Certification Program in Artificial Intelligence and Data Science
Industry Partner PwC Academy
Programme Duration
6 Months
Time Commitment
8-10 Hours/Week
Campus Immersion
3 Days
Eligibility
12th Pass and Above
Learning Mode
Online
1.2K+ students have already registered
Programme Duration
6 Months
Time Commitment
8-10 Hours/Week
Campus Immersion
3 Days
Eligibility
12th Pass and Above
Learning Mode
Online
Why choose this course?
Collaborate on cutting-edge AI projects, designing industry-ready prototypes that address complex business problems and push the boundaries of current AI capabilities.
Designed for students with basic knowledge of programming and mathematics, no prior AI experience needed.
Get interview-focused coaching and AI-powered practice sessions — all designed to boost your chances in competitive hiring. Eligibility: 5 CGPA
Solve real-world problems, apply your learning, and collaborate with peers on an impactful final project.
Earn an official certificate from BITSOM to boost your resume and demonstrate your expertise to top employers.
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
Course Details
Duration
6 Months
Course Mode
Online
Certification
From BITSoM
- • 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)
- • 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
- • 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
- • 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
Pratik Narang
Profile ›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 focuses on building systems using Artificial Intelligen...
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 Ph.D. in Operations from the University of North ...
Pratik Narang
Profile ›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 focuses on building systems using Artificial Intelligen...
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 Ph.D. in Operations from the University of North ...
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