presents
All India Common Entrance Test 2025
Test Date
30th Nov, 2025
Mode of exam
Online
Available from
10 AM - 10 PM
Admissions open in
these programs
BITSoM
Certification in Business Analytics with Gen & Agentic AI
iHUB DivyaSampark, IIT Roorkee
Certification Program in Agentic Systems and Design
iHUB DivyaSampark, IIT Roorkee
Future-Ready Product Management with Applied AI Program
Certification in
Artificial Intelligence and
Machine Learning
Certification in
Artificial Intelligence and
Machine Learning
- Learn from IIT faculty and industry mentors
- 12+ industry tools like Python, Numpy, Pandas, Jupyter
- Multiple Hands-On Al projects, 1 Capstone Project
Foundation Starts
February 04, 2026
Course Duration
9 Months
Time Commitment
8-10 Hours/week
Eligibility
12th Pass and Above
Learning Mode
Online
Foundation Starts
February 04, 2026
Course Duration
9 Months
Time Commitment
8-10 Hours/week
Eligibility
12th Pass and Above
Learning Mode
Online
2.4K+ students have already registered
What Will You Learn?
Begin your AI/ML journey with a beginner-friendly, industry-aligned curriculum from Vishlesan i-Hub, IIT Patna. Covering everything from Python basics to advanced topics like deep learning and generative AI, the program builds real-world skills through hands-on projects and expert-led learning.
Toolkit
Course Details
Duration
9 Months
Course Mode
Online
Certification
From Vishlesan i-Hub IIT Patna
Module-1: AIM101 – Introduction to AI and ML for Beginners
- Fundamentals of Computing and Python Basics : Introduction to programming concepts, setting up a development environment (e.g., Jupyter Notebooks).
- Essential Mathematics for AI/ML : Basic linear algebra, calculus, probability, and statistics.
- Data Representation and Visualization : Using Pandas for data manipulation and Matplotlib for data visualization.
- Core AI Concepts and History : Defining AI, early developments, key breakthroughs in AI and ML.
- Introduction to Machine Learning : Understanding AI vs. ML, supervised vs. unsupervised learning, basic Python examples.
- Data Collection and Cleaning : Techniques for gathering and cleaning data for analysis.
Module-2: AIM201 – Core Machine Learning Techniques and Practices
- Exploratory Data Analysis (EDA) : Summarizing data, identifying patterns, and performing basic statistical tests.
- Basic Regression and Classification : Understanding and implementing linear regression and nearest neighbor classification.
- Evaluation Metrics and Model Validation : Applying train/test split, accuracy, RMSE, and cross-validation.
- Intro to Ethical AI : Addressing bias in data and responsible AI usage.
- Case Studies : Real-world applications of AI in healthcare, finance, and education.
- Recap of Machine Learning Workflow : Data preprocessing, feature engineering, model training, and evaluation.
- Regression Techniques : Multiple linear regression, polynomial regression, and regularization.
- Classification Algorithms : Logistic regression, decision trees, and ensemble methods.
- Advanced Unsupervised Learning : Clustering, dimensionality reduction, and anomaly detection.
- Neural Network Fundamentals : Perceptrons, activation functions, feed-forward networks, and backpropagation.
- Model Evaluation and Metrics : Precision, recall, F1-score, confusion matrix, and AUC-ROC.
- Techniques for Overcoming Overfitting : Regularization, dropout, data augmentation, and early stopping.
- Hyperparameter Tuning : Grid search, random search, and Bayesian optimization.
- Practical ML Pipeline Development : Building end-to-end ML pipelines and MLOps basics.
Module-3:AIM301 – Advanced AI: Deep Learning, NLP, and Emerging Trends
- Deep Learning Architectures : Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and sequence models.
- Advanced Neural Network Topics : Batch normalization, residual networks, and transfer learning techniques.
- Natural Language Processing (NLP) : Text preprocessing, word embeddings, and sequence-to-sequence models.
- Transformers and Language Models : BERT, GPT, attention mechanisms, and fine-tuning for tasks like text classification and summarization.
- Computer Vision Beyond Basics : Object detection, image segmentation, and pretrained models.
- Reinforcement Learning Foundations : Markov Decision Processes (MDPs), Q-learning, and policy gradients.
- Generative Models : GANs, autoencoders, and their applications in AI.
