Executive Program in AI, ML and Generative AI for Business Transformation
An Executive Certificate Program by Continuing Education Centre (CEC), IIT Roorkee
Move beyond AI learning. Build a real AI solution for your business.
Delivered in collaboration with Zero Zeta. Designed for business transformation, strategic decision-making, and real-world application.
Why this program now
AI is no longer a future initiative reserved for specialist teams. It is becoming central to how enterprises transform business processes, improve decision quality, increase operational efficiency, redesign workflows, and build new growth opportunities.
Senior leaders today are not only expected to understand AI, but also to decide where it matters, what is feasible, what should be prioritised, and how business value should be measured.
Most organisations are no longer asking whether AI matters. The real challenge is deciding where to apply it, how to evaluate, govern responsibly, and how to turn experimentation into measurable business outcomes.
Why this program works
Many AI programs either stay at a broad awareness level or become implementation-centric too quickly. That leaves senior leaders with fragmented understanding and limited ability to prioritize AI initiatives, make informed decisions, and drive adoption across teams.
This program is structured to close that gap by helping participants:
- Understand how AI, ML, and Generative AI enable business transformation
- Identify high-impact use cases aligned to enterprise priorities
- Ask relevant questions across technology, analytics, and business functions
- Identify capability gaps, adoption barriers, and the functional support required for AI execution
- Connect cutting-edge AI frameworks, such as LLMs, retrieval workflows, and agentic systems, to organisational needs
- Apply learning to a business-relevant capstone project
- Evaluate AI initiatives & solutions for feasibility, governance, risk, and ROI
Who This Program Is For
This program is designed for experienced professionals and business leaders who are responsible for performance, execution, and transformation in their organisations.
Ideal Participant Profiles
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CXOs and Vice Presidents: Senior executives driving organizational strategy and AI-led transformation.
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Founders and Business Leaders: Entrepreneurs and leaders shaping business direction and growth through AI adoption.
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Business Unit Heads and Department Heads: Leaders responsible for performance, execution, and transformation within their units.
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Senior Management and Decision Makers: Professionals evaluating, prioritising, and governing AI initiatives across the enterprise.
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Profit and Loss Owners: Leaders accountable for business outcomes and measuring ROI from AI investments.
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Senior Managers and Transformation Leaders: Driving change management and leading AI-powered business transformation programmes.
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Consultants and Client Partners: Advising clients on AI strategy, feasibility, and enterprise-wide adoption.
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Functional Leaders: Across operations, supply chain, procurement, quality, service, sales, marketing, customer success, and product development.
Eligibility
This program is for senior leaders and experienced professionals who want to identify practical AI opportunities, strengthen collaboration with technical teams, and guide AI adoption with clearer business judgment and stronger ROI orientation.
If you are comfortable with business tools, structured thinking, and cross-functional problem-solving, you can fully benefit from this program.
What Participants Will Gain
By the end of the program, participants will be able to:
Identify where AI initiatives fit business goals, operating priorities, and transformation agendas.
Understand how AI, ML, and Generative AI systems support decision-making and transform business operations.
Spot high-value use cases and workflows across functions and industries.
Assess AI solution choices across make, buy, or partner models.
Ask relevant questions of data science, technology, and functional teams.
Strengthen understanding of data, governance, and AI readiness.
Use no-code and low-code AI tools more effectively for faster adoption.
Assess feasibility, reliability, governance, risk, and ROI for effective investment decisions.
Apply learning to a capstone project linked to a real business challenge.
Program Themes and Modern AI Coverage
This program helps senior leaders build practical understanding across the modern AI landscape, without requiring a technical or programming background.
Core Areas Covered
- AI Strategy and Enterprise Adoption
- Machine Learning Foundations in the Business Context
- Generative AI in Business Workflows
- LLM-Driven Systems and Enterprise Use Cases
- Retrieval Workflows and RAG Fundamentals
- Agentic AI Concepts and Workflow Orchestration
- AI Evaluation, Reliability, Governance, and ROI
Business Contexts Where These Themes Matter
- Operational Efficiency
- AI-Enabled Decision Support
- Forecasting and Planning
- Customer Workflows and Engagement
- Workflow Redesign
- Quality and Defect Reduction
ChatGPT
Claude
Copilot
OpenAI
LangChain
Perplexity
Apply Learning to Real Business Challenges Through the Capstone Project
A core component of the program is the capstone project, where participants apply concepts covered in the program to real business challenges. The capstone is designed to help participants move beyond theory and identify areas where AI can support transformation within their own function, team, or organisation.
Design AI agents that help businesses improve customer acquisition and engagement.
