Before diving into machine learning and artificial intelligence (AI) forecasting in e-learning, it is essential to understand the necessity of these technology-based approaches. First things first: Machine learning is a sub-division of artificial intelligence. It includes algorithms that predict possible outcomes based on user data. The system identifies specific patterns and trends, then learns from the data to provide more personalization. Every new piece of information the program receives makes it more comfortable. The entire process happens autonomously, from extracting data sets from the Learning Management System and evaluating them to predicting what online learners need to be based on their past performance.
Bachelor of Computer Applications (BCA) specializing in Artificial Intelligence and Machine Learning is a professional course that equips students with all the essential technologies required to become a competent AI and Machine Learning specialist. TIPS -G has recently launched BCA Artificial Intelligence & Machine Learning in Jaipur. This newly updated course provides the latest Artificial Intelligence and Machine Learning techniques. This course introduces students to the basic concepts of AI, machine learning, algorithms, and their practical implementation in theory and practice. Students learn AI through a range of creative methods and techniques.
Key Highlights: Online BCA in Artificial Intelligence & Machine Learning
The curriculum of the program is designed by industry experts.
The program provides both theoretical and practical understanding to students.
The program covers the essential topics of Artificial Intelligence & Machine Learning and is designed to provide insights into the industry.
The average fee of the online BCA in AI & ML is between Rs. 1,00,000 and Rs. 2,00,000.
Fundamentals of Computer
( Python Programming )
Basic Computer Operations
Basics of Networking
Understanding of Operating System
OOPS Programming using C++ / C
Web Dev using HTML/CSS
Introduction to RDBMS
Project Based Learning
Dev Tools ( docker, github,
Kubernetes, AWS, GCP & Azure )
Working with Rest APIs API
Development & Implementation