- Large-Scale Data Processing and Deployment : Distributed computing, cloud-based AI platforms, and Docker containerization.
- AutoML and Advanced Hyperparameter Tuning : Automated feature engineering and advanced search strategies.
- Frontiers of AI and Research Directions : Ethical AI, fairness in large models, AI governance, and current AI research trends.
- Capstone Project : Integration of multiple advanced AI techniques to develop a robust AI solution.
Please Note :- "Due to the evolving nature of the industry expectations and partner institute feedback, some syllabus aspects may change. Any updates will be communicated during the Inauguration Session(s) or at the start of the relevant module"
Our Instructors & Industry Mentors
Fee Structure
Qualifier Test Fee
(non-refundable)
Option 1
Upfront
Option 2
EMI
(Through Our NBFC Partners)
Secure Seat Fee
(non-refundable)
₹4,000
₹4,000
Program Fee
(non-refundable)
₹51,085
₹6,528 x 9 months
Total
₹55,085
₹62,752
** GST at 18% extra, as applicable
Why choose this Program?
Learn Like an IITian, Excel Like a Global Leader
Prestigious Certification*:
Receive a Certificate of Completion with Vishlesan i-Hub, IIT Patna, significantly enhancing your profile’s value.
Real-World Capstone Project:
Work on capstone projects designed to solve practical business challenges.
Expert Faculty & Industry Insights:
Learn from IIT faculty & industry experts bringing real-world insights to your learning journey.
Placement Opportunities
Receive resume reviews, career coaching, and placement support to land your dream role. (Eligibility: 7+ CGPA and 65% attendance)
*Certificate Eligibility: Minimum 65% overall attendance and 30% marks in cumulative evaluations score
About Vishlesan i-Hub, IIT Patna
- National Innovation Hub: Vishlesan i-Hub at IIT Patna is part of a national mission, advancing AI in speech, video, and text analytics for sectors like health, education, and security.
- Premier Technical Institute: IIT Patna is one of India's top engineering institutes, known for its cutting-edge research and strong academic foundation.
- Strong Industry & Research Ecosystem: With active collaborations, incubators, and innovation hubs, IIT Patna bridges academia and industry to drive real-world impact.
Admission Process
Clear Qualifier Test
Clear the qualifier test to be eligible for the program
Complete Counselling
Only shortlisted candidates go through the counselling process
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.
Topics Covered
- • Quantitative Aptitude
- • Logical Reasoning
- • Data Interpretation
- • Verbal Ability
Registration Process
- • Pay ₹99 and choose your slot
- • Unlock free mock test and practice before your final exam
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.
Contact Us
Certification in
Data Analytics with Gen & Agentic AI
Certification in
Data Analytics with Gen & Agentic AI
- Learn from accomplished industry leaders and distinguished IIT Patna faculties and industry mentors.
- Master Excel, SQL, Python & AI to analyze qualitative and quantitative business data.
- Industry Readiness: Build in-demand skills, complete real projects, and learn latest industry trends.
Foundation Starts
February 04, 2026
Program Duration
6 Months
Eligibility
12th Pass and Above
Learning Mode
Online
Time Commitment
8-10 Hrs/week
Foundation Starts
February 04, 2026
Program Duration
6 Months
Eligibility
12th Pass and Above
Learning Mode
Online
Time Commitment
8-10 Hrs/week
1.3K+ students have already registered
Application Closed
What Will You Learn?
This 6-month course teaches you how to use Generative AI, Agentic AI & Data Analytics to make strategic, data-driven business decisions through practical projects and real-world case studies. You'll gain hands-on experience in data analysis, predictive modeling, and decision-making frameworks.
Toolkit
Course Details
Duration
6 Months
Course Mode
Online
Certification
From Vishlesan i-Hub IIT Patna
Module 1: Foundations of Data & AI
- The Data Landscape: Understanding different types of data and the data lifecycle
- Excel Essentials: Cleaning, structuring, and analyzing data using basic spreadsheet
- Python for Analytics: Mastering core Python syntax, variables, and data structures
- SQL Fundamentals: Basic querying and managing data in a relational database
- The AI Ecosystem: A high-level, non-technical overview of AI, Machine Learning, and how Generative AI fits into this picture
Module 2: Prompt Engineering & the Power of LLMs
- What is an LLM?: Understanding the basic architecture and capabilities of models like GPT and Gemini
- Prompt Engineering Techniques: Mastering core prompting strategies, from zero-shot to few-shot prompting
- AI-Assisted Writing & Analysis: Using LLMs to summarize articles, generate reports, and assist with creative tasks
- Understanding Tokens: A conceptual overview of how models process information.
