Shriram Kris Vasudevan

I created and published a structured educational video series on Agentic AI and AI Agents, covering topics such as AI agents vs LLMs vs RAG, agent architectures, mental models, memory, tools, safety guardrails, orchestration, and real-world use cases. The series also includes practical demonstrations such as building intelligent agents using Python, LLMs, no-code platforms, and Microsoft-aligned AI productivity and responsible AI concepts, along with tools like Google NotebookLM for AI-assisted research and learning. The content is designed to help developers, architects, students, and professionals understand and apply modern AI systems in real-world scenarios, with a strong emphasis on responsible AI, productivity, and enterprise readiness, which are core to the Microsoft AI ecosystem. The sessions have reached a growing global audience through YouTube, enabling knowledge sharing, discussion, and adoption of AI best practices.

Internet of Things (3rd Edition) by Dr. Shriram K. Vasudevan, RMD Sundaram, and Abhishek S. Nagarajan (Wiley, ISBN: 9789370609969) is a comprehensive and practice-oriented guide to understanding and implementing IoT solutions at scale. The book explores IoT architectures, protocols, edge computing, cloud integration, and real-world applications across industries. This edition expands its focus on cloud–AI convergence, introducing readers to Azure IoT Hub, Azure Digital Twins, and Azure Stream Analytics for managing connected devices, enabling predictive maintenance, and visualizing telemetry data. It bridges foundational IoT concepts with Microsoft Azure’s cloud-native ecosystem, empowering developers and students to design secure, intelligent, and scalable IoT solutions that align with Industry 4.0 goals. By combining theory with hands-on case studies, the book prepares readers to architect IoT systems that leverage Azure AI, ML, and cognitive capabilities, thereby transforming data

Delivered an impactful session on Open Platform for Enterprise AI (OPEA) integrated with Microsoft Azure’s AI ecosystem at MLDS 2025 by Analytics India Magazine, India’s largest AI developers’ summit. The session focused on solving real-world challenges in the GenAI lifecycle—from data acquisition to inference—using Azure OpenAI, Cognitive Search, and Azure Machine Learning for scalable enterprise deployment. Over 300 developers and industry leaders participated in a highly interactive discussion on accelerating responsible and secure AI adoption in enterprise environments. The talk highlighted how OPEA with Azure can simplify model orchestration, enhance compliance, and empower organizations to innovate faster with confidence.

The GitHub repository “AdvancedDeepLearning” provides practical implementations and Jupyter notebooks that explore advanced deep learning techniques using Python. It covers CNNs, RNNs, transfer learning, fine-tuning NLP models, asynchronous processing, and model optimization. Designed for researchers and practitioners, it demonstrates real-world use cases in model training, pruning, and architecture selection.

Mentored more than 50 teams across national and international hackathons on AI, ML, and cloud-driven product development. Guided participants through problem identification, ideation, model building, and deployment using Microsoft Azure and Python-based solutions. The mentoring led to several winning prototypes and early-stage product launches, empowering young innovators to adopt responsible AI and scalable architecture practices.