Certificate Programme in
Data Analytics, GenAI & Execution
from IIM Sirmaur

Certificate Programme in
Data Analytics, GenAI & Execution
from
IIM Sirmaur

Master Data Analytics to Drive Every Department Forward - No Coding Experience Needed

Learn from IIM faculty and industry experts

Get hands-on with SQL, Power BI, GenAI and advanced data analytics tools

Real Analytics Projects & Capstone Experience

Qualifier Test Date

January 4, 2026

Program Duration

6 Months

Eligibility

12th Pass and Above

Learning Mode

Online

Time Commitment

8-10 Hours/Week

Qualifier Test Date

January 4, 2026

Program Duration

6 Months

Eligibility

12th Pass and Above

Learning Mode

Online

Time Commitment

8-10 Hours/Week

2.3K+ students have already registered

What Will You Learn?

This program builds a strong foundation in analytics, Generative AI, automation, and business statistics, with practical applications across HR, marketing, and operations analytics. You’ll explore AI fairness, text analytics, clustering, predictive modelling, consumer analytics, forecasting, and sentiment analysis, while learning to design interactive dashboards and automation workflows using tools like Power BI, Orange, PSPP, Python, Seaborn, and Matplotlib. The program combines theory with hands-on projects and a final capstone, enabling you to apply AI-driven insights and automation to real-world business problems.

Toolkit

Course Details

Duration

6 Months

Course Mode

Online

Certification

From IIM Sirmaur

Module I: Fundamentals of Analytics- Application of GenAI

Introduction to Artificial Intelligence
Industrial applications of AI
Bias and fairness in AI Systems

Module II: Fundamentals of Analytics- Business Statistics

Descriptive Statistics and Exploratory Data Analytics
Statistical Inferences
Linear Regression
Logistic Regression Analysis
Clustering and Introduction to Unsupervised Learning

Module III: Text Analytics

Sentiment Analysis
Topic Modelling

Module IV: HR Analytics

Predict Attrition & Optimize Hiring

Designing Interactive Dashboards on PowerBI
HR metrics and Dashboards
Workforce Predictive Modelling
Turnover Predictive Modelling
Managing Employee Performance using Analytics

Module V: Marketing Analytics

Customer Segmentation & ROI

Introduction to marketing analytics
Segmentation and Positioning
Product analytics
Marketing mix modelling
Consumer analytics

Module VI : Operation Analytics

Supply Chain Forecasting

Fundamentals of Operation Analytics
Retail and e-commerce operations
Product Process Matrix
Theory of Constraints
Quality Management (Lean & Six-Sigma)
Forecasting

Module VII: Capstone Project

Instructors & Industry Experts

Dr. Sonakshi Gupta

Assistant Professor, Organizational Behavior & Human Resources Management

Dr. Sonakshi Gupta holds a Ph.D. (FPM) from IIM Indore, and a Master’s and Bachelor’s degree from Banaras Hindu University in Personnel Management, In...

Dr.Shashikant Srivastava

Associate Professor, Information Technology & Systems

Dr. Shashi Kant Srivastava is a faculty in the area of IT & Systems at the Indian Institute of Management Sirmaur, India. He received his FPM (Ph.D.) ...

Alekh Gour

Associate Professor, Information Technology & Systems

Dr. Alekh Gour holds a Ph.D. from NIT Bhopal and a degree in Computer Science Engineering, with over a decade of academic experience. His teaching and...

Dr. Sonakshi Gupta

Assistant Professor, Organizational Behavior & Human Resources Management

Dr. Sonakshi Gupta holds a Ph.D. (FPM) from IIM Indore, and a Master’s and Bachelor’s degree from Banaras Hindu University in Personnel Management, In...

Dr.Shashikant Srivastava

Associate Professor, Information Technology & Systems

Dr. Shashi Kant Srivastava is a faculty in the area of IT & Systems at the Indian Institute of Management Sirmaur, India. He received his FPM (Ph.D.) ...

Alekh Gour

Associate Professor, Information Technology & Systems

Dr. Alekh Gour holds a Ph.D. from NIT Bhopal and a degree in Computer Science Engineering, with over a decade of academic experience. His teaching and...