- Exploring Open-Source LLMs: An introduction to publicly available models and their use cases
- Interacting with the API: A simple introduction to calling the OpenAI API with Python
Module 3: AI-Assisted Data Wrangling & Insights
- Data Cleaning with AI: Leveraging AI tools to automatically find and fix errors in datasets
- Exploratory Data Analysis (EDA): Using Numpy and Pandas to generate initial hypotheses and summarize key statistics from your data
- AI-Powered Visualization: Creating stunning and informative charts and graphs with the help of AI
Module 4: Introduction to Agentic AI
- The Anatomy of an AI Agent: Understanding the core components of autonomous agents, including planning, memory, and tool use
- Building with Frameworks: Getting hands-on with popular frameworks like LangChain and CrewAI to design and build multi-agent systems
- AI Automation & Tool Use: Creating agents that can interact with APIs and online resources to perform tasks like research
Module 5: The Capstone Project
- In this module, you will design and build a Capstone Project from scratch, showcasing your ability to apply Generative and Agentic AI principles to a real-world problem.
Please Note :- "Due to the evolving nature of the industry expectations and partner institute feedback, some syllabus aspects may change. Any updates will be communicated during the Inauguration Session(s) or at the start of the relevant module"
Meet our fabulous mentors
Fee Structure
Qualifier Test Fee
(non-refundable)
Option 1
Upfront
Option 2
EMI
(Through Our NBFC Partners)
Secure Seat Fee
(non-refundable)
₹4,000
₹4,000
Program Fee
(non-refundable)
₹51,085
₹6,528 x 9 months
Total
₹55,085
( + GST **)
₹62,752
( + GST **)
** GST at 18% extra, as applicable
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.
Real-World AI Projects
Gain hands-on experience by working on real-world data analytics projects powered by Generative AI.
Expert Mentorship & Live Sessions
Learn directly from top product leaders and AI experts through interactive live sessions.
Placement Opportunities
Receive resume reviews, career coaching, and placement support to land your dream role. (Eligibility: 7+ CGPA and 65% attendance)
AI Portfolio Development
Create a standout portfolio by working on AI-driven business solutions, showcasing your ability to tackle real-world problems.
*Certificate Eligibility: Minimum 65% overall attendance and 30% marks in cumulative evaluations score
About Vishlesan i-Hub, IIT Patna
- National Innovation Hub: Vishlesan i-Hub at IIT Patna is part of a national mission, advancing AI in speech, video, and text analytics for sectors like health, education, and security.
- Premier Technical Institute: IIT Patna is one of India's top engineering institutes, known for its cutting-edge research and strong academic foundation.
- Strong Industry & Research Ecosystem: With active collaborations, incubators, and innovation hubs, IIT Patna bridges academia and industry to drive real-world impact.
Admission Process
Clear Qualifier Test
Clear the qualifier test to be eligible for the program
Complete Counselling
Only shortlisted candidates go through the counselling process
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.
Topics Covered
- • Logical Reasoning
- • Basic Maths
- • Quantitative Aptitude
Registration Process
- • Pay ₹99 and choose your slot
- • Unlock free mock test and practice before your final exam
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.
Contact Us
Certification in
Artificial Intelligence and
Machine Learning
Certification in
Artificial Intelligence and
Machine Learning
- Learn from IIT faculty and industry mentors
- 12+ industry tools like Python, Numpy, Pandas, Jupyter
- Multiple Hands-On Al projects, 1 Capstone Project
Foundation Starts
February 04, 2026
Course Duration
9 Months
Time Commitment
8-10 Hours/week
Eligibility
12th Pass and Above
Learning Mode
Online
Foundation Starts
February 04, 2026
Course Duration
9 Months
Time Commitment
8-10 Hours/week
Eligibility
12th Pass and Above
Learning Mode
Online
2.4K+ students have already registered
What Will You Learn?
