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Future Chief Technology and AI Officer Programme

For aspiring CTOs—leadership, innovation, and digital-business mastery

  • IIT Madras Faculty–Led Teaching
  • Two Immersions at IITM Pravartak Campus
  • The IITM Pravartak Certificate
  • Guided Capstone Project
Total Work Experience

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Programme Overview

India’s technology market is booming – the fastest-growing in the world. The Global Capability Centres segment alone is projected to cross $105 billion by 2030, and demand for technology leaders surged 27% in 2023. CTOs and Chief AI Officers today command salaries between INR 1.3–5 crore in top sectors like BFSI, IT, and healthcare.

Yet many organisations struggle to align technology vision with business goals. The emerging Chief Technology & AI Officer (CTAIO) bridges this divide – driving enterprise-wide AI adoption, ensuring ethical use, and steering digital transformation at scale.

The IITM Pravartak's Future Chief Technology & AI Officer Programme equips senior leaders to thrive in this environment. With IIT Madras faculty and industry experts, you’ll master AI strategy, business alignment, change leadership, and operational excellence to become a future-ready technology leader.

Programme Highlights

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Live Sessions by IITM Faculty

Weekly live-online sessions by IIT Madras Faculty

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Campus Immersion

Opportunity to experience 2-day in-campus immersion (optional to attend)

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Cutting-edge Programme Design

Programme designed by IIT Madras Faculty.

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Masterclasses by Experts

Gain Industry Insights through Masterclasses by Industry Experts

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Guided Capstone Project

Apply modular learnings to a practical capstone project

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IITM Pravartak Certificate

Gain certification from IITM Pravartak

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Global and Indian Strategy Context

Understand innovation, policy frameworks, and the evolving global–Indian technology landscape.

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Strategic Tech Leadership

Build decision-making and leadership capabilities tailored for Indian CTOs.

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Cutting-edge Programme Design

Benefit from IIT Madras’ case-based learning approach via live online and face to face faculty sessions.

Who Should Join?

This programme is designed for ambitious leaders at the intersection of business and technology, ready to move from execution to strategy:

  • Directors & Senior Managers:

    Future-proof strategies with AI and emerging technologies.

  • Technology Specialists & Consultants:

    Elevate technical expertise into enterprise-wide, AI-powered business solutions.

  • CXOs, VPs & Co-Founders:

    Harness technology as a growth lever to scale organisations and shape industry futures.

What You’ll Gain

Graduates will emerge with the vision and skills to drive technology-led growth:

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Craft & Drive Strategic Tech Vision

Turn global shifts into strategic roadmaps, align AI with business goals, and deliver measurable impact.

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Engineer & Fortify Platforms

Build scalable architectures, data flows, and AI solutions while ensuring security, resilience, and compliance.

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Champion Digital Evolution

Embed AI enterprise-wide, streamline costs and vendor ecosystems, and modernise with agile and DevOps.

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Build Ethical & Resilient Structures

Establish governance and compliance frameworks, redesign teams, and develop enterprise-wide capabilities.

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Lead Talent & Organisation

Restructure teams, integrate technology into workflows, and cultivate future-ready skills across the enterprise.

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Safeguard Enterprise Resilience

Defend against AI and cyber risks, ensure continuity, and strengthen crisis readiness.

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Shape Industry Influence

Engage boards and investors, establish thought leadership, and drive the future of tech and AI.

Programme Modules

Note:

  • Modules/ topics are indicative only, and the suggested time and sequence may be dropped/ modified/ adapted to fit the overall programme needs.

  • The schedule will be announced closer to programme start. The learning material will be available throughout the duration of the programme.

  • Study materials will be provided in either electronic or hard copy format, per the respective programme’s requirements.

  • For learners residing in India, any courier charges will be borne by the institution(if required). For international learners, courier charges for physical study materials shall be borne by the learners themselves.

Essential Tech Stack for Future CTOs

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Tensor Flow
Scikit Flow
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Note:

All product and company names are trademarks or registered trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.Usage and coverage of tools will be the faculty’s discretion

Learning Experience

The programme is structured to be both participatory and rigorous. The sessions are designed to stir discussions and interactions with both the programme mentor and the participants from various backgrounds.

