Engage with experts using interactive, technology-enabled virtual classrooms
Gain from recorded lectures, programme handouts, and recorded lab content
Co-Developed Co-Designed Co-Delivered by Industry Experts
It allows learners to apply concepts learnt in classroom in real work situations
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
Polytechnic Diploma in Engineering with having minimum 50% marks or its equivalent
Minimum one year of work experience.
Specialization: AI & Machine Learning
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 |
Live & Recorded Lectures
Cutting Edge Tutorials.
Continuos Assessment
Multimedia Resources
Lectures through LMS
E-Examinations
Peer Assessment
Insights from industry experts
Counseling through Experts
Resume Buidling
Networking with larger community of professionals
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.