Begin your AI/ML journey with a beginner-friendly, industry-aligned curriculum from Vishlesan i-Hub, IIT Patna. Covering everything from Python basics to advanced topics like deep learning and generative AI, the program builds real-world skills through hands-on projects and expert-led learning.
Toolkit
Course Details
Duration
9 Months
Course Mode
Online
Certification
From Vishlesan i-Hub IIT Patna
Module-1: AIM101 – Introduction to AI and ML for Beginners
- Fundamentals of Computing and Python Basics : Introduction to programming concepts, setting up a development environment (e.g., Jupyter Notebooks).
- Essential Mathematics for AI/ML : Basic linear algebra, calculus, probability, and statistics.
- Data Representation and Visualization : Using Pandas for data manipulation and Matplotlib for data visualization.
- Core AI Concepts and History : Defining AI, early developments, key breakthroughs in AI and ML.
- Introduction to Machine Learning : Understanding AI vs. ML, supervised vs. unsupervised learning, basic Python examples.
- Data Collection and Cleaning : Techniques for gathering and cleaning data for analysis.
Module-2: AIM201 – Core Machine Learning Techniques and Practices
- Exploratory Data Analysis (EDA) : Summarizing data, identifying patterns, and performing basic statistical tests.
- Basic Regression and Classification : Understanding and implementing linear regression and nearest neighbor classification.
- Evaluation Metrics and Model Validation : Applying train/test split, accuracy, RMSE, and cross-validation.
- Intro to Ethical AI : Addressing bias in data and responsible AI usage.
- Case Studies : Real-world applications of AI in healthcare, finance, and education.
- Recap of Machine Learning Workflow : Data preprocessing, feature engineering, model training, and evaluation.
- Regression Techniques : Multiple linear regression, polynomial regression, and regularization.
- Classification Algorithms : Logistic regression, decision trees, and ensemble methods.
- Advanced Unsupervised Learning : Clustering, dimensionality reduction, and anomaly detection.
- Neural Network Fundamentals : Perceptrons, activation functions, feed-forward networks, and backpropagation.
- Model Evaluation and Metrics : Precision, recall, F1-score, confusion matrix, and AUC-ROC.
- Techniques for Overcoming Overfitting : Regularization, dropout, data augmentation, and early stopping.
- Hyperparameter Tuning : Grid search, random search, and Bayesian optimization.
- Practical ML Pipeline Development : Building end-to-end ML pipelines and MLOps basics.
Module-3:AIM301 – Advanced AI: Deep Learning, NLP, and Emerging Trends
- Deep Learning Architectures : Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and sequence models.
- Advanced Neural Network Topics : Batch normalization, residual networks, and transfer learning techniques.
- Natural Language Processing (NLP) : Text preprocessing, word embeddings, and sequence-to-sequence models.
- Transformers and Language Models : BERT, GPT, attention mechanisms, and fine-tuning for tasks like text classification and summarization.
- Computer Vision Beyond Basics : Object detection, image segmentation, and pretrained models.
- Reinforcement Learning Foundations : Markov Decision Processes (MDPs), Q-learning, and policy gradients.
- Generative Models : GANs, autoencoders, and their applications in AI.
- Large-Scale Data Processing and Deployment : Distributed computing, cloud-based AI platforms, and Docker containerization.
- AutoML and Advanced Hyperparameter Tuning : Automated feature engineering and advanced search strategies.
- Frontiers of AI and Research Directions : Ethical AI, fairness in large models, AI governance, and current AI research trends.
- Capstone Project : Integration of multiple advanced AI techniques to develop a robust AI solution.
Please Note :- "Due to the evolving nature of the industry expectations and partner institute feedback, some syllabus aspects may change. Any updates will be communicated during the Inauguration Session(s) or at the start of the relevant module"
Our Instructors & Industry Mentors
Fee Structure
Qualifier Test Fee
(non-refundable)
Option 1
Upfront
Option 2
EMI
(Through Our NBFC Partners)
Secure Seat Fee
(non-refundable)
₹4,000
₹4,000
Program Fee
(non-refundable)
₹51,085
₹6,528 x 9 months
Total
₹55,085
₹62,752
** GST at 18% extra, as applicable
Why choose this Program?