Thus, instead of just one-way lectures, the programme will feature:

Interactive Learning

  • Case discussions that connect theory to real-world business challenges

  • Group work that fosters collaboration and inter-participant learning

  • In-class break-out sessions that encourage focused dialogue and problem-solving

  • Hands-on labs that provide practical exposure to digital tools and concepts

  • Discussion forums that extend learning and interaction beyond the classroom

Experiential Learning

  • A campus immersion programme that deepens engagement through face-to-face learning and networking opportunities

  • Campus tours that help participants experience the academic environment and build stronger connections with peers and faculty

Cases: Bridging Theory and Practice

Real-world case studies across BFSI, healthcare, supply chain, automotive, telecom, and retail will showcase how digital technologies are reshaping industries. These examples will help participants deepen conceptual understanding, analyse business challenges, assess technology-driven solutions, and apply lessons directly to their professional contexts. The cases will also strengthen analytical and problem-solving skills, provide exposure to best practices and pitfalls, and build the judgment needed to lead digital initiatives effectively.

Some sample case studies are given below:

How CISCO Used Enterprise Architecture Capability to Sustain Acquisition-based growth

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Leveraging enterprise architecture to enable scalable growth through strategic acquisitions

MLOps for Enhancing Machine-learning enhanced Automotive Applications: Experience at Bosch

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Implementing MLOps practices to enhance machine learning applications in automotive manufacturing

Betting on Blockchain

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Applying blockchain technology for comprehensive digital transformation across global supply chains

Machine Vision, AI, IoT, and Blockchain

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Integrating AI, IoT, and blockchain technologies to create transparent and ethical supply chain operations

Digital Transformation

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Managing the complex organizational and technological dynamics in legacy system digital transformation

Towards Trustworthy Machine Learning in Production: An Overview of the Robustness in MLOps Approach

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Understanding robustness frameworks and trust mechanisms in production MLOps environments

Note: Case studies stated here are subject to change as per the discretion of IITM Pravartak or Emeritus.

All product and company names are trademarks or registered trademarks of their respective holders. Their use does not imply any affiliation with or endorsement by them.

Programme Leaders

Dr R P Sundarraj  Photo
Dr R P Sundarraj

Professor, IIT Madras

Professor R. P. Sundarraj has over four decades of international academic experience at various leading universities in USA, Canada, Qatar and India, and is currently a profes...

Dr R P Sundarraj Photo
Dr Sathya Venkatraman

Director - Kyndryl (IBM Spinoff), Ex-CTO - IBM

Dr. Sathya Venkatraman is a recognised leader in digital transformation, with more than three decades of extensive consulting experience across industries. He currently serves...

Note: Programme Directors might change due to unavoidable circumstances, and revised details will be provided closer to programme start date.

Programme Certification

IITM Pravartak will award a certificate of successful completion to participants who complete the programme successfully with 70% of the score in the evaluation.

IITM Pravartak CTAIO Certificate

Note:  

  • All certificate images are for illustrative purposes only and may be subject to change at the discretion of IITM Pravartak and IBM. 

  • To receive the completion certificate, participants must score a minimum of 70% overall on mandatory assignments and successfully complete the capstone project.

  • Overall, 50% attendance in both domain-expert led live sessions and live faculty masterclasses are required to achieve programme completion.

Skills You’ll Take Away

  • Craft and Drive Strategic Tech Vision: Convert global shifts into strategic blueprints, integrate AI directives with business objectives and achieve quantifiable value.

  • Engineer, Expand and Fortify Corporate Platforms: Develop scalable architectures, data flows, and AI solutions while protecting against cyberthreats, ensuring durability, and adhering to legal guidelines.

  • Champion Digital Evolution and Operational Superiority: Infuse AI and digital innovations enterprise-wide, streamline expenses and supplier relationships, and update platforms with agile, DevOps, and progressive engineering practices.

  • Construct Ethical and Resilient Corporate Structures: Define governance, risk and compliance protocols, re-engineer teams for technological synergy and cultivate talent to foster enterprise-wide capabilities.

  • Direct Human Capital and Corporate Frameworks: Reconfigure teams, weave technology into the development process, and cultivate advanced competencies throughout the organisation.

  • Safeguard Systems and Corporate Durability: Counter emerging digital and AI threats, maintain operational continuity, and establish readiness for crisis management.

  • Command Industry Impact and Executive Profile: Interact with boards and investors, build a reputation as a thought leader, and establish yourself as a strategic visionary propelling the future of technology and AI.

Early registrations are encouraged. Seats fill up quickly!

Flexible payment options available.

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