- Customer segmentation and behaviour analysis
- Lead scoring and propensity prediction agents
- AI-powered campaign optimisation
- Conversational agents for customer engagement and follow-ups
- Customer lifetime value prediction
- OCR-based document and invoice data extraction
- Automated invoice reconciliation and matching
- Fraud detection and anomaly identification
- AI-powered invoice categorisation and validation
- Error detection and correction in financial records
- Personalised recommendation systems
- Intelligent inventory management agents
- Real-time stock optimisation
- Demand forecasting for retail products
- Loss prevention and fraud detection systems
- Predict vehicle queue lengths using traffic data
- Optimise signal timings for adaptive traffic control
- Reduce congestion, emissions, and idle time
- AI-based traffic pattern analysis for urban planning
- Early warning systems using weather pattern analysis
- Social media intelligence to identify affected regions
- Resource allocation and relief planning using predictive models
- AI chatbots for citizen communication and updates
- Drone-based surveillance and disaster monitoring
- Real-time incident detection
- Crowd density monitoring
- Safety alert systems for public events and venues
- Crop yield prediction models
- Plant health detection using leaf image analysis
- Weather-driven farming advisory systems
- Smart irrigation and resource planning
All capstone projects are mentored jointly by experienced AI practitioners and academic faculty, ensuring both practical industry relevance and strong conceptual grounding.
By the end of the program, you will have a demonstrable AI project that can be showcased to employers, leadership teams, or clients as proof of your ability to design and deploy AI solutions.
Where Our Learners Work
Learn by Applying AI to Business Problems
This program is designed for senior professionals seeking to transition from a conceptual understanding of AI to applying it with strategic business judgment and real-world impact.
Interactive live sessions help participants understand concepts through practical examples, hands-on tasks, business discussions, and enterprise use cases.
Each part of the program is organised to support progressive understanding through guided learning, assignments, and business application.
Participants gain practical exposure to current AI tools, workflows, and business use cases in an accessible learning format.
The learning journey includes reading resources, assignments, tutorials, capstone work, and 1:1 doubt clearing and support.
The focus stays on practical application, evaluation, and executive-level decision support rather than conceptual awareness only.
Program structure and modules
The program includes 65 hours of live weekend instruction, designed for working professionals. Each session is recorded and made available for structured revision and reinforcement.
Pedagogy & Delivery
- Live lectures
- Case study analysis
- Hands-on assignments
- Business case reviews
- Capstone project work
- 1:1 mentorship sessions
Hours Break-up
- Data-driven decision-making and AI overview
- Enterprise AI landscape and AI-first mindset
- Generative AI impact and live demos
- LLM Q&A, RAG systems, and AI agent workflows
- Industry use cases and adoption challenges
- Supervised and unsupervised machine learning
- ML vs GenAI vs agents and agentic AI workflows
- Expectation gaps and practical considerations
- Enterprise data availability and quality challenges
- Translating business problems into data problems
- Solution considerations and pretrained vs custom models
- ML, time series models, and LLMs for forecasting
- Retrieval and AI agents for forecasting
- Quality and defect data management
- Yield and cost control through AI
- AI-driven quality monitoring and early defect identification
- Operational waste and inefficiencies identification
- AI-driven workflow redesign
- Lean operations and maintenance integration
- Human-AI interaction and collaboration
- Risk and reliability assessment
- Operational impact measurement
- Cost savings quantification
- Practical use of OpenAI-led workflows
- Customer segmentation and churn modeling
- Classical ML techniques and clustering with XGBoost
- LLM-powered personalization
- LangChain orchestration and AI-driven customer workflows
- Probability and logit models
- LLM-driven action prioritization
- Document loading, chunking, and preprocessing
- Vector search basics and building RAG workflows
- LLMs as reasoning engines
- Tools vs assistants vs agents
- Agentic system architecture
- Goals, memory, planning, and actions
- Feedback and workflow execution
- Guardrails and human oversight
- Failure modes and vector databases
- How tool calling works in practice
- Designing controlled tool inputs and outputs
- Building multi-step agent workflows
- Agent output checking and validation
- Evaluating AI output for accuracy and reliability
- Improving retrieval and prompting strategies
- Error handling and fallback mechanisms
- Safety and guardrails
- Real-world AI solution design
- Copilots and agentic systems
- AI-enabled workflows
- Impact and ROI validation
- Risk assessment and feasibility review
Academic Collaboration
Delivered in collaboration with IIT Roorkee, this executive program combines academic credibility with practical business relevance for senior leaders navigating AI-led transformation.
Participants learn through live sessions led by IIT Roorkee faculty and experienced industry practitioners, who bring research depth, business context, and real-world perspective across AI, ML, Generative AI, and enterprise adoption.
This blend of academic rigor and applied business understanding helps participants build stronger clarity on where AI can create value, how to evaluate opportunities responsibly, and how to guide transformation across functions.
