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AI Adoption Focus

Learn how to adapt AI to real business functions, workflows and decision-making.

Practical Use Case Discovery

Identify where AI can improve efficiency, accuracy, forecasting and cost optimisation.

Workflow-Led Application

Build AI-enabled workflows for operations, QA, supply chain, sales, marketing and support.

Senior Leadership Format

Designed for CXOs, VPs, directors, business heads and functional leaders.

No Coding Requirement

Apply AI to business problems without needing a heavy programming background.

Post-Program Support

Get guided support after the program to refine use cases and apply learning at work.

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 and How It Supports Senior Professionals

This program is designed for experienced professionals and business leaders who are responsible for performance, execution, and transformation in their organisations.

Ideal Participant Profiles

  • Check
    CXOs and Vice Presidents
  • Check
    Founders and Business Leaders
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    Business Unit Heads and Department Heads
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    Senior Management and Decision Makers
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    Profit and Loss Owners
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    Senior Managers and Transformation Leaders
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    Consultants and Client Partners
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    Functional leaders across operations, supply chain, procurement, quality, service, sales, marketing, customer success, and product development
Eligibility
  • Check Undergraduate degree
  • Check Minimum 8 years of work experience

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.

No Programming Background Required

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:

  • Check
    Evaluate AI in their Business Context
    Identify where AI initiatives fit business goals, operating priorities, and transformation agendas.
  • Check
    Understand How Modern AI Systems Create Value
    Understand how AI, ML, and Generative AI systems support decision-making and transform business operations.
  • Check
    Identify High-Impact Use Cases
    Spot high-value use cases and workflows across functions and industries.
  • Check
    Assess Make, Buy, or Partner Choices
    Assess AI solution choices across make, buy, or partner models.
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    Lead Better Cross-Functional Conversations
    Ask relevant questions of data science, technology, and functional teams.
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    Strengthen AI Readiness Judgment
    Strengthen understanding of data, governance, and AI readiness.
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    Use No-Code and Low-Code Tools More Effectively
    Use no-code and low-code AI tools more effectively for faster adoption.
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    Evaluate Risk, Reliability, and ROI
    Assess feasibility, reliability, governance, risk, and ROI for effective investment decisions.
  • Check
    Apply Learning to Real Business Problems
    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

ChatGPT (OpenAI)

Notebook LM

Claude

Microsoft Copilot

Microsoft Copilot

OpenAI Framework

OpenAI Framework

LangChain

LangChain

AI Agents

Perplexity

Capstone and Business Application

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.

Program Structure
  • Duration: 12 Weeks
  • Total Hours: 65 Hours
  • Live classes: 12 sessions
  • Weekend sessions + optional campus immersion
Delivery Format
  • Reading resources & assignments
  • Tutorials & capstone work
  • 1:1 doubt clearing
  • Support over 6 months
Hour Break-up
  • Live classes: 30h
  • Resources & tutorials: 18h
  • Capstone: 12h
  • 1:1 support: 4.5h
Pedagogy
  • Live lectures
  • Case studies
  • Hands-on sessions
  • Quizzes & assessments
  • 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
  • Process stability, rework reduction, and downtime reduction
  • 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
  • Classical ML outputs as signals
  • 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
Credibility & Excellence

Program Coordinator

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.

Super Admin
Prof. Pradeep Jha

Specialist in Smart Manufacturing and AI

Meet the Faculty

Program Faculty

Dr. Gaurav Kumar Nayak

Dr. Gaurav Kumar Nayak

Assistant Professor

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

Dr. Neel Mani, PhD

AI Researcher and Academic Leader

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.

Program Fee and Payment Support

₹93,000 + GST

Complete Program Fee

Payment Support

Flexible payment options may be offered

Scholarships and Corporate Benefits

Available for eligible candidates

Corporate Sponsorship Support

Suitable for professionals seeking employer sponsorship or group participation support.

Important Dates

Course Launch Date

6th April 2026

Application Closure Date

21st May 2026

Program Orientation

22nd May 2026

Program Start Date

24th May 2026

Campus Immersion and Valediction

To be announced

Program End

09th Aug'2026 (Tentative)

Admission Process
1
Submit Interest

Share your details to explore fit for the executive program.

2
Advisory Discussion

The program team guides prospective participants on program relevance, priorities, and fit.

3
Enrollment and Onboarding

Confirm participation and receive onboarding support and program-related information.

Certification, Assessment, and Participant Support

Program Completion & Support

Certification

Participants who satisfy the attendance criteria will receive a certificate from the Continuing Education Centre, IIT Roorkee, as per the applicable program rules.

Attendance Requirement:

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

Lead AI-Led Business Transformation with Greater Clarity

For senior leaders, the real advantage is not just understanding AI terminology. It is knowing where AI can deliver business value, how to evaluate readiness and risk, and how to guide practical adoption across functions.
This program is built to help experienced professionals do exactly that through a focused curriculum, live faculty-led learning, modern AI coverage, and business-relevant application.

Apply Now Download Program Brief

FAQs

This program is designed for CXOs, Vice Presidents, business heads, decision makers, functional leaders, and senior professionals who want to lead practical AI adoption and business transformation across functions.

No. This is a business-led executive program designed to help senior leaders understand AI, ML, and Generative AI in the context of enterprise decision-making, transformation, and practical adoption.

No heavy programming background is required. If you are comfortable with business tools, structured thinking, and cross-functional problem-solving, you can benefit from the program.

The program runs for 12 weeks and includes 65 total learning hours.

The program is delivered through live online weekend sessions, with an optional campus immersion at IIT Roorkee.

You will learn how AI, ML, and Generative AI can support business transformation across enterprise functions. The program also covers modern AI topics such as LLMs, retrieval workflows, agentic AI concepts, and AI evaluation in a business context.

Yes. A capstone project is included to help participants apply learning to a real business challenge.

Participants who meet the program requirements will receive a certificate from the Continuing Education Centre, IIT Roorkee.

The program fee is ₹93,000 + GST.

Yes. Flexible payment options, scholarships, and corporate benefits are available for eligible candidates.
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