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Spring Boot Microservices & Spring AI

From Monolith to Microservices | AI Integration | 16-Hour Intensive Course

₹4,750/-

All-inclusive (no hidden fees)

Hands-on labs
Certificate of completion
Mentor support
Small cohort

Ready to Join?

+91 96594 44550

Course Overview

  • Duration: 16 Hours Total
  • Schedule: Flexible (2 full days or 4 half-days)
  • Format: Live Sessions + Hands-on Labs
  • Requirement: Basic Java knowledge preferred
  • Certificate: Completion Certificate included
  • Flexible Format: Can be scheduled as weekend intensives or weekday sessions

Why Join This Course?

  • Master Spring Boot from foundations to advanced concepts
  • Learn modern microservices architecture and design patterns
  • Hands-on experience with Spring AI and OpenAI integration
  • Build real-world mini projects throughout the course
  • Industry-relevant skills for modern enterprise development
  • Transform from monolithic to microservices thinking

Prerequisites

  • Basic Java programming knowledge
  • Understanding of databases (SQL basics)
  • Basic understanding of web concepts (HTTP, REST)
  • Comfortable with command line tools
  • Laptop with Java 17+ and IDE (IntelliJ/Eclipse)

What You'll Build

  • User Service with CRUD operations
  • Order Service with database integration
  • AI Service for recommendations and summarization
  • Service-to-service communication with Feign
  • Microservices infrastructure setup

📚 Detailed 16-Hour Course Schedule

Module 1 – Spring Boot Foundations (4 Hours)
Hour 1 – Introduction & Setup
• Monolith vs Microservices – pros & cons with real-world case studies
• Development environment setup (Spring Initializr, IDE, Maven/Gradle)
• Quick "Hello World" application to validate setup
Hour 2 – Spring Boot Basics
• Anatomy of a Spring Boot project
• @SpringBootApplication breakdown (@Configuration, @EnableAutoConfiguration, @ComponentScan)
• Component Scan vs Auto-Configuration
• Application Profiles (dev, test, prod)
Hour 3 – REST APIs with Spring Boot
• Creating REST endpoints (GET, POST, PUT, DELETE)
• Path variables and query parameters
• JSON request/response handling
• HTTP status codes and best practices
Hour 4 – Working with Data (Spring Data JPA)
• Connecting to databases (H2/MySQL)
• Entities, repositories, and CRUD APIs
• Exception handling with @ControllerAdvice
• Database per service principle in microservices
Module 2 – Microservices Building Blocks (4 Hours)
Hour 5 – Service Layer & DTOs
• Service classes with @Service annotation
• DTOs vs Entities + ModelMapper
• Exception handling patterns
• Best practices for service layer design
Hour 6 – Microservices Design Principles
• What makes a service "micro"?
• Bounded Context (Domain-Driven Design basics)
• Single Responsibility and Loose Coupling
• Reflection: monolith vs microservices implementation
Hour 7 – Calling External APIs
• RestTemplate (legacy awareness)
• WebClient (modern, non-blocking approach)
• Practical example: calling external public APIs
• Response transformation and error handling
Hour 8 – Service-to-Service Communication
• Feign Client fundamentals
• Why Feign over RestTemplate for microservices
• Circuit Breaker pattern with Resilience4j
• Fault tolerance and resilience strategies
Module 3 – Microservices Infrastructure & Scaling (4 Hours)
Hour 9 – Configuration Management
• Centralized configuration with Spring Cloud Config
• Environment-specific configurations
• Configuration refresh and externalization
• Best practices for configuration management
Hour 10 – Service Discovery
• Eureka Server & Client setup
• Spring Cloud LoadBalancer for request distribution
• Horizontal scaling strategies
• Comparison: monolith single instance vs microservices scaling
Hour 11 – Messaging in Microservices
• Why asynchronous communication? Benefits over synchronous REST
• Producer/Consumer pattern explained
• Hands-on: Kafka producer & consumer implementation
• Decoupling and resilience in microservices architecture
Hour 12 – Observability in Microservices
• Logging best practices (JSON logging)
• Distributed tracing with Sleuth/Zipkin
• Metrics with Spring Boot Actuator + Micrometer
• Monitoring and debugging microservices
Module 4 – Spring AI & Integration Project (4 Hours)
Hour 13 – Introduction to Spring AI
• What is Spring AI and its ecosystem
• Spring AI + OpenAI integration basics
• Building your first AI-powered REST endpoint
• Understanding AI models and APIs
Hour 14 – AI Use Cases in Microservices
• Using AI for recommendations and summarization
• Example: AI service for customer feedback analysis
• Prompt Templates and best practices
• Integrating AI services with existing microservices
Hour 15 – Hands-On Mini Project (Integration)
• Building complete Book/Order Management system:
  - User Service (CRUD operations)
  - Order Service (Feign + Database)
  - AI Service (summarize/recommend)
• Integration with Config, Eureka, Gateway, and Kafka
Hour 16 – Wrap-up & Next Steps
• Recap: Monolith → Microservices → AI integration journey
• Testing strategies (unit, integration, contract testing)
• Deployment preview: Docker basics + Kubernetes introduction
• Career paths and next learning resources
• Q&A and project showcase

Technologies & Tools Covered

Spring Boot 3.x
Spring Cloud
Spring AI
Spring Data JPA
Feign Client
Eureka
Apache Kafka
Zipkin/Sleuth

Flexible Scheduling Options

Weekend Intensive

2 Saturdays, 8 hours each day

Weekday Sessions

4 sessions, 4 hours each

Custom Schedule

Tailored to your availability

Ready to Master Spring Boot & Microservices?

Transform your backend development skills with our comprehensive 16-hour course and build modern, scalable applications with AI integration.

+91 96594 44550
info@heptafox.com
Register Now