Program Description

The Future CTAIO Programme, designed with industry input, equips participants with leadership and digital-technology skills to think and act like a CTAIO. Delivered in a hybrid format, the programme blends management principles with tech concepts, supported by practical assignments and capstone projects that drive career growth without leaving employment

Key Highlights

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Cultivate Leadership: Prepare students for senior managerial roles, focusing on the

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oversight of digital projects and leading technology-driven teams.

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Foster Innovation: Develop the necessary skills for driving innovation and effectively

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Managing technological change within business environments.

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Equip with Digital Concepts: Equip students with the conceptual knowledge of cutting-edge digital technologies like AI, IoT, blockchain, cloud computing, and data analytics.

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Integrate Technology with Business: Enable students to deploy digital solutions that

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Enhance business operations, strategic planning, and customer engagement,

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Seamlessly integrating technology with core business practices.

Learning Format

Online

Duration

28 Weeks

Certified by

IITM Pravartak Technologies Foundation
Technology Innovation Hub (TIH) of IIT Madras and
Emeritus

Program Fee

2,80,000+GST

Program Description

Education Qualification


  • A graduate degree (10+2+3) or equivalent qualification from a recognised university/institution (UGC/AICTE/DEC/AIU/State Government/recognise international universities) in any discipline.

  • A minimum of 5 years and a maximum of 15 years of professional work experience as of the programme start date (Technical Orientation).

  • Exceptions may be considered on a case-by-case basis.

Lead Faculty

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 professor of information systems at IIT Madras. He obtained a Bachelor’s degree in Electronics and Communications Engineering from the University of Madras in 1982 and a PhD in Management Science in 1990.

He has lectured widely in both academic and industry circles, and is recognised as a leading scholar in applying behavioral, economic, optimization or machine-learning models to areas such as healthcare, innovation, digital platforms, cloud computing, and cybersecurity.

Professor Sundarraj is an author of several books on these topics and has published over 100 papers in conferences and journals of international repute. He has been the doctoral guide of many students who now hold senior positions in academia and industry.

Of particular interest to the CTAIO programmes is Professor Sundarraj’s leading role in conceptualising, architecting and implementing different executive programs at IIT Madras, providing impactful learning to industry professionals.

 

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 as Director and Principal Consultant for Data & AI Advisory at Kyndryl Solutions, after holding senior roles including Chief Technology Officer at IBM Global Technology Services.


His key expertise spans digital transformation, IT strategy, healthcare, banking, and design thinking, backed by a strong academic foundation with an M.S. from BITS Pilani and a Ph.D. from IIT Madras.


As a Visiting Professor at IIT Madras, XLRI, IIM Calcutta, IIM Lucknow and several other reputable universities, Dr. Sathya actively mentors future technology leaders. He is on the corporate advisory board of XLRI and also serves as a Honorary Advisor with India Blockchain Alliance (IBA), a non-profit organizations promoting blockchain adoption in the country.


Dr. Sathya has published several research papers in leading journals and conferences, further demonstrating his thought leadership in the field. Importantly, his hands-on experience as a CTO adds unique depth and relevance to the Future CTAIO, giving participants practical insights into technology leadership at scale.

 

Learning Module

  • Programme Overview, Macroeconomy, Trends and Risks
  • Economy-innovation relationship, Major Industrial scope for innovation: Military, Healthcare, Manufacturing, Finance, Sustainability
  • Global Economic Shifts, Geopolitical and Regulatory Implications
  • Emerging Global Tech Trends: Strategic Perspectives on AI, GenAI, Blockchain and Decentralised Ecosystems

  • Unique Indian Markets & Innovation: Tiered Segments, Reverse Innovation and
    National Digital Initiatives (Atmanirbhar, Startup India, MeitY, DPI)
  • Global Tech Lab: India’s Digital Public Infrastructure (Aadhaar, UPI, ONDC, Healthcare,
    Sustainability) and its emergence as a Global Technology R&D Hub for Talent and
    Innovation Ecosystems
  • Masterclass: Funding, Venture Capital and Investor Expectations in India

  • Business Strategy and Competitive Strategy: Aligning Tech Strategy with Markets and
    Innovation
  • CTO Characteristics, Decisions, Mergers and Acquisitions, CTO Roles Across Startups,
    Unicorns & Enterprises, Leadership Styles for CTOs – From Visionary to Servant
    Leadership in Tech-Driven Enterprises
  • Strategic Decision-Making Dimensions for the Modern CTO: Technology, Innovation,
    Data & AI, Talent, Operations, Risk & Ecosystems

  • Ecosystem Technologies: Networks, SDN and Open Systems
  • Ecosystem Technologies: Cyber-physical Systems and IoT
  • Platform Engineering & API Economy: Enabling Digital Ecosystems, Single-sided and
    Multi-sided Platforms
  • Cloud, Edge, and Hybrid Computing - Foundations for Scalable Digital Infrastructure
  • Data Foundations: DB, Data lake, DWH, Data Fabric, Data Mesh, Data Life cycle, and
    Data Quality
  • Data Foundations: Blockchain
  • Analysis: Analytics (Inferential, Predictive and Prescriptive)

  • Analysis: ML Models (Advanced Regressions, SVMs)
  • Analysis: ML Models (ANN, FNN, CNN, RNN, Deep Learning)
  • Analysis: AI Models (AI agents, GenAI, RAG, Agentic AI, Prompt Engineering)
  • Analysis: AI Models issues (Explainable AI, AI Biases, Hallucinations)
  • Foundations of Digital Transformation & Digital Business Models (B2C, B2B & Hybrid
    Models)
  • Key Aspects of Digital Strategy (Customer, Competition, Data, Innovation, Value) &
    Execution (Vision, Priority, Experimentation, Governance, Capability)
  • Digital Transformation in various Services and Industrial Sectors – Horizonal & Vertical
    use cases
  • Digital Transformation in Marketing, Finance & Digital Supply Chains
  • Digital Transformation in Customer Engagement & Customer 360

  • Leading Digital Transformation in Enterprises: Leadership, Strategy, Change
    Management and Talent Management
  • Driving Digital Transformation at scale: Application Frameworks, Models,
    Paradigms and Implementation Architectures.
  • Estimating, Measuring and Managing business value of Digital Transformation –
    KPIs, KRAs and ROI
  • Digital Transformation Readiness Assessment: Technology, Organisational &
    Execution Readiness
  • Masterclass: Building Global tech products from India, localisation and
    globalisation
  • Innovation Leadership: Building a Pipeline of Digital Products and Services

  • Governance: Technology, Data/AI, IoT, Operating model, Toolsets, Responsible AI,
    Human in the loop, Risk Balance & Compliance
  • Agile, SRE, DevOps, MLOps and AIOps (LLMOps etc.) Practices: CI/CD, Platform
    Engineering & Reliability (“AI-augmented SDLC” — code copilots, test generation,
    model-in-the-loop CI/CD)
  • Vendor Management, Multi-cloud FinOps & IT Budget Optimisation
  • Cybersecurity Technologies: Zero Trust and Modern Cybersecurity Architecture, and Cyber readiness assessment
  • Crisis & Disaster Management

  • DPDP, GDPR, Cross-border Data Management, Ethical and Responsible Tech
    Practices
  • Regulatory Compliance: RBI, SEBI, CERT-IN and Data Localisation
  • IP Management, Patent Ecosystem and Monetisation Strategies
  • Managing ESG and Sustainability Compliance in Technology


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