Learn Like an IITian, Excel Like a Global Leader
Prestigious Certification*:
Receive a Certificate of Completion with Vishlesan i-Hub, IIT Patna, significantly enhancing your profile’s value.
Real-World Capstone Project:
Work on capstone projects designed to solve practical business challenges.
Expert Faculty & Industry Insights:
Learn from IIT faculty & industry experts bringing real-world insights to your learning journey.
Placement Opportunities
Receive resume reviews, career coaching, and placement support to land your dream role. (Eligibility: 7+ CGPA and 65% attendance)
*Certificate Eligibility: Minimum 65% overall attendance and 30% marks in cumulative evaluations score
About Vishlesan i-Hub, IIT Patna
- National Innovation Hub: Vishlesan i-Hub at IIT Patna is part of a national mission, advancing AI in speech, video, and text analytics for sectors like health, education, and security.
- Premier Technical Institute: IIT Patna is one of India's top engineering institutes, known for its cutting-edge research and strong academic foundation.
- Strong Industry & Research Ecosystem: With active collaborations, incubators, and innovation hubs, IIT Patna bridges academia and industry to drive real-world impact.
Admission Process
Clear Qualifier Test
Clear the qualifier test to be eligible for the program
Complete Counselling
Only shortlisted candidates go through the counselling process
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.
Topics Covered
- • Quantitative Aptitude
- • Logical Reasoning
- • Data Interpretation
- • Verbal Ability
Registration Process
- • Pay ₹99 and choose your slot
- • Unlock free mock test and practice before your final exam
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.
Contact Us
Professional Certificate in Digital Marketing and Analytics with AI
Professional Certificate in Digital Marketing and Analytics with AI
Industry Partner PwC Academy
- Learn from BITSoM’s world-class faculty and top marketing leaders
- 10+ tools like ChatGPT, Meta Ads, and Google Analytics
- Gain AI marketing skills and create real campaigns in a capstone project
Qualifier Test Date
January 04, 2026
Programme Duration
6 Months
Time Commitment
6-7 Hours/Week
Eligibility
12th Pass and Above
Program Chair
Dr. Srinivas Pingali
Adjunct Professor, BitSoM
Learning Mode
Online
Qualifier Test Date
January 04, 2026
Programme Duration
6 Months
Time Commitment
6-7 Hours/Week
Eligibility
12th Pass and Above
Program Chair
Dr. Srinivas Pingali
Adjunct Professor, BitSoM
Learning Mode
Online
1.2K+ students have already registered
Application Closed
What Will You Learn?
Develop user-centered campaign thinking, leveraging advanced tools and prompt engineering for compelling content. Work on 6+ real-world digital marketing projects to build a robust portfolio. Gain expertise in the next frontier of online growth through practical application and strategic insights. You'll achieve a top 1% edge in a rapidly evolving digital landscape and be ready to lead data-driven marketing teams with strategic expertise.
Toolkit
Course Details
Duration
6 Months
Course Mode
Online
Certification
From BITSoM and PwC Academy
Module 1: Marketing Foundations with AI Lens
- Welcome to the Future of Digital Marketing
- Marketing Mix 4.0
- 7Ps of Marketing
- Consumer Behaviour and Branding in the Digital Economy
- Integrated Marketing Communications - Journey Mapping (AIDAS)
- Guest Speaker 1
Module 2: Digital Marketing Reinvented
- Introduction to Digital Marketing and its elements
- Website, Mobile Apps and UX/UI
- Search Engine Optimisation in the AI world
- Search Engine Marketing
- Social Media Marketing and role of AI
- Influencer & Community Marketing, AI Influncers
- Display Advertising
- Email Campaigns
- Online Reputation Management
- Viral Loops & Growth Hacking
Module 3: MarTec and AI
- Introduction to MarTec
- GenAI 101 for Marketers
- AI Image, Audio, and Video Creation
- Privacy, Ethics & Trust in AI Marketing
- Emerging Trends: Agentic AI, Personal AI & Hyperautomation
Module 4: E-Commerce Marketing
- Display Ads and Targeting.
- Social Media Strategy.
- Influencers, Communities, and Online Reputation.
