AI & ML Course for Working Professionals
part time B.Tech in AI & ML Engineering Course

ACCELERATE YOUR CAREER GROWTH

UGC
UGC
AICTE
AICTE

B.Tech Lateral Entry CSE in AI & ML Engineering Flexible Timing Work Integrated Program

The three-year undergraduate engineering program, known as B.Tech Lateral Entry in Artificial Intelligence (AI) & Machine Learning (ML), is intended for students who have earned a diploma or completed the first or second year of a B.Tech program in a related discipline. The primary goal of the course is to gain in-depth knowledge of AI algorithms, data science, deep learning, and intelligent systems.

Applicants may be admitted straight to the second year (third semester) of the program if they have earned a three-year diploma in computer science, information technology, electronics, or a similar discipline.

The major goal of the B.Tech Lateral Entry-AI & ML program is to increase career growth prospects in cutting-edge fields by empowering diploma holders to advance their credentials and move into full-fledged engineering employment in the quickly expanding AI & ML domain.

Natural language processing (NLP), computer vision, reinforcement learning, machine learning algorithms, deep learning, neural networks, artificial intelligence, and expert systems are just a few of the fundamental topics in AI and ML that can help you further your career. Python, TensorFlow, PyTorch, R, Scikit-learn, Keras, and other tools and technologies are also available for you to learn. One of the most in-demand tech jobs in the world, with competitive pay and worldwide potential, is a B.Tech Lateral Entry in Artificial Intelligence (AI) & Machine Learning (ML). Multiple IT and software firms, finance, healthcare, factory automation, robotics, e-commerce, autonomous cars, and research labs can all benefit greatly from lateral entry BTech part time degree course.

Benefits of Flexible Timing Part-Time B.Tech in AI and ML Engineering Course for Working Professionals

  • Study –Work Balance: Professionals are allowed to continue working without interruption and to accomplish their career ambitions.
  • Location Flexibility: The online learning style is simple and handy for students from various geographic locations.
  • Customizable Pace: Participants can adjust their learning capacity while working to meet the demands of their jobs.
  • Interactive Learning: Virtual tools, forums, and mentoring can be used to solve real-world building difficulties in a collaborative environment.

B.Tech Lateral Entry – AI & ML program is designed with a Work Integrated Learning approach, ensuring professionals can seamlessly balance their education and career commitments.

Why Choose B.Tech in AI & ML Engineering Online Evening Program in India

For working professionals, diploma holders, and career changers who want to obtain an authorized engineering degree in the highly sought-after field of AI & ML without compromising their jobs or other responsibilities, the B.Tech Lateral Entry-AI & ML Online Evening Program in India is the best option. Technical and managerial abilities in the field of information technology are fostered by the online evening course B.Tech Lateral Entry-Data Science. The worldwide recognition of a B.Tech in AI & ML enables career progression both within and outside of India.

The most practical choice for working professionals is flexibility, which enables them to continue working while they study or work by taking classes on the weekends or in the evenings. There is no need to move or go to classes in person when you use the online option. Perfect for technicians, IT support personnel, and diploma engineers looking to develop in their careers. Enrolling in an online evening program for B.Tech Lateral Entry-AI & ML in India would allow you to learn about cyber defence technologies, further your profession, and obtain a distinguished degree. Additionally, you can keep working and attending to other responsibilities.

  • Programme Features
  • Programme Structure
  • Eligibility
  • Learning Methodology
  • Fee Structure
    • B.Tech. CSE-AI & ML is a Working Professional Programï, recognized by UGC.
    • The programme is of six semesters, with classes conducted on weekends or after business hours.
    • Contact-less and safe exams facility.
    • Lectures are delivered by faculty members and experienced industry professionals.
    • The Dissertation in the final semester enables students to apply concepts and techniques learnt during course work to solve current environmental problems.
    • The programme uses a Continuous Evaluation System that assesses the learners over convenient and regular intervals. Such a system provides timely and frequent feedback and helps busy working professionals stay on course with the programme.
    • Participants who successfully complete the programme are awarded with Bachelor’s Degree in CSE-AI-ML.
Programme Structure

B.Tech AI & ML – Semester-wise Course Structure

3rd semester4th semester5th semester6th semester7th semester8th semester
Introduction to AI Introduction to Machine Learning Software Engineering Web Technology Deep Learning Techniques Artificial Intelligence and Machine Learning in Health care and Agriculture
Data Structure Design and Analysis of Algorithm Internet of Things Computer Graphics and Multimedia Digital Image Processing and Pattern Recognition Departmental Elective Course-5
  • Soft Computing
  • Data Compression
  • Software Quality Testing
Database Management System Operating Systems Computer Networks Data Mining Analytics Departmental Elective Course-4
  • Constitution of India / Essence of Indian Traditional Knowledge
  • Software Project Management
  • Web Applications Using MLT
  • Microprocessor
  • Geographical Information System
Project Part-II
Theory of Automata and Formal Languages Computer Organization and Architecture Departmental Elective Course-1
  • Compiler Design & Architecture
  • Human Computer Interface
  • Mobile Computing
Departmental Elective Course-3
  • Parallel and Distributed Computing
  • Neural Network
Digital Image Processing and Pattern Recognition Lab  
Digital Logic and Switching Theory Conversational AI Departmental Elective Course-2
  • Natural Language Processing
  • E-Commerce & ERP
  • Unix and Shell Scripting
Web Technology Lab Internship Assessment  
Data Structures Lab Blockchain Technology Software Engineering Lab Computer Graphics and Multimedia Lab Project Part-I  
Database Management System Lab Design and Analysis of Algorithm Lab Internet of Things Lab Data Mining Analytics Lab    
Digital Logic and Switching Theory Lab Operating Systems Lab Computer Networks Lab      
  MATLAB Internship Assessment      
Eligibility
    1. Working Professionals with Diploma in Engineering having minimum 45% marks or its equivalent.

    2. At least one year of work experience.
  • Live & Recorded Lectures with cutting-edge tutorials.

    Live & Recorded Lectures with cutting-edge tutorials.

  • Interact and Collaborate with Peers and Faculty

    Interact and Collaborate with Peers and Faculty

  • Online Mentoring

    Online Mentoring

  • Use of Multimedia and Open Educational Resources

    Use of Multimedia and Open Educational Resources

  • Flipped' Classrooms

    Flipped' Classrooms

  • E-portfolio & Peer Assessment

    E-portfolio & Peer Assessment

  • Work Integrated Advantage

    Work Integrated Advantage

  • Experiential Learning

    Experiential Learning

  • Academic & Industry Mentorship

    Academic & Industry Mentorship

  • Continuous Assessment

    Continuous Assessment

  • Dissertation/Project Work

    Dissertation/Project Work

    • Application Fees (one time) : INR 1,000
    • Semester Fees (per semester) : INR 40,000
    • Examination Fees (per semester) : INR 1,000

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