Post Graduate Program in Artificial Intelligence and Machine Learning offered by Work Integrated Learning Programmes
- Private Institute
- UGCApproved
- Estd. 1979
Post Graduate Program in Artificial Intelligence and Machine Learning at Work Integrated Learning Programmes Overview
Duration | 11 months |
Total fee | ₹2.45 Lakh |
Mode of learning | Online |
Official Website | Go to Website  |
Credential | Certificate |
Post Graduate Program in Artificial Intelligence and Machine Learning at Work Integrated Learning Programmes Highlights
- Earn a certificate after completion of the course
- Case studies, projects and assignments for real world exposure
- Fee payment can be done in installment
- Learn from industry best faculty
Post Graduate Program in Artificial Intelligence and Machine Learning at Work Integrated Learning Programmes Course details
Software Engineers
IT Professionals
Data Professionals
Business Analysts
Product Managers
Discover the principles of automation, analysis, and much more from the AI ML Course, which is offered in collaboration with Purdue University
You will gain practical experience and know-how of what they are and how to leverage them for different business applications
You will also explore prompt engineering and its role in generating desired outputs
Leverage Python to implement algorithms, conduct data analysis, and construct intelligent systems effectively and efficiently
The 11-month Post Graduate Certificate Programme in Artificial Intelligence and Machine Learning by BITS Pilani Work Integrated Learning Programmes is designed to help working professionals like you develop a deeper understanding of AI and ML, and get equipped with knowledge on its various building blocks
The course provides a comprehensive and rigorous curriculum covering key concepts and technologies of Artificial Intelligence and Machine Learning
Post Graduate Program in Artificial Intelligence and Machine Learning at Work Integrated Learning Programmes Curriculum
Course 1
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
Course 2
Overview of Feature Engineering
Data Preprocessing
Dimensionality Reduction
Visualization
Course 3
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
Course 4
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
Course 5
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
Course 6
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
Post Graduate Program in Artificial Intelligence and Machine Learning at Work Integrated Learning Programmes Faculty details
Post Graduate Program in Artificial Intelligence and Machine Learning at Work Integrated Learning Programmes Entry Requirements
- N/A
Employed professionals holding BE/ B.Tech. or equivalent, and working in relevant fields are eligible to apply
- N/A
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
Post Graduate Program in Artificial Intelligence and Machine Learning at Work Integrated Learning Programmes Admission Process
Important Dates
Other courses offered by Work Integrated Learning Programmes
Post Graduate Program in Artificial Intelligence and Machine Learning at Work Integrated Learning Programmes Frequently Asked Questions
Q: Which major specializations are available at BITS Pilani - WILP?
Upvote 
Q: Is BITS Pilani WILP Tier 1 or Tier 2?
BITS Pilani is widely considered a Tier 1 institute in India for higher education, including its Work Integrated Learning Programmes (WILP). While the WILP programs are designed for working professionals and may not have the same visibility as its full-time programs, BITS Pilani's overall reputation, academic excellence, and industry connections maintain its standing as a top-tier institution.
Its strong brand and industry-recognized degrees make WILP programs valuable for career advancement, especially for professionals in technical and managerial roles.
Upvote Q: Is it easy to get admission in BITS Pilani WILP?
The WILP program offers a range of courses, including M.Tech., B.Tech., MBA, M.Sc., Diploma, and Certificate Programmes. The program is designed for working professionals who want to elevate their skills without taking a career break.
Some of the eligibility requirements for WILP programs include:
- A minimum of 60% aggregate marks.
- A minimum of one year of work experience in a relevant domain.
- Adequate preparation in mathematics for those with a Technical Diploma or B.Sc.
Admission to the Work Integrated Learning Programmes (WILP) at BITS Pilani is based on a number of factors, including academic achievements, work experience, and the profile of the candidate's employer and mentor. The application process is as follows:
- The Admissions Cell reviews the application form and supporting documents for completeness and accuracy.
- If the application meets the eligibility criteria, the candidate will receive an admission offer notification.
- After paying the admission and semester fees, the candidate will receive further communication confirming the class schedule and access to online learning resources.
Upvote Q: How good is BITS Pilani WILP for B.Tech.?
BITS Pilani WILP’s B.Tech is popular for the course structure of the program especially because it offers industry exposure. Key statistics:
- Ranking: 18th (NIRF 2024, Engineering)
- Duration: 4-6 years
- Specializations: 14
- Eligibility: Higher secondary with 60% pass, and working professionals
- Admission criteria: BITS WILP Admission Test
- Fees: 2.6-3.4 lakhs per year
- Placement record: 90%+
- Average salary: 8-12 lakhs per annum
- Alumni network: 50,000+ professionals
- Pass percentage: 85%+
- Student satisfaction rate: 90%+
WILP B.Tech degree of BITS Pilani enables opportunities to build career for the working experience professionals..
Upvote Q: How can I get into BITS Pilani - WILP for UG/PG courses? Am I eligible for admission?
| Courses | Eligibility |
|---|---|
| PG Diploma | Employed professionals who hold M.Sc. (Electronics) are also eligible to apply |
| M.E./M.Tech | Employed professionals holding M.Sc, MCA or equivalent in relevant disciplines with at least 60% aggregate marks and minimum one year of work experience in relevant domains. |
| MBA/PGDM | Employed professionals holding M.Sc or its equivalent with at least 60% aggregate marks, and minimum one year relevant work experience are also eligible. |
| B.E. / B.Tech | Working professionals holding Diploma in Engineering/ B.Sc. in relevant disciplines, with at least 60% aggregate marks and minimum of two years of work experience in relevant domains. The programme is designed for: Highly driven and ambitious engineers who wish to gain deep insight into Core Engineering, Manufacturing and Executive Management functions Experienced professionals aspiring to gain an overall competency in the popular technology domains, which sets them apart from narrow specialiszations |
| M.Sc. | Working professionals holding M.Sc./ MCA/ MBA or equivalent are eligible to apply. |
Upvote 
Student Forum
Anything you would want to ask experts?Answered 9 months ago
Hi Sanika,
Below is the list of eligibility criteria of PGP in AL & ML at BITS Pilani - WILP:
- The candidate should be an employed or a working professional with BE/B. Tech degree or any other equivalent degree.
- Candidates who have an M.Sc in Statistics or Mathematics and working on relative roles can a
H
Contributor-Level 10
Colleges in PilaniWork Integrated Learning ProgrammesCoursesPost Graduate Program in Artificial Intelligence and Machine LearningPost Graduate Program in Artificial Intelligence and Machine Learning at Work Integrated Learning Programmes News & Updates
Post Graduate Program in Artificial Intelligence and Machine Learning at Work Integrated Learning Programmes Contact Information
Useful Links
Know more about Work Integrated Learning Programmes
- All About Work Integrated Learning Programmes
- Courses 2025
- Fees 2025
- Reviews on Placements, Faculty & Facilities
- Placement - Highest & Average Salary Package
- Infrastructure Details & Reviews
- Work Integrated Learning Programmes Faculty
- Compare Work Integrated Learning Programmes
- Work Integrated Learning Programmes Q&A
- Work Integrated Learning Programmes News & Articles
What are the eligibility criteria for admission into Online PGP in AL & ML at BITS Pilani - WILP?