Module 5: Digital Marketing Analytics
- Introduction to Digital Marketing Analytics
- MR Using AI Tools & Customer Segmentation
- Customer Journey and Attribution Models
- A/B Testing and Optimisation Strategies
- Social Media & Influencer Analytics; Predictive Analytics
- Dashboards & Visualisation for Marketing Teams
- Data Driven Customer Retention
Module 6: Bridging Learning with Practice
- Building a Personal Brand with LinkedIn and AI Tools
- Digital Marketer Roles: Mock Interviews & Roleplay
- Summary and Concluding Session, Set up for Projects
Instructors & Industry Experts
Fee Structure
Qualifier Test Fee
(non-refundable)
Option 1
Upfront
Option 2
EMI
(Through Our NBFC Partners)
Secure Seat Fee
(non-refundable)
₹4,000
₹4,000
Program Fee
(non-refundable)
₹56,000
₹7,156 x 9 months
Total
₹60,000
₹68,404
** GST at 18% extra, as applicable
Why choose this Programme?
Learn. Apply. Accelerate Your Marketing Career.
World-Class Faculty
Learn from BITSoM’s faculty with experience from institutes like Harvard, Wharton, and NYU Stern and many more.
Try-Relevant Curriculum
Integrated AI and digital marketing strategies designed for today’s market.
Hands-On Experience
Build skills through live projects and a capstone marketing campaign.
Live Mentorship
Engage in real-time online classes with personalized expert guidance.
Prestigious Certification
Earn a certificate from BITSoM and PwC Academy recognized by global employers.
Placement Opportunities
Receive resume reviews, career coaching, and placement support to land your dream role. (Eligibility: 7+ CGPA and 65% attendance)
Certificate Eligibility: Minimum 65% overall attendance and 35% marks in cumulative evaluations score.
About BITSoM
- BITSoM (BITS School of Management), is a global business school under the aegis of BITS Pilani, an Institution of Eminence - a recognition bestowed by the Government of India in 2020.
- Located in the Mumbai Metropolitan Region, BITSoM offers a transformative learning experience driven by world-class faculty who bring expertise from top global institutions like Harvard, Wharton, NYU Stern, and SMU Singapore.
- With a foundation in academic rigor and leadership skills, BITSoM nurtures future leaders equipped to excel in an ever-changing global business landscape.
Admission Process
Clear Qualifier Test
Clear the qualifier test to be eligible for the program
Complete Counselling
Only shortlisted candidates go through the counselling process
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.
Topics Covered
- • Verbal Ability & Critical Thinking
- • Logical Reasoning
- • Marketing
- • AI Awareness
Registration Process
- • Pay ₹99 and choose your slot
- • Unlock free mock test and practice before your final exam
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.
Contact Us
Certification in
Business Analytics with Gen & Agentic AI
Certification in
Business Analytics with Gen & Agentic AI
Industry Partner PwC Academy
- Learn from Industry leaders and top international faculty from Harvard, Wharton, and more.
- 6+ tools like Excel, SQL, Python, ChatGPT
- Placement opportunities and career coaching
Qualifier Test Date
January 25, 2026
Program Duration
6 Months
Eligibility
12th Pass and Above
Learning Mode
Online
Program Chair
Dr. Saravanan Kesavan
Dean and Professor of Operations, BITSoM
Time Commitment
8-10 Hrs/ week
Qualifier Test Date
January 25, 2026
Program Duration
6 Months
Eligibility
12th Pass and Above
Learning Mode
Online
Program Chair
Dr. Saravanan Kesavan
Dean and Professor of Operations, BITSoM
Time Commitment
8-10 Hrs/ week
2.4K+ students have already registered
What Will You Learn?
This 6-month course teaches you how to use Generative AI, Agentic AI & Data Analytics to make strategic, data-driven business decisions through practical projects and real-world case studies. You'll gain hands-on experience in data analysis, predictive modeling, and decision-making frameworks.
Toolkit
Course Details
Duration
6 Months
Course Mode
Online
Certification
From BITSoM and PwC Academy
Module 1a: Foundations of Business Analytics & Data Science
Business problem framing, KPIs, Excel modelling, basic statistics, MySQL, distributions, hypothesis testing, A/B testing.
Module 1b: Data Visualization & Case Studies
Visualization Best Practices & Perception, Choosing the Right Chart, Introduction to Tableau and Power BI, Building Interactive Dashboards, Data Storytelling Frameworks, Advanced Visualization Techniques.
