Agentic AI with Spring AI & Embabel

Description

Agentic AI with Spring AI & Embabel” is a focused course that introduces developers to the design and implementation of autonomous AI agents using Spring AI and the Embabel framework. The course takes students from understanding what agentic AI is and how it differs from conventional chatbots, through to building fully functional agents capable of decision-making, tool use, multi-step orchestration, and safe autonomous operation in production environments.

🕒 Duration: 6 hours

👥 Target Audience:

• Roles: Backend Engineers, Software Architects, Technical Leads, Solution Architects
• Seniority: Mid- to senior-level professionals

Webinar Content

Learning Objectives:

After attending this webinar participants will be able to:

• Understand what agentic AI is, how decision-making loops work, and where agents add value over
  traditional chatbots
• Create and manage AI agents in Spring AI, including their lifecycle, instructions, and model connections
• Use embeddings and RAG to give agents access to dynamic memory and knowledge retrieval
• Expose tools to agents and orchestrate multi-step workflows using MCP client/server patterns
• Design action planning flows that allow agents to reason and act across multiple steps
• Run agentic AI systems safely with sandboxing, fallback strategies, monitoring, and observability

Prerequisite Knowledge

• Ideally, completion of “Building AI Systems with Spring AI” or equivalent hands-on experience with Spring AI
• Solid understanding of Java and Spring Boot
• Familiarity with RAG concepts, tool calling, and MCP basics (covered in the prerequisite course)
• Basic understanding of embeddings and vector retrieval is beneficial