BCA in Artificial Intelligence and Machine Learning (BCA AI and ML)

The Bachelor of Computer Applications (BCA) with a specialization in Artificial Intelligence (AI) and Machine Learning (ML) is a three-year undergraduate program at Geeta University aiming at equipping students with a solid basis in computer science, complemented by specialized expertise in AI and ML technologies. The BCA AI and ML Course covers a curriculum like machine learning methods, deep learning, computer vision, natural language processing and robotics.

Learners gain the skills to design and execute AI and ML models to address practical issues, including picture and voice recognition, sentiment analysis, and recommendation systems. They get practical experience with significant AI and ML technologies and frameworks.

Focus areas include Fundamentals of computer science and mathematics, ML algorithms, decision trees, and neural networks, deep learning techniques, computer vision, Natural language processing, robotics and control systems, project work and hands-on experience in developing AI and ML models.

Important Takeaways

• BCA AI and ML Course is 3-year undergraduate degree and 4-year undergraduate degree with Honours
• Practical Exposure & Industry Connect
• Technology and Digital Integration
• Comprehensive Curriculum
• Infrastructure & Learning Environment

Geeta University BCA AI and ML Program – Subjects

The university is widely recognized as a leading engineering institution in North India owing to the fact that it offers a curriculum that is centered on the industry, superior facilities, and practical training. 

The subjects in a BCA AI and ML Course include:

• AI & Ethics Foundations
• Machine Learning Models
• Python for AI
• Natural Language Processing (NLP)
• Deep Learning & Neural Networks
• AI in IoT & Cloud
• Computer Vision Techniques
• Data Analysis using Python
• Industrial AI Projects (with Samatrix.io)
• Capstone Project & Internship

Learning Outcomes

• Develop and deploy AI applications
• Train and evaluate ML models
• Apply AI in real-world scenarios
• Work on projects using NLP and CV
• Use AI tools across platforms