Module 2: Data Warehouse for AI
Data is the foundation for Artificial Intelligence models. Generative AI models rely on large amounts of high-quality data to learn patterns, relationships, and structures. Understanding various data stores helps students appreciate how data is stored, managed, and retrieved. This data is usually stored in a variety of data stores viz. relational databases, NoSQL databases, data lakes. Knowledge of these data stores will enable students process various data formats
Module 3: Python Crash Course for GenAI
Learn basic Python required for GenAI- Data Types, Flow Structures, Data Structures, Functions, Libraries, Python in Data Science.
Module 4: Machine Learning Basics
Supervised and unsupervised learning, time series analysis, churn prediction, forecasting. Examples include sentiment analysis for customer reviews.
Module 5: Neural Networks & Deep Learning
Understand the transition from traditional machine learning to neural networks and deep learning and their common applications.
Module 6: Introduction to LLM & Prompt Engineering
You can use LLM for content creation, computer programming, problem solving, dataset generation, and learning. In this model, you will learning how to effectively leverage LLM to improve your productivity. You will be learning basic prompting strategies such as setting the context, role prompting, and tuning model settings. You will also learn advanced prompting methods such as chain-of-thought (COT) prompting.
Module 7: Building your own AI agents
Supervised and unsupervised learning, time series analysis, churn prediction, forecasting.
Meet our fabulous mentors
Fee Structure
Qualifier Test Fee
(non-refundable)
Option 1
Upfront
Option 2
EMI
(Through Our NBFC Partners)
Secure Seat Fee
(non-refundable)
₹4,000
₹4,000
Programme Fee
(non-refundable)
₹46,000
₹5,878 x 9 months
Total
₹50,000
( + GST **)
₹56,902
( + GST **)
** GST at 18% extra, as applicable
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.
Real-World AI Projects
Gain hands-on experience by building and deploying six AI-driven products, supported by real case studies provided by PwC.
Expert Faculty
Learn from industry leaders and top-tier faculty with expertise from leading global institutions like Harvard, Wharton, NYU Stern, and SMU Singapore.
Campus Immersion
3-day campus immersion for in-depth interaction with experts and networking with fellow students.
BITSoM Joining Kit
Receive a joining kit with an ID card, admission letter, T-shirt, and other essential resources to help you start your journey.
AI Portfolio Development
Create a standout portfolio by working on AI-driven business solutions, showcasing your ability to tackle real-world problems.
Placement Opportunities
Receive resume reviews, career coaching, and placement support to land your dream role. (Eligibility: 7+ CGPA and 75% attendance)
Certificate Eligibility: Minimum 75% overall attendance and 35% marks in cumulative evaluations score.
About BITSoM
- BITSoM (BITS School of Management), an integral part of the esteemed BITS Pilani legacy, stands as a beacon of excellence in business education.
- Located in the Mumbai Metropolitan Region, BITSoM offers a transformative learning experience driven by world-class faculty who bring expertise from top global institutions like Harvard, Wharton, NYU Stern, and SMU Singapore.
- With a foundation in entrepreneurial spirit and academic rigor, BITSoM nurtures future leaders equipped to excel in an ever-changing global business landscape.
Admission Process
Clear Qualifier Test
Clear the qualifier test to be eligible for the program
Complete Counselling
Only shortlisted candidates go through the counselling process
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.
Topics Covered
- • Quantitative Aptitude
- • Logical Reasoning
- • Verbal Ability
- • Data Interpretation
Registration Process
- • Pay ₹99 and choose your slot
- • Unlock free mock test and practice before your final exam
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.
Contact Us
Certification in
Data Driven Decision Making
with GenAI
from Rotman School of Management, University of Toronto
Certification in
Data Driven Decision Making
with GenAI
from
Rotman School of Management, University of Toronto
- Learn from Rotman's Faculty - Ranked #1 in Canada & #13 globally (QS 2026)
- 5+ tools and Libraries like Python, Google Colab, Pandas, NumPy
- Build a real business case with a hands-on Capstone Project
Qualifier test date
January 25, 2026
Course Duration
5 months
Seats per Cohort
150
Time Commitment
8-10 Hours/Week
Eligibility
12th Pass and Above
Learning Mode
Online
Qualifier test date
January 25, 2026
Course Duration
5 months
Seats per Cohort
150
Time Commitment
8-10 Hours/Week
Eligibility
12th Pass and Above
Learning Mode
Online
1.2K+ students have already registered
What Will You Learn?
