Warangal: NIT Warangal, through its Center for Continuing Education, is offering a 5-day online course on artificial intelligence, machine learning and deep learning applications. The course is open to both interested students as well as industry professionals. While the course will cost Rs 500 for students, professionals will have to pay Rs 1000. Upon successfully completing the course, participants will be given e-certificates.
What the NIT Warangal Online Course on Artificial Intelligence Will Cover?
The Sessions will be handled by the experts from IITs, NITs/, IITs, Central University or software industry professionals. The course is basically aimed at helping participants understand the following concepts:
- Basics of artificial intelligence, machine learning and deep learning, supervised and unsupervised algorithms.
- Working with data preprocessing and data visualization using python.
- Supervised learning like regression, unsupervised machine learning algorithms like SVM, and KNN among others.
- Deep learning techniques like single and multi-layer perceptron, and LSTM.
- Introduction to artificial intelligence, machine learning tools and techniques, simple and multiple linear regression.
- Neural networks and multilayer perceptron, and back propagation CNN applications.
- Heuristic and metaheuristic techniques in artificial intelligence.
- Advanced research applications in machine and deep learning.
- Time series forecasting.
Who Can Take the NIT Warangal Online Course on Artificial Intelligence?
The course is open to the following participants:
- Faculty.
- Research scholars.
- Industry professionals.
- MCA.
- MBA.
- Degree students.
- Polytechnic and other eligible students.
How to Apply for NIT Warangal Online Course on Artificial Intelligence?
Interested and eligible candidates will have to submit their application through the dedicated Google Form before 31 March 2023. Once the payment is done, participants will be considered as registered, and the confirmation email will be sent two days before the course begins. There are a total of 300 seats available and participants will be admitted on a first come first serve basis.
