Shriram Kris Vasudevan

Recently delivered an intensive session on Agentic AI with Docker to an audience of 120+ developers in Coimbatore, as part of ongoing community evangelism aligned with the Microsoft MVP program. The session covered the end-to-end landscape of Agentic AI, from foundational concepts of autonomous agent design to containerizing and deploying multi-agent systems using Docker. Developers explored how Docker enables reproducible, scalable environments for agentic workflows, including tool-calling pipelines, orchestration layers, and multi-container agent architectures. The session blended conceptual depth with hands-on insights, equipping participants with practical knowledge to build and ship production-ready Agentic AI systems.

Delivered a technical knowledge-sharing session on Agentic AI for 60+ developers at Kalaignarkarunanidhi Institute of Technology (KIT), Coimbatore. The session focused on helping developers understand the transition from traditional AI applications to autonomous AI agent systems capable of reasoning, planning, and tool orchestration using large language models. Key areas covered included Agentic AI architecture, LLM integration with tools and memory, multi-step reasoning workflows, and real-world enterprise implementations. The session also discussed how developers can design scalable AI solutions and intelligent automation workflows using modern developer platforms and AI frameworks. Participants explored practical scenarios such as AI copilots, developer productivity assistants, enterprise automation agents, and intelligent task orchestration systems. The session encouraged active discussion around responsible AI development, real-world deployment considerations, and the growing

Attended the Google.org Impact Summit APAC 2026 in New Delhi and participated in the roundtable discussion on “AI Multiplier: Bridging the Employability Gap through Skilling Programs.” The session brought together leaders from government, industry, NGOs, and academia to explore scalable models for workforce transformation in the AI era. I contributed perspectives on responsible AI adoption, practical skilling pathways, and industry-aligned curriculum design, drawing from my experience as a Microsoft MVP and active community contributor. The discussions focused on building trust in AI tools, enabling digital inclusion, and strengthening cross-sector collaboration to prepare youth for emerging technology-driven roles. The summit reinforced the importance of partnerships between technology providers, training institutions, and policymakers to ensure equitable access to AI-driven opportunities across APAC.

This session introduces the fundamentals of Agentic AI using Microsoft’s AI ecosystem, focusing on how autonomous AI agents reason, plan, and act to achieve goals. Participants will explore how agent-based architectures extend traditional LLM workflows using Microsoft Azure AI, Copilot principles, and Semantic Kernel–style orchestration, enabling reasoning loops, tool usage, memory, and feedback-driven autonomy. The session presents agent design concepts through Microsoft-aligned examples, including enterprise automation, knowledge assistants, and intelligent decision-support systems, while emphasizing Responsible AI practices advocated by Microsoft. Key takeaways: Agentic AI concepts mapped to Microsoft Azure AI & Copilot Autonomous reasoning vs prompt-based AI Agent orchestration using Microsoft-style patterns Responsible and ethical AI agent design

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.