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
April 12, 2026
Course Duration
6 weeks
Seats per Cohort
150
Time Commitment
8-10 Hours/Week
Eligibility
12th Pass and Above
Learning Mode
Online
Qualifier test date
April 12, 2026
Course Duration
6 weeks
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
6 weeks
Course Mode
Online
Certification
Rotman School of Management, University of Toronto
Scientific Thinking in Business: Prescriptive Analysis
- Descriptive vs Predictive vs Prescriptive
- Causal Inference
- Designing Business Experiments (A/B Testing)
- Hypothesis Testing logic
- Moving from 'Data says X' to 'We should do Y'.
Decision Intelligence & Strategic Frameworks
- The Anatomy of a Decision
- Decision Biases (Anchoring, Confirmation)
- Decision Matrix Analysis
- The 'Pre-Mortem' Technique
- Using AI to stress-test decisions
- Metrics for Decision Quality.
AI Strategy & Collaborative Intelligence
- Buy vs Build in AI
- Understanding RAG (Retrieval Augmented Generation) conceptually
- Working with Data/Tech teams
- Defining AI Requirements
- Automation possibilities vs limitations
- Data Privacy & Governance.
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
Certification in Artificial Intelligence and Machine Learning by Vishlesan i-Hub, IIT Patna,
Certification in Artificial Intelligence and Machine Learning by
Vishlesan i-Hub, IIT Patna,
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 Instructor Team
*Note: Instructors teaching your batch may change based on specific module expertise, or circumstances such as personal emergencies, unavailability etc.
Fee Structure
Option 1
Upfront
Option 2
EMI
(Through Our NBFC Partners)
Qualifier Test Fee*
₹99
₹99
Secure Seat Fee
(non-refundable)
₹4,000
₹4,000
Programme Fee
(non-refundable)
₹53,085
₹6,783 x 9 months
Total
₹57,184
( + GST **)
₹65,146
+ GST **
** GST at 18% extra, as applicable
Certification in Agentic Systems and Design by iHUB DivyaSampark, IIT Roorkee
Certification in Agentic Systems and Design by
iHUB DivyaSampark, IIT Roorkee
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 Instructor Team
*Note: Instructors teaching your batch may change based on specific module expertise, or circumstances such as personal emergencies, unavailability etc.
Fee Structure
Option 1
Upfront
Option 2
EMI
(Through Our NBFC Partners)
Qualifier Test Fee*
₹99
₹99
Secure Seat Fee
(non-refundable)
₹4,000
₹4,000
Programme Fee
(non-refundable)
₹46,000
₹5,878 x 9 months
Total
₹50,099
( + GST **)
₹57,001
+ 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
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)
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
Certification in Data Analytics with Gen & Agentic AI by Vishlesan i-Hub, IIT Patna,
Certification in Data Analytics with Gen & Agentic AI by
Vishlesan i-Hub, IIT Patna,
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 Instructor Team
*Note: Instructors teaching your batch may change based on specific module expertise, or circumstances such as personal emergencies, unavailability etc.
Fee Structure
Option 1
Upfront
Option 2
EMI
(Through Our NBFC Partners)
Qualifier Test Fee*
₹99
₹99
Secure Seat Fee
(non-refundable)
₹4,000
₹4,000
Programme Fee
(non-refundable)
₹51,085
₹6,528 x 9 months
Total
₹55,184
( + GST **)
₹62,851
+ GST **
** GST at 18% extra, as applicable
Product Management and Agentic AI by Vishlesan i-Hub, IIT Patna,
Product Management and Agentic AI by
Vishlesan i-Hub, IIT Patna,
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 Instructor Team
*Note: Instructors teaching your batch may change based on specific module expertise, or circumstances such as personal emergencies, unavailability etc.
Fee Structure
Option 1
Upfront
Option 2
EMI
(Through Our NBFC Partners)
Qualifier Test Fee*
₹99
₹99
Secure Seat Fee
(non-refundable)
₹4,000
₹4,000
Programme Fee
(non-refundable)
₹51,085
₹6,528 x 9 months
Total
₹55,184
( + GST **)
₹62,851
+ GST **
** GST at 18% extra, as applicable
Certification in
Cybersecurity and Ethical
Hacking with applied AI
Certification in
Cybersecurity and Ethical
Hacking with applied AI
- Learn from industry experts and top faculty with experience from top global institute.
- Get access to Live classes, instant academic support, and an evolving curriculum aligned with industry trends.
- Build market-ready cybersecurity skills through real-world ethical hacking and defense projects with guidance from PwC Academy mentors.
