Certification Program in Artificial
Intelligence and Data Science
from BITSoM

Certification Program in Artificial
Intelligence and Data Science
from
BITSoM

  • Learn from global AI leaders and Ivy League faculty.
  • Get certified by BITS’ globally recognized academic powerhouse.
  • 10+ tools and platforms covered: Python, TensorFlow, and more
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Programme Duration

6 Months

Time Commitment

8-10hrs/week

Campus Immersion

3 Days

Eligibility

12th Pass and Above

Learning Mode

Online

Admission Process

Admission Process
Clear Qualifier Test

Clear Qualifier Test

Clear the Qualifier test to be eligible for the programme

Complete Counselling

Complete Counselling

Only shortlisted candidates go through the counselling process

Start Learning

Start Learning

Learn from India's top educators and stand out from the crowd.

Qualifier Test Details

To join this Program, you must clear the qualifier test on your allotted date.

1

Topics Covered

  • Verbal Ability
  • Quantitative Aptitude
  • Statistics
2

Registration Process

  • Pay ₹99 and choose your slot
  • Unlock free mock test and practice before your final exam
3

Things to Remember

  • The duration of the test is 60 minutes
  • You can take the test only once at your allotted time & slot
  • The test must be taken on a desktop or laptop. Supported browsers (latest versions only): Google Chrome, Safari, Microsoft Edge, and Firefox.

Fee Structure

Qualifier Test Fee

(non-refundable)

₹99

Option 1

Upfront

Option 2

EMI

(Through Our NBFC Partners)

Secure Seat Fee

(non-refundable)

₹4,000

₹4,000

Programme Fee

(non-refundable)

₹56,000

₹7,156 x 9 months

Total

₹60,000
( + GST **)

₹68,404
( + GST **)

** GST at 18% extra, as applicable

Our NBFC Partners

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Course Certificate

Why choose this Programme?

Collaborate on cutting-edge AI projects, designing industry-ready prototypes that address complex business problems and push the boundaries of current AI capabilities.

Beginner-Friendly

Designed for students with basic knowledge of programming and mathematics, no prior AI experience needed.

Industry Readiness

Get interview-focused coaching and AI-powered practice sessions — all designed to boost your chances in competitive hiring. Eligibility: 5 CGPA

Capstone Project

Solve real-world problems, apply your learning, and collaborate with peers on an impactful final project.

Showcase BITSOM Certificate*

Earn an official certificate from BITSOM to boost your resume and demonstrate your expertise to top employers.

*Certificate Eligibility: Minimum 65% overall attendance and 3.5 CGPA marks in cumulative evaluations score.

What Will You Learn?

In this program, you’ll build a strong foundation in programming, mathematics, and statistics, then advance to key areas like machine learning, neural networks, deep learning, and big data analytics. Through hands-on projects and real-world case studies, you’ll learn to apply AI and data science techniques to solve complex problems. The program culminates in a capstone project, enabling you to showcase your skills and prepare for high-demand roles in this rapidly evolving field.

Toolkit

Toolkit 1
Toolkit 2
Toolkit 3
Toolkit 4
Toolkit 5
Toolkit 6

Course Details

Duration

6 Months

Course Mode

Online

Certification

From BITSoM

Module 1: Mathematics for Data Science

  • Linear Algebra: Vectors, matrices, system of equations, eigenvectors, orthogonality
  • Calculus: Functions, derivatives, chain rule, gradient, Jacobian, Hessian
  • Probability & Statistics: Conditional probability, Bayes’ theorem, random variables, expectation & variance, CLT, LLN
  • Optimization: Convex sets & functions, constrained/unconstrained optimization
  • Tools : Python (NumPy, SciPy)

Module 2: Machine Learning Fundamentals

  • Supervised Learning: Regression (Linear, Ridge, Lasso), classification (Logistic Regression, SVM, Decision Trees, k-NN)
  • Unsupervised Learning: Clustering (K-Means, GMM), Dimensionality Reduction (PCA)
  • Model Evaluation: Accuracy, Precision, Recall, F1, ROC, AUC, Cross-validation, Bias-Variance Trade-off
  • Neural Networks Basics: Perceptrons, loss functions, forward/backpropagation
  • Training Methods: SGD, Adam, Batch Norm, Dropout, Regularization
  • Tools: Python, Scikit-learn, Google Colab

Module 3: Advanced Deep Learning & AI Applications

  • Deep Learning Architectures: CNNs (ResNet, Inception), RNNs (LSTM, GRU), Transformers (BERT, GPT)
  • Generative Models: VAEs, GANs (CycleGANs, Conditional GANs)
  • Reinforcement Learning: Agents, rewards, Q-Learning, Policy Gradients, Deep RL (DQN, Actor-Critic)
  • Applications: NLP (tokenization, word embeddings, sentiment analysis, NER), Computer Vision (Object Detection, Segmentation)
  • Emerging Trends: Self-supervised learning, multi-task learning, ethics in AI
  • Tools: TensorFlow, PyTorch, Hugging Face Transformers

Module 4: Capstone Project + Industry Expert Sessions

  • Develop an end-to-end AI solution using real-world data.
  • Domains: NLP Chatbots, Computer Vision Apps, Recommendation Engines, Generative Models.
  • Monthly live sessions with industry mentors for project feedback and career guidance.
  • Final presentation & deployment with faculty evaluation.

Instructors & Industry Experts

Dr. Saravanan Kesavan

Dr. Saravanan Kesavan

Dean and Professor of Operations, BITSoM

Dr Saravanan Kesavan, a PhD from Harvard business school, has a tenure of 16 years at the University of North Carolina (UNC) at Chapel Hill, notably a...

Meenakshi Balakrishna

Meenakshi Balakrishna

Ph.D. Candidate in Quantitative Marketing

Meenakshi Balakrishna is a PhD Candidate in Quantitative Marketing at the University of California, San Diego. Her research spans pricing, consumer be...

Shankar Prakash

Shankar Prakash

Adjunct Professor at Indian Institute of Management Udaipur

Shankar Prakash is an independent educator and Adjunct Professor at the Indian Institute of Management Udaipur. With over two decades of experience sp...

Pratik Narang

Pratik Narang

Associate Professor, Department of Computer Science & Information Systems, BITS Pilani

Dr. Pratik Narang is a Senior Member of IEEE and an Assistant Professor in the Department of CSIS at BITS Pilani, Rajasthan, India. His research focus...

Prof. Dayton Steele

Prof. Dayton Steele

Assistant Professor at University of Minnesota’s Carlson School of Management

Prof. Dayton Steele is an Assistant Professor of Supply Chain and Operations at the University of Minnesota’s Carlson School of Management. He holds a...

Masai student

How will Masai Help you?

1

Dedicated Learner Support

Get personalized assistance, prompt query resolution, and continuous feedback through live interactive sessions with experts.

2

Real-Time Learning Ecosystem

Experience a constantly evolving curriculum with live classes and instant academic assistance, designed to keep pace with industry advancements.

3

Industry Integration and Projects

Participate in hands-on industry projects guided by expert mentors from BITSoM and top companies, ensuring practical and relevant skills development.

FAQs

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Contact Us

WhatsApp us

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For any queries, you can Whatsapp us at +918197292840

Email us

Email us

For any queries, you can contact us at supportexeced.programs@bitsom.edu.in

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Contact Person - 1

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Contact Person - 2

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