New Age Programme
Learn cutting edge tech, in-demand skills and industry best practices
Learning Format
Live learning, 24x7 virtual labs & solve real life case studies
Great Experience
Learn from world class faculty, guided capstone project & campus immersion programme
Easy Finance
Multiple options including 0% interest EMI
Join the Minds That Make Machines Think.
Post Graduate Programme in Artificial Intelligence and Machine Learning is an 11-month certification programme designed for working professionals to equip them with future-proof and relevant skills in the changing industry. It is designed to help working professionals develop a deeper understanding of AI and ML, and get equipped with knowledge on its various building blocks.
Experience high-quality learning in a live, interactive, engaging mode with practical & hands-on learning on Remote & Simulation Labs.
Unique Programme Curriculum:
Customise Your Learning
The 11-month Post Graduate Programme in Artificial Intelligence and Machine Learning consists of 6 Courses and a Capstone Project
REGRESSION (5 WEEKS)
Regression is a widely used statistical learning method, and this course will enable participants to have a deeper understanding of regression models both from theoretical and implementation perspective.
The course covers concepts such as lasso regression, ridge regression and the interpretability of the predicted models.
- Overview of certificate programme in ML & AI
- Introduction to Regression
- Mathematics Foundations
- Model Building using Least squares
- Model Accuracy & Selection
- Overfitting
- Interpretability of regression models
FEATURE ENGINEERING (4 WEEKS)
Feature Engineering is an important step to develop and improve performance of Machine Learning models. In this course, students will learn different data wrangling techniques that help transforming the raw data to an appropriate form on which learning algorithms can be applied.
This course enables students to identify and implement appropriate feature extraction and pre-processing techniques. The Visualization techniques will also be taught in this course.
- Overview of Feature Engineering
- Data Preprocessing
- Dimensionality Reduction
- Visualization
CLASSIFICATION (9 WEEKS)
The course on Classification lays down a strong foundation on the algorithmic perspective of popular classification algorithms - k-NN, Naïve Bayes, Decision Tree, Logistic Regression and SVM. The implementation details of these models, along with tuning of parameters will be illustrated. The course also covers concepts such as ensemble methods like bagging, boosting, Random Forest, and interpretability of the predicted models.
- Overview of the Classification Module
- Nearest-neighbour Methods
- Naïve Bayes Classifier
- Logistic Regression
- Decision Tree
- Optimization Foundations for Support Vector Machines
- Support Vector Machines
- Support Vector Machines in overlapping class distributions & Kernels
- Ensemble Methods
UNSUPERVISED LEARNING & ASSOCIATION RULE MINING (7 WEEKS)
The course on Unsupervised Learning & Association Rule Mining focuses on finding natural groups or clusters that are present in the data. The course will cover lustering algorithms like K-means, Hierarchical & DBSCAN algorithms, Hidden Markov Models for time series prediction, and market basket analysis to generate the interesting rules from a transactional database.
- Introduction to Unsupervised Learning, Clustering
- K-Means Algorithm, K-Means – Variations, Detecting Outliers
- Math Fundamentals for EM Algorithm, EM Algorithm, Clustering for Customer Segmentation
- Hierarchical Clustering
- Density Based Clustering, Clustering for Anomaly Detection
- Assessing Quality of Clustering, Significance of Clustering - Interpreting/ summarizing Clusters by businesses
- Association Rule Mining, Apriori Algorithm
- Time series Prediction and Markov Process, Hidden Markov Model
Text Mining (5 weeks)
Text mining is the process of deriving high-quality information from text and this is the fifth course of the programme. This course aims to equip students with adequate knowledge in extracting the relevant text data and skills to identify patterns therein. This course covers topics like converting documents to vectors, parts of speech tagging, topic modelling, sentiment analysis and recommender systems.
- Document vectorization and Parts of Speech Tagging
- Introduction to Part of speech tagging, Part of speech tagging using HMM-1, Implementing POS Tagging in Python
- Topic modelling using LDA
- Introduction to Sentiment Analysis
- Recommender Systems
Deep Learning and ANN (6 weeks)
Deep learning is an evolving subfield of Machine Learning and this course starts with traditional Neural Networks followed by sequential networks, Convolution Networks, Autoencoders and Generative deep learning models. The implementation details of these deep learning models along with tuning of the parameters will be illustrated in this course.
- Artificial Neural Network
- Sequence Modeling in Neural Network
- Deep Learning
- Convolution Networks with Deep Learning
- Autoencoders with Deep Learning
- Generative deep learning models
CAPSTONE PROJECT (8 WEEKS)
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 under the mentorship of BITS Pilani faculty members and senior Industry practitioners.
REFRESHER COURSE
In addition to the Curriculum above, participants will have the option of taking an optional course on Python at the beginning of the Programme. This will allow participants to revisit essential concepts that will help in all other courses during the programme. Topics covered include Introduction to Python programming and installation, Data Types, Program constructs, Numpy, Pandas, Matplotlib, and Debugging Python programs.
Live Interactive and Engaging
Learning Methodology
Live Learning
Live sessions for each course
32 hours of live instruction of each course on weekends in an interactive mode
Faculty-guided hands-on learning
Solve real life case studies, assignments & more and receive feedback on the same from the faculty members.
