IITM Pravartak's 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
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Please note that the programme duration includes a break week for Christmas from December 24, 2025 to January 1, 2026.
Programme Overview
The Indian tech industry is set to hit $300 billion in revenue by FY2026, fuelled by 7% annual growth in domestic tech spending. The workforce is projected to reach 5.8 million, with enterprise software, cloud, and data centre capacity expanding by 21%. Over 90% of top tech firms are adopting AI, Cloud, and GenAI, marking a strong technology-driven transformation.
The IITM Pravartak's Future Chief Technology & AI Officer Programme equips senior leaders to thrive in this environment. 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.
Programme Highlights
Weekly live-online sessions by IIT Madras Faculty
Experience 2 immersion at the IITM Pravartak Campus.
Programme designed by IIT Madras Faculty.
Gain Industry Insights through Masterclasses by Industry Experts
Apply modular learnings to a practical capstone project
Gain certification from IITM Pravartak
Understand innovation, policy frameworks, and the evolving global–Indian technology landscape.
Build decision-making and leadership capabilities tailored for Indian CTOs.
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.
Programme Modules
Module 1: Global Economy, Strategy, Technology Trends and Risks
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
Module 2: Contextualising India's National Policy and Tech Ecosystem Session
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
Module 3: Strategic Tech Leadership & Decision-making for the Indian CTO
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
Module 4: Digital Transformation - Foundations
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)
Module 5: Digital Transformation and AI/ML Applications
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 and Digital Business Models (B2C, B2B & Hybrid Models)
Key Aspects of Digital Strategy (Customer, Competition, Data, Innovation, Value) and Execution (Vision, Priority, Experimentation, Governance, Capability)
Digital Transformation in various Services and Industrial Sectors – Horizonal and Vertical use cases
Digital Transformation in Marketing, Finance and Digital Supply Chains
Digital Transformation in Customer Engagement and Customer 360
Module 6: Leadership
Leading Digital Transformation in Enterprises - Leadership, Strategy, Change Management, 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
Module 7: TechOps, Cybersecurity & Responsible Innovation
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 and Disaster Management
Module 8: Legal, Regulatory and Compliance
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
Module 9: Executive Presence and Thought Leadership
Masterclass: Building a Personal Brand & Thought Leadership as a CTO, Communicating Tech Strategies to Investors, Boards and Stakeholders
Masterclass: Public Speaking & Industry Influence in Tech Circles
Capstone project working session
Project presentation, IITM Campus Tour, and Closing thoughts on the programme
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.
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.
Leveraging enterprise architecture to enable scalable growth through strategic acquisitions
Transforming traditional product businesses into service-oriented models through IT enablement
Implementing MLOps practices to enhance machine learning applications in automotive manufacturing
Applying blockchain technology for comprehensive digital transformation across global supply chains
Integrating AI, IoT, and blockchain technologies to create transparent and ethical supply chain operations
Managing the complex organizational and technological dynamics in legacy system digital transformation
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 Directors
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...
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 Certificate
IITM Pravartak will award a certificate of successful completion to participants who complete the programme successfully with 70% of the score in the evaluation.
Note:
All certificate images are for illustrative purposes only and may be subject to change at the discretion of IITM Pravartak.
To receive the completion certificate, the participants must score a minimum of 60% in their exams.
Overall, 70% attendance in both domain-expert-led live sessions and live lead faculty masterclasses is required to achieve programme completion.
Skills You’ll Take Away
Leadership Readiness for Innovation: Prepare to step into future CTO roles by assessing global and Indian technology landscapes, designing innovation-led strategies, and applying practical frameworks within organisations.
Learn Digital Technology Concepts: Gain a strong foundation in interoperability, cyber-physical systems, IoT, blockchain, data analytics, machine learning, and artificial intelligence.
Architect Transformation: Apply technologies across sectors such as BFSI and healthcare, and understand their use through sandbox demonstrations and practical examples.
Embed Operational and Responsible Excellence in TechOps: Explore enterprise readiness, investment justification, governance, lifecycle management (DevOps, MLOps), and cybersecurity, legal, and regulatory impacts.
Develop a Career Advancement Portfolio: Demonstrate the design, prototyping, and implementation of an innovative solution by applying concepts to a real-world business use case.
Early registrations are encouraged. Seats fill up quickly!
Flexible payment options available.
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