AI for Java Spring Boot Backend Engineers: Build, Deploy, and Ship Intelligent Features
(AI Integration is No Longer Optional — It's the Expected Skill for Modern Backend Engineers)
- Every company is adding AI to their stack — Learn Spring AI integration through chatbots, document search,
vector databases and much more. - Crack better roles or grow in your current company by implementing AI-enabled use cases that solve
real business problems and prove your value. - Join other Java Spring Boot developers already shipping AI features — with hands-on code,
interview questions, and projects.
6 Modules to Master Spring AI
From AI fundamentals to production-ready RAG systems. Each module builds on the previous one with hands-on projects and interview prep.
AI Foundations
Understand LLMs, tokens, context windows, embeddings, temperature, and how AI models work under the hood.
Spring AI Core Features
Connect to OpenAI and Gemini, stream responses, manage conversations, and build with prompt templates.
Structured AI Output
Convert AI responses to Java objects. Build type-safe workflows with .entity() and ParameterizedTypeReference.
Function Calling (Tools)
Let AI execute your Java methods. Build support bots that track orders, process cancellations, and handle refunds.
Advisors (Middleware)
Build reusable interceptors for AI calls. Add logging, memory management, and PII redaction across all requests.
RAG (Vector Search)
Build AI systems powered by YOUR data. Ingest documents, store embeddings in pgvector, and create grounded AI assistants.
These 4 modules will be added at no extra cost. Price will increase after release.
Audio Processing
Image Generation
MCP (Model Context Protocol)
AI Agents
Build, deploy, and ship intelligent features in Spring Boot.
AI integration is no longer optional — it's the expected skill for modern backend engineers. Learn to build it in the language you already know.
Every company is adding AI to their stack. Learn Spring AI through chatbots, document search, and vector databases.
Crack better roles — or grow in your current company by shipping AI features that solve real business problems.
Join Java engineers already shipping AI — with hands-on code, interview questions, and real projects.
7 modules to master Spring AI.
From AI fundamentals to multimodal vision and production-ready RAG systems. Each module builds on the last with hands-on projects and real code.
AI Foundations
Understand LLMs, tokens, context windows, embeddings, and temperature — what's actually happening under the hood.
Spring AI Core
Connect to OpenAI and Gemini. Stream responses, manage conversations, build with prompt templates.
Structured AI Output
Convert AI responses to typed Java objects. Build type-safe workflows with .entity() and ParameterizedTypeReference.
Function Calling (Tools)
Let AI execute your Java methods. Build support bots that track orders, process cancellations, and handle refunds.
Advisors (Middleware)
Build reusable interceptors for AI calls. Add logging, memory management, and PII redaction across requests.
RAG (Vector Search)
Build AI systems powered by YOUR data. Ingest documents, store embeddings in pgvector, create grounded assistants.
Multimodal AI (GPT-4 Vision)
Use GPT-4 Vision through Spring AI to extract structured data from resumes, documents, and images. Build intelligent document processing into your backend.
2 more modules — at no extra cost.
AI Agents
MCP Protocol
Everything you'll get when you join
Build 5 UIs for Business use cases
Not just theory - you'll build real, working AI applications with complete source code included
Streaming Chat UI
Real-time chat with word-by-word streaming. Switch between OpenAI and Gemini instantly.
AI Code Review
Submit code for AI analysis. Get feedback on bugs, security, and best practices.
Ticket Analyzer
AI extracts priority, sentiment, category and generates escalation responses.
AI Support Bot
AI that executes real actions - track orders, cancel, return, check refunds.
RAG Assistant
AI powered by YOUR data. Upload docs, vector search, grounded answers with sources.
All UIs come with complete source code and detailed ReadMe file
Build 6 UIs for real business use cases.
Not theory. Working AI applications with complete source code. Each one solves a real business problem you can ship to production.
Streaming Chat UI
Real-time chat with word-by-word streaming. Switch between OpenAI and Gemini instantly.
AI Code Review
Submit code for AI analysis. Get feedback on bugs, security issues, and best practices.
Ticket Analyzer
AI extracts priority, sentiment, and category — and generates escalation responses automatically.
AI Support Bot
AI that executes real actions — track orders, cancel, return, check refund status.
RAG Assistant
AI powered by YOUR data. Upload documents, vector search, grounded answers with citations.
Resume Parser
Use GPT-4 Vision to extract structured data from resumes and documents. Auto-populate fields, no manual entry.
Every UI ships with complete source code and a detailed README.
no copy-paste from tutorialsYour Learning Roadmap
6 modules taking you from AI fundamentals to production RAG systems with lifetime access!
AI Foundations
- What are LLMs?