Batch Starts
January 06, 2026
Course Duration
6 Months
Eligibility
12th Pass and Above
Learning Mode
Online
Time Commitment
8-10 Hours/Week
Batch Starts
January 06, 2026
Course 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?
Elevate your cybersecurity prowess. Learn to conduct ethical hacks, defend against sophisticated threats, and integrate AI for unparalleled security. Drive your career forward with a robust portfolio built from hands-on labs simulating real-world cyberattacks and defenses. Build skills to secure your place as a high-impact cybersecurity professional, ready to lead with data-driven strategies and fortify digital assets.
Toolkit
Course Details
Duration
6 Months
Course Mode
Online
Certification
From iHUB DivyaSampark IIT Roorkee and PwC Academy
Module 1 — Cybersecurity Foundations & Evolving Threat Landscapes
- 1.1 Introduction to Cybersecurity Fundamentals
- Core concepts: Confidentiality, Integrity, Availability (CIA Triad)
- Threat actors & attack vectors
- Key principles: Defense-in-Depth, Least Privilege, Zero Trust
- Frameworks & standards: NIST, ISO 27001 (overview), CIS Controls
- 1.2 Networking Essentials for Security
- TCP/IP model & key protocols
- Network devices and their security roles
- Topologies, segmentation & wireless security
- Tools: Wireshark, tcpdump
- Lab: Network-traffic analysis with Wireshark
- 1.3 Understanding the Evolving Threat Landscape
- Current & emerging cyber-threat trends
- Impact of new technologies on security
- Threat-intelligence fundamentals
- Lab: Case-study analysis of a recent cyber-attack
Module 2 — Ethical Hacking, Footprinting & Vulnerability Assessment
- 2.1 Ethical Hacking Methodologies
- Phases of ethical hacking
- Legal & ethical considerations
- Intro to penetration-testing toolsets
- Tools: Kali Linux
- Lab: Setting up Kali VM & vulnerable targets
- 2.2 Footprinting & Reconnaissance Techniques
- Passive reconnaissance (OSINT)
- Active reconnaissance: scanning & enumeration
- Tools: Nmap, Shodan, theHarvester, dig / nslookup
- Lab: Comprehensive OSINT + active recon
- 2.3 Vulnerability Assessment Strategies
- Vulnerability-management lifecycle
- Scanning tools & workflows
- CVE / CVSS basics; spotting common vulns
- Tools: OpenVAS, Nessus (trial)
- Lab: Run a vulnerability scan & interpret results
Module 3 — Advanced Network Security & Incident Response
- 3.1 Advanced Network-Security Controls
- Firewalls deep dive: WAFs, NGFWs
- IDS / IPS: signature vs. anomaly detection
- VPNs, NAC, DDoS mitigation
- Tools: Snort, Wazuh, iptables
- Lab: Configure firewall rules & analyse IDS/IPS alerts
- 3.2 Security Operations Centre (SOC) & SIEM
- SOC roles, tiers & workflows
- SIEM basics: log collection, correlation, alerting
- Tools: Splunk (community), ELK Stack
- Lab: Security-log analysis inside a SIEM
- 3.3 Comprehensive Incident Response
- Incident-response lifecycle & planning
- Digital-forensics basics for IR
- Effective incident communication
- Lab: Build a basic IR playbook
Module 4 — Secure Coding Practices & Application Security
- 4.1 Secure-SDLC Integration & Threat Modelling
- Embedding security in each SDLC phase
- STRIDE threat-modelling workshop
- Security-by-design principles
- Lab: Build a simple threat model
- 4.2 Web & API Vulnerabilities (OWASP)
- OWASP Top 10 deep dive
- API-security best practices
- Tools: Burp Suite (community), OWASP ZAP, SQLMap
- Lab: Exploit common web/API vulns in a safe environment
- 4.3 Secure Coding Best Practices
- Data protection & cryptography essentials
- Secure configuration, error handling & logging
- Dependency / supply-chain security
- Tools: Bandit, Snyk (SCA)
- Lab: Code review & remediation exercise
Module 5 — AI-Driven Cybersecurity: Detection, Automation & Defense
- 5.1 Leveraging AI/ML for Cybersecurity
- Fundamentals of ML in security contexts
- Use-cases: anomaly detection, malware classification, etc.