On successful completion, participants earn a Certificate of Completion from the Continuing Education Centre (CEC), IIT Roorkee, a credential that reflects both academic quality and executive-level relevance.
Program Coordinator
About Prof. Pradeep Jha
Prof. Pradeep Jha is a Professor in the Department of Mechanical and Industrial Engineering at IIT Roorkee. He earned his Ph.D. from IIT Kharagpur, specializing in modeling and simulation in continuous casting steelmaking processes.
Before joining IIT Roorkee, he held faculty positions at IIT Guwahati and IIT (ISM) Dhanbad and worked as a Quick Hire Fellow at the National Metallurgical Laboratory, Jamshedpur.
His research expertise spans manufacturing engineering, with a focus on metal casting, metal matrix composites, solidification processing, flow and thermal behavior analysis, and magnetohydrodynamic studies in continuous casting tundishes and molds. He has published extensively, supervised multiple doctoral and master's theses, and led sponsored research and consultancy projects funded by SERB-DST, CSIR, ITC, and SAIL.
Prof. Jha has also contributed significantly to India's digital education initiatives by developing and leading courses on the NPTEL platform. He is an active member of ASME, the Indian Institute of Metals, and the Institute of Indian Foundrymen, and serves as a reviewer for international journals in materials processing and manufacturing.
His work reflects a strong commitment to advancing research, education, and industrial applications in mechanical and manufacturing engineering.
Program Faculty
Learn from AI researchers, experienced practitioners, and leading academic minds.
Dr. Gaurav Kumar Nayak is an Assistant Professor at the Mehta Family School of Data Science and Artificial Intelligence, IIT Roorkee. His research focuses on Generative AI, including diffusion models and LLMs, along with efficient deep learning techniques such as knowledge distillation, continual learning, federated learning, and geo-localization. With academic training from IISc Bangalore and postdoctoral research experience at the University of Central Florida, he brings strong research depth and contemporary AI expertise to the program. His work aligns closely with the program's focus on modern AI, enterprise relevance, and practical application for business leaders.
Dr. Neel Mani, PhD, is an AI researcher and academic leader with experience across Generative AI, machine learning, NLP, digital health, agriculture, and knowledge systems. He has held academic and research roles across institutions including Dublin City University, University College Dublin, Amity University, Dev Sanskriti Vishwavidyalaya, and Swami Rama Himalayan University. His work combines applied AI research with real-world implementation across enterprise and societal use cases, bringing a practical perspective to business transformation, AI adoption, and cross-functional decision-making.
Certificate You Will Receive
Participants who satisfy the attendance and assessment criteria will receive a Certificate of Completion from the Continuing Education Centre (CEC), IIT Roorkee, reflecting academic rigor and executive relevance.
- Certificate from Continuing Education Centre, IIT Roorkee
- Credible institutional validation for career growth
- Attendance requirement: 70% of all sessions
Certification
Participants who satisfy the attendance criteria will receive a certificate from the Continuing Education Centre, IIT Roorkee, as per the applicable program rules.
70% of all sessions
Assessment Components
- Interaction during live sessions
- Quizzes
- Assignments
Participant Support
- Session videos
- 6 months ML tool access
- Reading material & e-resources
- Guided sessions & hands-on learning
- 1:1 doubt clearing & support
- Post-program guidance
Cohort 4 Important Dates
Key dates for the upcoming Cohort 4 of the executive certificate program.
Course Launch
26th Jun'2026
Cohort launch & early prep material accessApplication Closure
15th Sep'2026
Deadline for submitting professional profilesOrientation Date
18th Sep'2026
Cohort briefing & platform onboardingCourse Start Date
20th Sep'2026
First live weekend instructional sessionProgram End Date
20th Dec'2026 (Tentative)
Program closure & final evaluationsCampus Immersion
To Be Announced
Campus visit & offline valediction detailsProgram Fee and Payment Support
Total Payable: ₹1,09,740 including GST
Complete Program Fee
- Payment Support: Flexible payment options and installment plans may be offered.
- Corporate Sponsorship: Invoicing and sponsorship support available for employers and group corporate signups.
- Scholarships and Corporate Benefits: Available for eligible candidates.
Executive Admission Process
Share your professional details to check eligibility and program fit commitments.
Schedule a quick call with the admissions advisor to clarify alignment, curriculum depth, and goals.
Confirm seat reservation, select payment setup, and receive access credentials to begin.
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Frequently Asked Questions
Find answers to common questions about program format, eligibility, fees, and certificates.
Advance Your AI Leadership with an IIT Roorkee-Linked Executive Program
Build practical AI, ML, and Generative AI capability through a structured executive program designed for business transformation, strategic decision-making, and real-world application.