This 5 month Executive Program equips participants with the strategic frameworks and practical tools to harness data and Generative AI for superior business outcomes. Learn to apply Generative AI for data preparation, insight generation, and scenario planning, culminating in mastery of Prescriptive Analytics and decision optimization. The curriculum decodes AI outputs, focuses on ethical implementation, and empowers you to build a robust, data-driven organizational strategy.
Toolkit
Course Details
Duration
5 Months
Course Mode
Online
Certification
Rotman School of Management, University of Toronto
Module 1: Python Programming Fundamentals
- Setting up the Environment: Accessing and utilizing Google Colab for cloud-based coding
- Basic Data Types and Variables: Working with numbers, strings, and booleans
- Core Data Structures: Mastering Python's Lists, Tuples, Dictionaries, and Sets
- Control Flow: Using if/else statements and for loops for decision-making and iteration
- Functions: Defining and calling reusable blocks of code
Module 2: The Data Handling and Visualising Toolkit: Pandas and Seaborn
- The Pandas DataFrame: Importing data from CSV and Excel files
- Initial Data Inspection: Summarizing data types and basic statistics (e.g.,using .describe())
- Data Visualization with Matplotlib/Seaborn: Creating professional linecharts, histograms, scatter plots, and box plots
- Visual Best Practices: Designing truthful, compelling charts that avoid misleading interpretations
Module 3: Statistical Thinking
- Descriptive Statistics: Calculating and interpreting Mean, Median, and Mode, Variance, and Standard Deviation
- Probability and Distributions: Focus on the characteristics and importance of the Normal Distribution
- Inferential Concepts: Intuitive understanding of Sampling, Central Limit Theorem, and the logic of Hypothesis Testing
- Relationship Analysis: Understanding Correlation and Covariance
(Delivery by Masai)
Our Instructors
Fee Structure
Qualifier Test Fee
(non-refundable)
Option 1
Upfront
Option 2
EMI
(Through Masai's NBFC Partners)
Secure Seat Fee
(non-refundable)
₹4,000
₹4,000
Program Fee
(non-refundable)
₹71,000
₹13,253 x 6 months
Total
₹75,000
₹83,518
** GST at 18% extra, as applicable
Why choose this course?
Learn Data Driven Decision Making via Global Faculty from Rotman School of Management
Certification:
Receive a certificate of Completion from Rotman School of Management recognizing your achievement.
Learn from World-Class Faculty:
Learn from globally renowned faculties from Rotman School of Management via live sessions.
Follow a Globally Benchmarked Curriculum:
Master AI through an industry-aligned curriculum that blends global best practices with India-specific use cases and real-world case studies- ensuring you're future-ready.
Craft a Powerful AI Portfolio:
Create a personalized project portfolio featuring your AI solutions and MVPs designed to impress recruiters and showcase your capabilities.
About Rotman School of Management
- The Rotman School of Management is a premier institute, part of the prestigious University of Toronto. The business school was formally established in 1950 as the Institute of Business Administration. It was renamed the Joseph L. Rotman School of Management in 1997 in honour of its principal benefactor. It has rapidly grown into a global center for management education, earning consistent recognition for its innovative research and unique approach to leadership development.
- Global Recognition: Ranked #13 in QS world ranking in 2026 and #1 in Canada for the Full-time MBA (QS Rankings) consistently ranked among the world's top research schools.
- Visionary Leadership: Rotman’s mission is to be a catalyst for positive change—rooted in transformative learning, informed by original insight, and inspired by the biggest challenges in business and society.
- Creative Destruction Lab (CDL): Home to the world-renowned Creative Destruction Lab (CDL), a unique program that provides resources and mentorship to massively scalable, seed-stage companies.
Admission Process
Clear Qualifier Test
Clear the qualifier test to be eligible for the program
Complete Counselling
Only shortlisted candidates go through the counselling process
Start Learning
Learn from World’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.
Topics Covered
- • Verbal Ability
- • Logical Reasoning
- • Quantitative Aptitude
- • Basic Maths
Registration Process
- • Pay ₹99 and choose your slot
- • Unlock free mock test and practice before your final exam
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.