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

Program Fee

(non-refundable)

₹56,000

₹7,156 x 9 months

Total

₹60,000

₹68,404

Certification in
Agentic Systems and Design

Learn from IIT faculty and industry mentors

15+ frameworks and tools like LangChain, Docker, Kubernetes

Capstone Project - Autonomous System Build

Qualifier Test Date

January 25, 2026

Course Duration

6 Months

Time Commitment

8-10 Hours/Week

Eligibility

12th Pass and Above

Learning Mode

Online

Qualifier Test Date

January 25, 2026

Course Duration

6 Months

Time Commitment

8-10 Hours/Week

Eligibility

12th Pass and Above

Learning Mode

Online

2.2K+ students have already registered

What Will You Learn?

Drive your career forward by mastering Agentic AI. Learn to design, govern, and deploy autonomous agents that solve complex business challenges and fortify digital assets. Move beyond simple Generative AI to become a high-impact professional, ready to lead with strategic governance and build robust solutions using 15+ leading frameworks and tools.

Toolkit

Course Details

Duration

6 Months

Course Mode

Online

Certification

From iHUB DivyaSampark, IIT Roorkee

Module 1: Agentic Foundations and Architecture

Defining Agentic Systems: Core components (planning, reasoning, memory, action).
The Business Case for Agents: Identifying high-impact scenarios.
Understanding the LLM Layer: LLMs as the brain for agents.
Introduction to Frameworks: Overview of LangChain, CrewAI, and AutoGen.

Module 2: Agent Components – Memory, Tools, and RAG

Advanced Prompt Engineering: Crafting effective system prompts and self-correction.
The Role of Memory: Implementing short-term and long-term memory.
Retrieval-Augmented Generation (RAG): Grounding agents in proprietary data.
Tool Integration (Functions): Connecting agents to external APIs and databases.

Module 3: Hands-On Single-Agent Development and Use Cases

Setting up the Agent Environment: Configuring the development environment.
Building Your First Agent: Implementing planning, tools, and RAG in a single-agent system.
Testing and Iteration: Debugging, evaluation, and adaptive feedback loops.
Real-World Use Cases: Streamlining tasks in finance, HR, and content creation.

Module 4: Multi-Agent Collaboration and Deployment Strategy

Designing Multi-Agent Workflows: Creating teams of specialised agents and sequential tasks.
Framework Deep Dive: Hands-on practice with CrewAI and AutoGen roles and communication.
Deployment and Monitoring: Strategising deployment, observability, and logging.
Governance and Ethical Scaling: Protocols for ethical use and data privacy.
No-Code Agent Builders: Introduction to n8n, make.com, and ChatGPT agents.

Module 5: Capstone Project – Autonomous System Build

Full-Cycle Agent Design: Problem definition, tool identification, and memory structure.
Prototyping a Multi-Agent System: Building a functional system using LangChain, CrewAI, or AutoGen.
Strategic Pitch: Creating a business case with ROI, ethics, and deployment details.

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"

Instructors

Suman Banerjee

Assistant Professor, Computer Science & Engineering, IIT Jammu

Dr. Suman Banerjee is an Assistant Professor in the Discipline of Computer Science & Engineering at IIT Jammu. He completed his Ph.D. at IIT Kharagpur...

Anjali Mishra

Product Manager II, Microsoft

Product Manager, Microsoft Driving innovation in Azure Migrate & Azure Arc at Microsoft, Expertise in discovery tooling, onboarding flows & roadmap ex...

Abhinandan S.P.

Assistant Professor in Data Science and Engineering IIT Palakkad

Dr. Abhinandan S. P. is an Assistant Professor in the Mehta Family School of Data Science and Artificial Intelligence at the Indian Institute of Techn...

Suman Banerjee

Assistant Professor, Computer Science & Engineering, IIT Jammu

Dr. Suman Banerjee is an Assistant Professor in the Discipline of Computer Science & Engineering at IIT Jammu. He completed his Ph.D. at IIT Kharagpur...

Anjali Mishra

Product Manager II, Microsoft

Product Manager, Microsoft Driving innovation in Azure Migrate & Azure Arc at Microsoft, Expertise in discovery tooling, onboarding flows & roadmap ex...

Abhinandan S.P.

Assistant Professor in Data Science and Engineering IIT Palakkad

Dr. Abhinandan S. P. is an Assistant Professor in the Mehta Family School of Data Science and Artificial Intelligence at the Indian Institute of Techn...

