“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.

By the end of this module, 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

• Roles: Backend Engineers, Software Architects, Technical Leads, Solution Architects
• Seniority: Mid to Senior Professionals

• 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

Sessions can be delivered via the following formats:

• Live Online – Interactive virtual sessions via video conferencing
• On-Site – At your organization’s premises
• In-Person – At Code.Hub’s training center
• Hybrid – A combination of online and in-person sessions