Building AI Agents with Spring & MCP - James Ward, Varsha Das
Integrating AI into enterprise systems has traditionally been complex and specialized, but new tools are changing that. Spring AI and the Model Context Protocol (MCP) simplify AI integration by providing high-level abstractions and seamless interoperability, no deep AI expertise required. This session walks through the end-to-end process of building an AI agent that can act as a natural language interface to enterprise data and back-end services. Attendees will see how Spring AI and MCP work together to create robust, production-ready AI applications that extend the power of existing Spring ecosystems. What You Will Learn •How to integrate AI capabilities into Spring applications using Spring AI and MCP •Steps to build and deploy a full AI agent that interacts with enterprise data and services •How to extend existing systems with natural language interfaces. More on-demand engineering talks: https://saltmarch.com/on-demand GAINS 2026 | 09th–10th December | Bengaluru India’s first engineering conference for the AI-native software era https://ainativesummit.com GIDS 2027 | 20th Edition | 27th–30th April | Bengaluru https://developersummit.com

Model Context Protocol (MCP) Explained for Beginners: AI Flight Booking Demo!

Spring AI + MCP: Building the Missing Bridge Between Java Apps and AI Agents - Siva Prasad Reddy

Andrew Ng: Building Faster with AI

Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan

GraphRAG and Explainable AI: Building Trustworthy LLM Outputs - Rohit Bhardwaj

Harnesses in AI: A Deep Dive — Tejas Kumar, IBM

Don't learn AI Agents without Learning these Fundamentals

The Future of AI Agents with Andrew Ng | Interrupt 26

Orchestrating Intelligence: Multi-Agentic Design Patterns for Production AI - Mary Grygleski

Full AI Prompting Course with Andrew Ng

Architecting for the Unknown - Venkat Subramaniam

Full Walkthrough: Workflow for AI Coding — Matt Pocock

How AI agents & Claude skills work (Clearly Explained)

Yann LeCun: World Models: Enabling the next AI revolution

Anthropic Workshop: Build Agents That Run for Hours — Ash Prabaker & Andrew Wilson

Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026

Stanford CS230 | Autumn 2025 | Lecture 8: Agents, Prompts, and RAG

Inside the Mind of Anthropic CEO Dario Amodei | The Circuit | Extended Interview

How Model Context Protocol (MCP) actually works

