udemy GenAI & AI Agents for Java Spring Boot Devs | Copilot,Claude

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ABOUT THE COURSE:

Most AI courses teach you to use AI tools. This one teaches you to build AI agents that do engineering work autonomously — running in your CI pipelines, reacting to events, and fixing problems without waiting for you.

This is a hands-on course for freshers-mid-to-senior software engineers ready to move from AI user to AI agent builder.

You won't be building toy demos. Every agent in this course solves a real problem: automated PR reviews, slow query detection, with human approval gates, and more. Each build introduces a distinct architectural pattern you can adapt to your own stack.

What you'll learn

• How LLMs actually work: context windows, hallucinations, token limits, and why it matters when you're building agents, not just chatting

• Prompt engineering that holds up in production agent contexts

• Claude Code: terminal-native agentic coding with filesystem ownership and MCP integration

• GitHub Copilot: IDE-native and GitHub Actions agentic workflows

• OpenAI Codex: async task delegation with PR-based output

• Google Antigravity / Google Gemini: multimodal terminal input for Google ecosystem teams

• MCP servers: extending your agents with custom tools and external integrations

• n8n: event-driven orchestration that connects your agents to the rest of your workflow

• JetBrains AI: Run all AI tools inside IntelliJ IDEA

Who this is for

• Software engineers or Freshers who want to build and deploy real AI agents

• Java and Spring Boot developers integrating AI into existing backend systems

• DevOps and cloud engineers looking to automate repetitive operational work

• Any developer tired of demos and ready to run agents in actual CI/CD pipelines

Requirements

• Comfortable with at least one backend language (Java or Spring Boot experience is a plus)

• No prior AI or machine learning experience needed