- Tokens & Pricing
- Context Windows
- Embeddings Explained
- Temperature & Parameters
Spring AI Core
- ChatClient & ChatModel
- Multi-Provider Setup
- Streaming Responses (SSE)
- Conversation Memory
- Prompt Templates
- Build: Streaming Chat UI
Structured Output
- .entity() Method
- ParameterizedTypeReference
- JSON Schema Generation
- Enums & Complex Types
- Conditional AI Calls
- Build: Ticket Analyzer
Function Calling
- @Tool Annotation
- @ToolParam Descriptions
- Multi-Tool Agents
- Error Handling
- Build: Support Bot
- Order/Cancel/Return Actions
Advisors (Middleware)
- CallAdvisor Interface
- Logging Advisor
- Memory Advisor
- PII Redaction
- Advisor Ordering
- Custom Advisor Chain
RAG & Vector Search
- Embedding Models
- PostgreSQL + pgvector
- Document Chunking
- Similarity Search
- Grounded Answers
- Build: RAG Assistant
Complete all 6 modules and become a
Spring AI Expert - Ready for Production & Interviews!Sneak Peek and Overview
Take Your Learning to the Next Level
- Lifetime Access
- Course Certificate
- Unlimited Updates
- Regularly Updated Content
Outside India? Pay via PayPal
Pay with PayPalTake it to the next level.
- Lifetime access to all lessons
- Course completion certificate
- Free updates — forever
- All future modules included
- Source code & project files
Course contents
(Click on any chapter below to open the Course Player)
Take it to the next level.
- Lifetime access to all lessons
- Course completion certificate
- Free updates — forever
- All future modules included
- Source code & project files
Frequently Asked Questions
AI is no longer optional - it's becoming a core skill. Every major company is integrating AI into their products. As a backend engineer, you're in the perfect position to lead these initiatives.
Here's why this matters for your career:
1. Job Security: Engineers who can build AI-powered features are in high demand and harder to replace.
2. Internal Growth: Be the person your team turns to for AI projects - that's how promotions happen.
3. Future-Proofing: AI integration will be as common as database work in 2-3 years. Start now and stay ahead.
4. Higher Salaries: AI/ML engineering roles command 20-40% higher compensation.
Absolutely not! This course is specifically designed for backend developers, not data scientists.
You won't be training models or doing complex math. Instead, you'll learn how to integrate pre-built AI models (like GPT-4, Gemini) into your Spring applications - just like you integrate databases or message queues.
If you can write a REST API in Spring Boot, you can build AI applications. Module 1 covers all the AI fundamentals you need - explained in terms developers understand.
By the end of this course, you'll be able to build production-ready AI features including:
1. Intelligent chatbots with streaming responses and conversation memory
2. AI-powered content analysis (code review, document summarization)
3. Support bots that execute real actions (check orders, process refunds)
4. RAG systems that answer questions from your company's documents
5. Smart ticket routing with sentiment analysis and auto-escalation
Very little - typically $2 to $5 for your handson practice and self learning.
OpenAI provides free credits for new users. Google Gemini has a generous free tier that covers most learning scenarios.
The course teaches you how to switch between providers, so you can use whichever offers better pricing for your use case.
Docker is only needed for Module 6 (RAG). Modules 1-5 work with just Java 17+ and your favorite IDE.
For Module 6, we use PostgreSQL with pgvector extension. A simple docker-compose up command sets everything up in seconds. Full instructions included.
System requirements:
- Java 17 or higher
- Any modern IDE (IntelliJ, VS Code, Eclipse)
- 8GB RAM recommended
- Docker Desktop (only for Module 6)
We're actively developing 4 advanced modules: Audio Processing, Image Generation, MCP (Model Context Protocol), and AI Agents.
If you enroll now, you'll get all 4 modules completely free when they're released. The course price will increase after each module launch.
Yes! All videos are delivered in clear, easy-to-understand English, accessible to a global audience.
Yes! You'll receive a Certificate of Completion after finishing all modules. Great for your LinkedIn profile and showing employers you're AI-ready.
Spring AI is the Java/Spring equivalent of LangChain.
If you're already in the Spring ecosystem, Spring AI integrates naturally with your existing codebase, dependency injection, security, and Spring patterns you already know.
LangChain is Python-first. Spring AI is Java/Kotlin-first, backed by the official Spring team with enterprise-grade design patterns and production-ready abstractions.
Your feedback helps us improve!
You can submit your thoughts through the Feedback & Suggestions section in the course. We read every submission and continuously update content based on student input.
Choose Your Learning Path
Bundle courses together and save. Each bundle is designed for a specific career goal.
+ System Design
+ AI for Spring Boot
+ System Design + AI
Lifetime access. Free updates. Certificates included.
Bundle up & save on the full path.
Combine this course with the others and save up to ₹1,500. Three bundles, one decision.
Who we are
Courses
-
Java Spring Boot Course
-
System Design Course
-
Blogs
-
Join Our Team
-
Newsletter
Other Links
