AI&DS -
Powered By IBM

AI&DS -
Powered By IBM

The Bachelor of Computer Applications (BCA) with Artificial Intelligence and Machine Learning (AI/ML) specialization is a three-year undergraduate program designed to equip students with the necessary skills and knowledge to become proficient in the rapidly evolving fields of AI and ML. This program provides a comprehensive foundation in computer science principles, programming languages, and software development methodologies, along with in-depth exposure to the theoretical underpinnings and practical applications of AI and ML.
Through a blend of classroom instruction, hands-on laboratory work, and real-world projects, students gain expertise in various AI and ML techniques, including supervised learning, unsupervised learning, reinforcement learning, deep learning, natural language processing, and computer vision.

AI&DS – Powered By IBM

Duration: Three Years | Full Time

Eligibility: 12th Pass, Any Stream

Program
Highlights

Cutting-Edge Curriculum

  • Explore a dynamic curriculum that covers the latest trends and technologies in Artificial Intelligence and Machine Learning.
  • Gain proficiency in programming languages, data analysis, and algorithmic design essential for AI/ML applications.

Real-world Projects

  • Engage in hands-on projects to apply theoretical knowledge to practical scenarios.
  • Work on industry-relevant problems and build a strong portfolio showcasing your problem-solving skills.

Expert Faculty

  • Learn from experienced faculty members who deeply understand AI/ML technologies.
  • Benefit from their industry insights, research contributions, and personalized guidance.

Innovative Teaching Methods

  • Experience a blend of traditional lectures, interactive workshops, and online resources.
  • Collaborate with peers on group projects, encouraging teamwork and a supportive learning
    environment.

State-of-the-Art Labs

  • Access well-equipped labs with the latest software and hardware for AI/ML development.
  • Learn using industry-standard tools, gaining practical exposure to the tools used in the field.

What will you explore
as part of the program?

Fundamental Concepts

  • Understand the foundational concepts of AI, ML, and data science.
  • Explore statistical methods, probability, and linear algebra as the building blocks of machine learning algorithms.

Machine Learning Algorithms

  • Dive into supervised and unsupervised learning algorithms.
  • Explore decision trees, support vector machines, neural networks, and other advanced ML models.

Natural Language Processing (NLP)

  • Learn the principles and applications of NLP for language understanding and text analysis.

Computer Vision

  • Explore computer vision techniques for image and video analysis.
  • Understand object detection, image classification, and facial recognition.

Deep Learning

  • Gain expertise in deep learning architectures, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs).

How will you be taught?
  • Interactive Lectures
  • Workshops and Labs
  • Industry Webinars
  • Project Mentoring

Interactive Lectures

  • Engage in lively classroom sessions with expert faculty, delivering insightful lectures.
  • Participate in discussions, ask questions, and collaborate with peers.

Workshops and Labs

Industry Webinars

Project Mentoring

How you will spend your time

01

Classroom Learning

Attend engaging lectures to grasp theoretical concepts.

02

Lab Sessions

Apply knowledge in practical scenarios through lab sessions.

03

Group Projects

Collaborate with peers on group projects to tackle complex AI/ML challenges.

04

Self-Study

Dedicate time to self-directed learning using online resources and textbooks.

05

Industry Internship

Undertake internships to gain real-world experience and exposure to industry practices.