- Data requirements & pitfalls
- Tools: scikit-learn, TensorFlow (basic)
- Lab: Train a simple malware-detection model
- 5.2 Security Automation & Orchestration with AI
- SOAR platform concepts
- Automated incident triage & response
- AI-driven vulnerability prioritisation
- Tools: Cortex (concepts), TheHive, Python scripting
- Lab: Design an automated security workflow
- 5.3 Adversarial AI & Defensive Techniques
- How attackers exploit AI/ML
- Basics of adversarial machine-learning (AML)
- Defensive counter-measures
- Tools: IBM ART, Google AutoML (conceptual)
- Lab: Identify & discuss adversarial examples
Module 6: Project pathway by PwC Academy
- Work on projects like
- Cybersecurity Foundations (Advanced Refresh)
- Compliance Gap Analysis Report
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 Instructor Team
*Note: Instructors teaching your batch may change based on specific module expertise, or circumstances such as personal emergencies, unavailability etc.
Fee Structure
Application 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)
₹56,000
₹7,156 x 9 months
Total
₹60,000
₹68,404
** GST at 18% extra, as applicable
Certification in Product Management with Applied AI Program by iHUB DivyaSampark, IIT Roorkee
Certification in Product Management with Applied AI Program by
iHUB DivyaSampark, IIT Roorkee
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 Instructor Team
*Note: Instructors teaching your batch may change based on specific module expertise, or circumstances such as personal emergencies, unavailability etc.
Fee Structure
Option 1
Upfront
Option 2
EMI
(Through Our NBFC Partners)
Qualifier Test Fee*
₹99
₹99
Secure Seat Fee
(non-refundable)
₹4,000
₹4,000
Programme Fee
(non-refundable)
₹58,000
₹7,411 x 9 months
Total
₹62,099
( + GST **)
₹70,798
+ GST **
** GST at 18% extra, as applicable
Industry Partner PwC Academy
Professional Certificate in Digital Marketing and Analytics with AI by BITSoM
Professional Certificate in Digital Marketing and Analytics with AI by
BITSoM
Instructors & Industry Experts
Dr. Srinivas Pingali
Adjunct Professor, BITSoM & Ex-Professor of Practice, IIM Udaipur
Professor Srinivas Pingali has over three decades of varied experience in education and training,product development and, sales & marketing in multina...
Dr. Mark Ratchford
Professor of Practice of Marketing, Tulane University
Dr. Mark Ratchford is currently a Professor of the Practice of Marketing at Tulane University. Previously, he served as an Assistant Professor of Mark...
Dr. Ashish Galande
Assistant Professor, State University of New York at Plattsburgh
Dr. Ashish Galande is a marketing academic and industry professional with a distinguished background in both research and corporate analytics. He hold...
Dr. Srinivas Pingali
Adjunct Professor, BITSoM & Ex-Professor of Practice, IIM Udaipur
Professor Srinivas Pingali has over three decades of varied experience in education and training,product development and, sales & marketing in multina...
Dr. Mark Ratchford
Professor of Practice of Marketing, Tulane University
Dr. Mark Ratchford is currently a Professor of the Practice of Marketing at Tulane University. Previously, he served as an Assistant Professor of Mark...
Dr. Ashish Galande
Assistant Professor, State University of New York at Plattsburgh
Dr. Ashish Galande is a marketing academic and industry professional with a distinguished background in both research and corporate analytics. He hold...
Fee Structure
Option 1
Upfront
Option 2
EMI
(Through Our NBFC Partners)
Qualifier Test Fee*
₹99
₹99
Secure Seat Fee
(non-refundable)
₹4,000
₹4,000
Programme Fee
(non-refundable)
₹56,000
₹7,156 x 9 months
Total
₹60,099
( + GST **)
₹68,503
+ GST **
** GST at 18% extra, as applicable
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.
- 6+ tools like Excel, SQL, Python, ChatGPT
- Placement opportunities and career coaching
Free Trip to AI Conference in Dubai!
Be one of the Top 20 students to unlock this opportunity.
Qualifier Test Date
April 12, 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
April 12, 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)
₹48,000
₹6,133 x 9 months
Total
₹52,000
( + GST **)
₹59,197
( + GST **)
** GST at 18% extra, as applicable
Minor in Artificial Intelligence & Data Science by CCE, IIT Mandi
Minor in Artificial Intelligence & Data Science by
CCE, IIT Mandi
Instructor and Industry Mentors
Fee Structure
Option 1
Upfront
Option 2
EMI
(Through Our NBFC Partners)
Qualifier Test Fee*
₹99
₹99
Secure Seat Fee
(non-refundable)
₹4,000
₹4,000
Programme Fee
(non-refundable)
₹66,000
₹8,433 x 9 months
Total
₹70,099
( + GST **)
₹79,996
+ GST **