PG Certificate in Artificial Intelligence & Machine Learning

Employed professionals holding BE/ B.Tech. or equivalent, and working in relevant fields are eligible to apply. Candidates holding M.Sc. in Mathematics or Statistics, and working in relevant roles are also eligible to apply to this programme. A working knowledge of languages such as Python is recommended.

Yes. The qualification will provide you the prestigious BITS Pilani Alumni status, through which you will become member of an elite & global community of BITS Pilani Alumni.

a. A unique and specialised programme in Artificial Intelligence and Machine Learning that helps participants gain deep conceptual understanding and the skills that are highly valued by the industry

b. A rich & flexible learning methodology allows one to pursue the programme without any career break.

c. Engaging digital learning experience that involves expert lecture videos, assignments, online live classes and discussion forums. In addition you will also be able to clear your doubts through periodic live sessions with faculty and active online discussion forums.

d. The programme includes a 8-week rigorous project under the guidance of BITS Pilani faculty members and senior industry practitioners

e. The programme includes two Immersion modules of 2-days each at a BITS Pilani Campus or Online.

Participants will be expected to devote 8-10 hours each week to fully benefit from programme. You will be able to engage with lecture videos, complete periodic assignments, and interact with the cohort through discussions forums for a rich academic experience.

Programme participants will be able to engage with instructors to clear their academic doubts: a. Periodic Contact sessions with instructors will help you to clear your doubts and seek answers. b. BITS Pilani faculty members and Teaching Assistants will be available through discussion forums and email. c. Discussion forums will help you interact with other participants to seek an offer support.

During the 8-week Capstone Project, participants will work in teams to design and solve a real-world business problem encompassing data science pipeline using AI&ML techniques. Participants will be required to identify applicable AI and ML solutions, and apply these solutions to arrive at outcomes. Through each phase of the project, participants will be mentored by BITS Pilani faculty members and senior Industry practitioners using a rigourous and structured framework, and will receive regular feedback on their progress. Your project work is the showcase to the industry of your expertise in the domain of AI & ML.

Employed professionals holding BE/ B.Tech. or equivalent, and working in relevant fields are eligible to apply. Candidates holding M.Sc. in Mathematics or Statistics, and working in relevant roles are also eligible to apply to this programme. A working knowledge of languages such as Python is recommended.

With the huge amount of available data, industries are now inspired to move towards data driven decision making and hence there is a huge demand for experts in the area of Machine Learning and Artificial Intelligence. The demand for these skills has been increased by their widespread applications in industries such as Retail, Banking and Manufacturing. Therefore it is no surprise that the skills in these areas are the most sought after. BITS Pilani has studied the skills required for popular Data Science related roles such as Data Scientist, Machine Learning Engineer, AI Product Manager, Applied ML Scientist, and many other rewarding opportunities. The curriculum has been mapped to these roles and provides you with the knowledge, skills and expertise required to take up these in any AI & ML related role. We believe that armed with these skills an engineer will be sought after by the industry. Please note that BITS Pilani does not offer placement assistance as a part of this programme.

Refund: Participants may cancel their admission upto the first 14 days from the start of the cohort i.e. Programme Start date (launch of Course 1). He/ She will be eligible to get a full refund of his programme fee paid, minus the bank processing charges and applicable taxes (the taxes won’t be refunded). Refund will be processed within a maximum of 45 working days. The participant will be required to fill in a refund form that will be made available by the Admission Cell. Deferral: If a participant is facing severe issues in dedicating time to the course, we provide the opportunity for the participant defer to another batch. Participants can request for deferral ONLY ONCE and to the next immediate scheduled cohort of the same programme. Participants will be required to pay a deferral fees of 10% of programme fees (including GST). The deferral request will be approved once the deferral fees is paid. Till this is completed, the participant will be assumed to be continuing in the same cohort. Participant will start learning on the new cohort from the point of leaving the deferred cohort. If, however, the deferral request is raised before the issue of BITS Student ID, the 10% deferral fees will not be charged and participant will be deferred to the next scheduled cohort. However, in case there is any fee differential between his current cohort and the cohort he/she has deferred to, the participant will have to pay the differential amount.