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

About this 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 teamsMCP servers: extending your agents with custom tools and external integrationsn8n: 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

Requireme

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