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Programme Structure and Key Learning Components

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The Future Chief Technology and AI Officer Programme from IITM Pravartak prepares senior professionals to lead technology-driven transformation in today's rapidly evolving business landscape. Traditional technology roles are no longer sufficient as organisations demand visionaries who can strategically leverage AI, cloud computing, blockchain, and data-centre management to align technology with business objectives. India's technology sector is experiencing remarkable growth, with the AI market projected to reach approximately US$17 billion by 2027, expanding at a compound annual growth rate of about 25–35 percent. The overall tech sector is expected to reach US$254 billion in FY 2024. This comprehensive programme combines live online sessions delivered by IIT Madras faculty, campus immersions at IITM Pravartak, masterclasses from industry experts, and a guided capstone project. Participants develop both strategic thinking and practical skills necessary to drive digital transformation at senior leadership levels, earning a prestigious certificate upon completion.

Programme Structure and Key Learning Components

The curriculum is organized into four strategic pillars covering global perspectives, digital transformation, operational leadership, and bridging technology with business execution. Participants engage in weekly live online classes led by IIT Madras faculty, ensuring strong technical foundations and conceptual clarity. Two campus immersions at IITM Pravartak facilitate peer collaboration and direct faculty interaction. The programme includes masterclasses by industry leaders, providing real-world insights into technology challenges. A hands-on capstone project allows participants to apply their learning to strategic, real-world scenarios. The curriculum covers tools such as GitHub, TensorFlow, Keras, and Scikit-flow, enabling leaders to design and deploy advanced AI-driven solutions. Case studies address topics including enterprise architecture, blockchain applications in global supply chains, and MLOps processes for digital transformation execution.

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