking with larger community of professionals

eDIGI Advantages

Job Fairs & Networking Events

eDIGI organizes regular events in key cities every few months for Working Professionals to explore current and upcoimg opportunities for growth

Extended Career Support

eDIGI offers career support services to learner through-Career Coaching, Personalised Mentorship, Mock Interviews etc.

Resume Building Support

eDIGI also helps Learner on building Resume to Impress Recruiters by providning tips on showcasing skills & achievements professionally.

Comprehensive Content

eDIGI provides Best-in-class and engaging content by leading faculty and industry leaders in the form of videos, cases and projects.
Affiliations

Our Academic Partners

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Disclaimer*

eDIGILEARN does not grant credit; credits are granted, accepted or transferred at the sole discretion of the relevant educational institution offering the diploma or degree. We advise you to enquire further regarding the suitability of this program for your academic and professional requirements before enrolling. eDIGILEARN does not make any representations regarding the recognition or equivalence of the credits or credentials awarded, unless otherwise expressly stated.