Hybrid Experience
Campus Immersion Programme
Opportunity to visit the BITS campus to learn, experience labs, network with peers and get mentored by BITS leadership.
Experiential Learning Centres
Learning centres at major cities will go live in 2025 that will have physical labs and faculty members at one place for learners to conduct experiments & practical.
Project Based Learning
Final Semester Project
Learners pick project from their workplace or industry dissertation to apply their learning and suggest improvements.
Develop Problem Solving Skills
Identify, analyze, and effectively find solutions utilizing critical thinking & analytical reasoning.
Self Learning
Flexible learning with access to digital resources
Learners can access e-learning content, recorded sessions, and assignments on our LMS anytime, anywhere.
Library access to books & journals.
Learners get subscription to the world's largest collection of eBooks and other reading resources through OpenAthens.
Experience Exceptional Growth
in Career and
Confidence
For more than 46 years, BITS Pilani, a globally renowned institution, has enabled working professionals through its WILP Programmes to grow into successful leaders and entrepreneurs across the world.
1,36,904
Working Professionals Graduated
353
CEOs and Founders
4,997
Global Heads,
Presidents & Directors
Learn From the Best Minds:
World-Class Faculties and Industry Experts
With over 120 full-time faculty members bringing deep industry and academic expertise, and 1,000+ industry professionals contributing to the learning journey, the programmes offer a truly world-class educational experience.
Our Learners Come From the Best of Organisations
With Diverse
Backgrounds
Experience the Best of BITS Pilani:
Campus Immersion
Learners have the opportunity to visit the BITS Pilani campus during their programme, immersing themselves in a vibrant environment, making lab visits, group exercises with peers and interacting with BITS faculty and the leadership.
Earn a Prestigious Degree & Alumni Status From BITS Pilani
Programme Fee
Programme Fee
INR 2,45,000
The fee mentioned above is for the entire programme and is payable as a one-time payment.
- Avail easy EMI option with 0% interest. To know more Click Here
Eligibility
Criteria
- Employed professionals holding BE/ B.Tech. or equivalent, and working in relevant fields, are eligible to apply.
- Candidates holding an 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
Everything You Need To Know
Examination are of 2 types : Continuous and Comprehensive Exams.
- Continuous consists of quizzes, lab assignments etc. to be taken virtually on the LMS
- Comprehensive: Mid term and End term are to be taken in person at University designated exam centres
For Indian Students: List of designated exam centres
- East Zone: Kolkata, Guwahati, Jamshedpur, and Bhubaneswar.
- West Zone: Mumbai, Thane, Pune, Ahilya Nagar, Goa, Ahmedabad, Vadodara, Surat, Indore and Nagpur.
- North Zone: Delhi NCR, Faridabad, Jaipur, Chandigarh, Lucknow, Bhilwara, Udaipur and Pilani.
- South Zone: Bangalore, Chennai, Hyderabad, Mysore, Vijayawada, Visakhapatnam, Kochi, Thiruvananthapuram, Hosur, Madurai, Kancheepuram and Coimbatore.
For International Students:
- In addition to the above locations, the institution has a designated international examination centre in Dubai.
- To facilitate the learning of international students applying from anywhere except India and Dubai, the examinations will be conducted online, and they can be availed by meeting the institute's requirements.
- To know more about the requirements for online examinations, Click here
- Scanned copy of the visa for the country in which you are currently residing. The visa should be currently valid. No expired visas shall be considered
(OR) - Scanned copy of government-issued ID from the residing country
(And) - HR recommendation or endorsement letter from the employer, stating the location of your work.
- Scanned copy of the visa for the country in which you are currently residing. The visa should be currently valid. No expired visas shall be considered
- Indian students, who are temporarily based out of India, can also avail of online examinations on request by meeting the above-mentioned requirements of the institute.
To Apply Click Here
24x7 Support System and 5 regional offices
We have a 24x7 support system to address your queries over the phone or raise tickets for any support or help needed. You can drop into our regional offices to meet the BITS team.
Reach us at admission@wilp.bits-pilani.ac.in or 080-48767777
Industry Endorsements
Transformation Experienced
By Our Learners
I realised while working that I need to upgrade my skills and competencies. This BITS Pilani WILP programme helped me achieve my goals without a career break and the best part was attending live online classes while continuing my job.
Anand Karapurkar
Assistant Chief Manager,
Godrej & Boyce
I have gained a lot through this programme. I am now in a zone where I am comfortable challenging others; I feel I am empowered with the right knowledge to do my job better with BITS Pilani WILP’s degree programme.
Amruthavarshini HK
Senior Test Engineer,
Motorola Solutions
I was looking for a programme to excel without a career break, which led me to BITS Pilani WILP’s programme. The programme met industry requirements, and the best part was that I pursued it online. Highly Recommended!
C Chidananda
Project Engineer,
Toyota Kirloskar Pvt Ltd.
FAQs
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.
Upon successful completion of the programme, participants will receive a Post Graduate Certificate in Artificial Intelligence and Machine Learning from BITS Pilani in addition to an Official Transcript and Programme GPA.
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.
