GenAI & AI Agents for Java Spring Boot Devs | Copilot, Claude
Faisal Memon
Software engineer, Product, Entrepreneur
Move from AI user to AI agent builder — on real engineering problems, not toy demos.
🎯 Here's What You'll Build
- ✅ Foundations: Understand how LLMs actually work — context windows, hallucinations, token limits — and why it matters when you're building agents, not just chatting.
- 🚀 Real agents: Build agents that solve real problems — automated PR reviews, slow query detection, human approval gates — each introducing an architectural pattern you can adapt to your own stack.
Every agent runs against real engineering work, not notebooks. - 🧠 Orchestration: Connect your agents to the rest of your workflow with MCP servers and event-driven orchestration using n8n.
- 🌐 In production: Run agents autonomously in your CI/CD pipelines, reacting to events and fixing problems without waiting for you.
🎯 Final Outcome:
- ✅ The ability to build and deploy real AI agents, not just use AI tools
- ✅ Reusable agentic architecture patterns you can apply to your own codebase
- ✅ Practical, in-demand AI engineering skills that make you significantly harder to replace
Hurry! Sale ends in
Enroll at lowest price
Enroll at lowest price
🚀 BUILD AGENTS, NOT JUST CHAT! 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-to-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, 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
- 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
By the end of this course, you'll be able to design, build, and deploy real AI agents that automate engineering work on your own stack. Enroll now and become an AI agent builder!
Build AI agents that do engineering work autonomously — Claude Code, GitHub Copilot, MCP, n8n, and agentic workflows for Java & Spring Boot developers.
Enroll for free with Udemy For Business Subscription
Note: This offer won't last long!What You Get After Enrolling?
- Build real, deployable AI agents — automated PR reviews, query detection, approval gates and more
- Master Claude Code, GitHub Copilot, OpenAI Codex, Google Antigravity & JetBrains AI
- Extend agents with MCP servers and orchestrate workflows with n8n
- Run agents autonomously inside real CI/CD pipelines
- Lifetime access with a 30-day refund policy
Who This Course 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.
Why Should You Enroll Today?
Here's why:
- The link below the "Enroll" button contains a coupon for the LOWEST possible price. This offer is for a limited time and exclusively for my existing viewers.
- You'll learn to build agents that do real engineering work, not just chat with AI.
- Learn the exact tools the industry is adopting right now: Claude Code, GitHub Copilot, OpenAI Codex, Google Antigravity, MCP, and n8n.
- Every build is a real problem with a reusable architectural pattern you can take to your own stack.
- All this for the price of a couple of coffees! High-quality, hands-on, and constantly relevant.