Fee Structure

Qualifier Test Fee

(non-refundable)

₹99

Option 1

Upfront

Option 2

EMI

(Through Masai's NBFC Partners)

Secure Seat Fee

(non-refundable)

₹4,000

Program Fee

(non-refundable)

₹46,000

₹5,878 x 9 months

Total

₹50,000

( + GST **)

₹56,902

( + GST **)

** GST at 18% extra, as applicable

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.

Our Instructors & Industry Mentors

Dr. Surya Prakash

Professor, Department of Computer Science & Engineering, IIT Indore

Prof. Surya Prakash is a distinguished academic with over 12 years of experience in teaching and research, dedicated to nurturing some of the brightes...

Varun Raste

Data Scientist AIML

A seasoned Analytics Professional with 5+ years of experience in Machine Learning, Data Science, and CPG Consulting, skilled in fraud modeling, time s...

Dr. Surya Prakash

Professor, Department of Computer Science & Engineering, IIT Indore

Prof. Surya Prakash is a distinguished academic with over 12 years of experience in teaching and research, dedicated to nurturing some of the brightes...

Varun Raste

Data Scientist AIML

A seasoned Analytics Professional with 5+ years of experience in Machine Learning, Data Science, and CPG Consulting, skilled in fraud modeling, time s...

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

Program Fee

(non-refundable)

₹51,085

₹6,528 x 9 months

Total

₹55,085

( + GST **)

₹62,752

( + GST **)

** GST at 18% extra, as applicable

Certificate Programme in Data Analytics, GenAI & Execution from IIM Sirmaur

Certificate Programme in Data Analytics, GenAI & Execution from IIM Sirmaur

Qualifier Test Date

Program Duration

Eligibility

Learning Mode

Time Commitment

Qualifier Test Date

Program Duration

Eligibility

Learning Mode

Time Commitment

2.3K+ students have already registered

What Will You Learn?

Toolkit

Course Details

Module I: Fundamentals of Analytics- Application of GenAI

Module II: Fundamentals of Analytics- Business Statistics

Module III: Text Analytics

Module IV: HR Analytics

Module V: Marketing Analytics

Module VI : Operation Analytics

Module VII: Capstone Project

Instructors & Industry Experts

Dr. Sonakshi Gupta

Dr.Shashikant Srivastava

Alekh Gour

Dr. Sonakshi Gupta

Dr.Shashikant Srivastava

Alekh Gour

Fee Structure

Certification in Agentic Systems and Design

Certification in Agentic Systems and Design

Qualifier Test Date

Course Duration

Time Commitment

Eligibility

Learning Mode

Qualifier Test Date

Course Duration

Time Commitment

Eligibility

Learning Mode

2.2K+ students have already registered

What Will You Learn?

Toolkit

Course Details

Module 1: Agentic Foundations and Architecture

Module 2: Agent Components – Memory, Tools, and RAG

Module 3: Hands-On Single-Agent Development and Use Cases

Module 4: Multi-Agent Collaboration and Deployment Strategy

Module 5: Capstone Project – Autonomous System Build

Instructors

Suman Banerjee

Anjali Mishra

Abhinandan S.P.

Suman Banerjee

Anjali Mishra

Abhinandan S.P.

Fee Structure

** GST at 18% extra, as applicable

Certification in Artificial Intelligence and Machine Learning

Certification in Artificial Intelligence and Machine Learning

Foundation Starts

Course Duration

Time Commitment

Eligibility

Learning Mode

Foundation Starts

Course Duration

Time Commitment

Eligibility

Learning Mode

2.4K+ students have already registered

What Will You Learn?

Toolkit

Course Details

Module-1: AIM101 – Introduction to AI and ML for Beginners

Module-2: AIM201 – Core Machine Learning Techniques and Practices

Module-3:AIM301 – Advanced AI: Deep Learning, NLP, and Emerging Trends

Certificate Programme in
Data Analytics, GenAI & Execution
from IIM Sirmaur

Certificate Programme in
Data Analytics, GenAI & Execution
from
IIM Sirmaur

Certification in
Agentic Systems and Design

Certification in
Agentic Systems and Design

Certification in
Artificial Intelligence and
Machine Learning

Certification in
Artificial Intelligence and
Machine Learning