The aim of this course is to provide a basic proficiency in applying Machine Learning methods and artificial Intelligence in practice. The three-day program aims to develop competence and skill in AI and ML for participants. With case studies and demos, the participant will develop a practitioner’s understanding of applicability, limitations and suitability of various techniques to a variety of problems they are likely to face in their work environments. It will involve demonstrations and implementation on cloud platforms or local systems using Python. The program gives a firm foundation in the domain by covering the most popular and widely used AI & ML technologies and applications including Machine Learning, Deep Learning, Neural Network, and Artificial Intelligence.
The objective of the course is to provide participants with a basic concept of machine learning technology related to artificial intelligence. Participants would understand the basic theory of machine learning, classifiers, neural networks, and artificial intelligence and gain a firm exposure to popular AI & ML technologies. Participants would develop basic capability to develop ability to choose the appropriate ML model to independently solve problems using AI & ML. Participants would also understand how popular AI & ML technologies like Python can be used to develop