Description
AI Agents & Agentic Workflows with Spring AI, MCP and Java is a course on using Spring AI, the Model Context Protocol (MCP), and modern agent-based architectures published by Udemy Online Academy. This course teaches Java developers how to build intelligent, autonomous applications using Spring AI, the Model Context Protocol (MCP), and modern agent-based architectures. Individuals learn how to design AI agents that can reason, plan, access tools, and execute multi-step workflows while seamlessly integrating with enterprise Java applications. The course covers the basics of Spring AI, LLM integration, MCP connectivity, agent tuning, memory management, recovery-augmented generation (RAG), tool invocation, and workflow automation.
This entire course is about developing our own AI agents from scratch. This is a comprehensive, deep, architecture-based class that covers building production-level AI agents and agent-driven workflows using Java, Spring AI, and the Model Context Protocol (MCP). Throughout the course, we will build practical, production-style AI systems using Spring Boot, Spring AI, and MCP.
What you will learn in AI Agents & Agentic Workflows with Spring AI, MCP and Java:
- Building AI Agents Using Spring AI and Java
- Designing Agentic Workflows and Multi-Turn Reasoning Systems
- Implementing MCP Servers Using Spring Boot
- Building and Displaying MCP Tools, Resources, and Prompts
- Integrating OpenAI, Gemini, and Local LLMs Using Ollama
- Building Human-in-the-Loop Workflows Using Elicitation
- Managing Asynchronous Workflows Using Progress Notifications
- Writing Integration Tests for MCP-Based AI Systems
- Implementing Structured Output and Prompt Engineering Techniques
- Effectively Using ChatClient, ChatMemory, and Advisors
- And…
Course specifications
Publisher: Udemy
Instructors: Vinoth Selvaraj
Language: English
Level: Introductory to Advanced
Number of Lessons: 190
Duration: 11 hours and 53 minutes
Course topics

AI Agents & Agentic Workflows with Spring AI, MCP and Java Prerequisites
No prior AI knowledge is required. We will start from the fundamentals with a hands-on approach.
Knowledge of Java and Spring Boot is required.
OpenAI and Gemini APIs may incur small usage costs. Expected cost for this course is approximately 1 USD.
Pictures

AI Agents & Agentic Workflows with Spring AI, MCP and Java introduction video
Installation guide
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Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
4.9 GB