Course Content

Digital transformation is radically reshaping our world. The pace of technological advancements in the field of artificial intelligence has outpaced any technology in the history of mankind. If we don't know what we don't know, then it is impossible to imagine and plan a future. This requires an understanding of the foundational technologies and an appreciation for the latest advancements that are fueling this Digital Transformation. Agile data-driven AI provides aid and a roadmap for developing a digital strategy for an organization. An ability to maneuver and manage the ever-changing landscape and business uncertainty. A central role in all of this transformation is played by data. In the field of data science, if you cannot measure it, AI cannot learn it. Therefore, a fundamental objective of any organization should be to have a data-centric philosophy, where one builds all new infrastructures with a central aim to capture all the data even before one starts looking at it from an AI perspective. But more fundamentally, the leaders have to learn to re-imagine a fundamental shift from the traditional business model to a data-driven AI-based business model. This program is specially designed for industry leaders who want to gain a high-level view of the fundamental technologies that drive digital transformation. It will answer questions like: what are the main ingredients of this digital transformation ecosystem? How are industrial Internet of Things (IIoT), artificial intelligence, big data, machine learning, edge computing, blockchain, 5G, and Quantum computing intertwined with each other, and what role do they play in this transformation? The course would be conducted in a face-to-face setting with lectures, interactive sessions, and exhibitions. The broad areas which will be covered in the course include:

• Artificial intelligence: Key ingredients of the digital world. History of artificial intelligence and its growth. Introduction to machine learning. Supervised, unsupervised, semi-supervised, and reinforcement learning. Federated learning and transfer learning. Major breakthroughs in artificial intelligence. Deep networks, generative networks and adversarial networks, Video Analytics, Natural Language Processing, and Large Language Models. Limitations of machine learning and artificial intelligence. Interpretability and Explainability of AI. Questions related to Digital Transformation Technologies, One-day Advanced certificate program by IIT Bombay Trustworthiness, Fairness, Transparency, Causality, Transferability, Reliability, Accessibility, and Privacy of artificial intelligence. Ethical and moral questions about AI
• Industrial Internet of Things: Advancements in sensor technology, communication, and storage. The big data and the war between sensor technology and storage technologies. Cloud, edge, and fog computing.
• Industry 4.0 technologies:RFID/GPS/SIM for Track-and-Trace & digital threads and 3D printing, AR-VR & Digital Twins.
• Advanced algorithms for AI, machine learning, and digital trust (Hashing, Cryptography: Encryption, Authentication, Digital Signatures, and Blockchain). Cyber Espionage, Hacking, and Cyber Attacks. Advancements in computing technology. Future of machine learning and Cryptography with Quantum computing.
• Artificial General Intelligence and the Future (Specialized bots to general-purpose humanoids)
• Case studies of applications of AI and Machine learning to steel industries.
• The lectures and interactive sessions for the course would be accompanied by an exhibition of our digital technology hardware.