The PG Diploma in Artificial Intelligence and Machine Learning, a one-year duration program offers outcome-based education with Choice Based Credit System by the School of Computing and Information Technology. The aim of this program is to prepare a professionally competent student with technological leadership skills ready to work in a multidisciplinary work environment across the globe. The main objective of this course is to nurture the students to make them industry ready by exposing them to the state-of-the-art technologies in Artificial Intelligence and Machine Learning (AI & ML), backed by a strong foundation in Science and Engineering.
AI & ML are driving digital disruption and enabling us to utilize the power of machines for intelligent automation. The potential is infinite. It informs business decisions, optimizes operations, and drives outcomes of leading companies. With the diploma program, you will become equipped to work on the design, development, and operation of software solutions involving AI and ML across a broad range of industry sectors. Delivered by the best minds in the field, this course gives you the specialist knowledge and adaptability to move to the forefront of AI transformation. You'll gain hands-on experience with up-to-date technologies that are backed by sound training in fundamental concepts, models, and methods.
In this rigorous and challenging course, you’ll explore practical components of developing AI apps and platforms and understand the role that ethics and social responsibility play in the future of technology. Students with a proficient background in mathematics will thrive, as this diploma requires strong problem-solving and analytical skills.
AI & ML courses will nurture and transform you into a highly skilled professional thus helping you land a high-paying AI-ML job. Get hands-on exposure to industry-level assignments and projects with this top-notch Artificial Intelligence course.
This AI ML certification course is ideal for working professionals with programming knowledge. It covers key concepts like Statistics, Machine Learning, Deep Learning, Natural Language Processing, and Reinforcement Learning. This program is delivered through our interactive learning model with live sessions by global practitioners, labs, and industry projects.
Unlock your potential as an AI and ML professional with our PG Diploma in AI and ML program. You will learn about various AI-based technologies, including Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Speech Recognition, and Reinforcement Learning.
With over 1.5 million engineers graduating every year from engineering institutions and the ever-growing pace of changing industry skill demands, this PG diploma course will respond to the industry skills at the same pace as demanded by the industry. The PG Diploma in AI & ML aims to prepare professionals for Artificial Intelligence and Machine Learning roles and job opportunities. The job-ready programme with a cutting-edge curriculum developed in consultation with leading industry and faculty experts opens up well-paid employment. The curriculum incorporates a complete study of AI & ML and is suitable for working professionals as well as graduates who want to upgrade their skills. The hands-on immersive learning, case studies, and assignments using high-end tools are sure to give a head start. The instructors from reputed universities will give a global perspective to the course and will ensure industry readiness.
Research Areas in Al & ML
The research scope of Artificial Intelligence and Machine Learning in India is to find smart solutions to modern problems in almost all the major sectors such as Agriculture, Healthcare, Education and Infrastructure, Transport, Cyber Security, Banking, Manufacturing, business, Hospitality, Entertainment. Artificial Intelligence has immense potential to change each sector of the economy for the benefit of society. There is not just one technology under AI, but there are various useful technologies such as self-improving algorithms, machine learning, big data, and pattern recognition in some of the most recent research areas like;
- Machine Learning
- Deep Learning
- Reinforcement Learning
- Natural Language Processing
- Computer Vision
- Recommender Systems
- Internet of Things