Spring Framework

Full Program

Industry-ready mentor-led cohort
Full Program

Training program

Spring Boot + Spring AI

14 WeeksAdvancedFull Program

The complete modern Java developer path — full-stack backend engineering combined with production-grade AI capabilities.

MicroservicesAI IntegrationCapstone Project
14 Weeks guided planLive mentor-led sessionsWeekend-friendly schedule100% online learningDoubt Support

Overview

Combine strong Spring Boot microservices fundamentals with Spring AI. Ideal if you want one continuous journey from REST APIs and cloud deployment to LLM-powered features your team can actually ship.

Top features

  • Build and secure Spring Boot microservices with testing and clean boundaries.
  • Deploy services to the cloud with CI/CD awareness and operational basics.
  • Add AI features using Spring AI: chat, RAG, and integration with existing domains.
  • Deliver a capstone that demonstrates backend + AI in one portfolio-ready story.

Key highlights

14 Weeks guided plan
Live mentor-led sessions
Weekend-friendly schedule
100% online learning
Doubt Support

Skills under this course

Spring Boot REST APIs + validationSecurity (Spring Security, JWT)Testing (unit/integration) + clean architectureMicroservices patterns + resilienceMessaging fundamentals + async workflowsContainers + cloud deploymentSpring AI (chat + RAG + vector stores)AI API design + production readinessCapstone: backend + AI feature deliveryMicroservicesAI IntegrationCapstone ProjectBuild and secure Spring Boot microservices with testing and clean boundaries.Deploy services to the cloud with CI/CD awareness and operational basics.

Course curriculum

Weekly structure may shift slightly by cohort; this is the core syllabus we cover end to end.

Spring Boot backend engineering
  • REST APIs + validation + persistence
  • Security (JWT) + testing strategies
  • Microservices patterns + resilience
  • API versioning and documentation
  • Data modeling and repository patterns
Backend foundations deep dive
  • Layered architecture and clean boundaries
  • DTO mapping and validation patterns
  • Error handling standards
Persistence and transactions
  • JPA mapping and fetch strategy
  • Transaction boundaries and consistency
  • Performance tuning basics
Security and identity
  • JWT and refresh token design
  • Role-based authorization patterns
  • Secure API gateway integration basics
Microservices communication
  • Sync vs async communication trade-offs
  • Message broker integration basics
  • Resilience patterns (retry, circuit breaker)
Cloud delivery & operations
  • Containers + environment configuration
  • Deployment workflows + observability basics
  • Performance + troubleshooting
  • Release strategies and rollback
  • Operational runbooks
Spring AI specialization
  • Chat + prompts + structured output
  • RAG + vector stores
  • AI API design + capstone delivery
  • Guardrails, evaluation, and safety checks
  • Production hardening for AI endpoints
Deployment and operations
  • Containerization best practices
  • Environment and config strategy
  • Monitoring and alerting setup
Capstone architecture and showcase
  • End-to-end system design
  • AI + backend integration milestones
  • Portfolio-ready final presentation

Real world case studies & projects

  • Guided Full Program use-case implementation
  • Architecture and troubleshooting review with mentor
  • Portfolio-ready mini project with code walkthrough

Reviews

*****

“Clear structure, practical assignments, and mentor guidance made Spring Boot + Spring AI easy to apply at work.”

Aman Verma · Software Engineer

TCS

*****

“Weekly feedback and project checkpoints helped me stay consistent and interview-ready.”

Nitika Jain · Cloud Associate

Infosys

*****

“Mentor sessions were practical and direct. I gained confidence in architecture decisions and implementation trade-offs.”

Rohit Sharma · Backend Developer

Cognizant

*****

“Structured curriculum, clear feedback, and consistent support helped me complete projects faster than expected.”

Sneha Kulkarni · Senior Analyst

Accenture

Course FAQs

Do I need prior experience?

This track is marked Advanced. We support learners from adjacent backgrounds and share a prep path in the first week.

Are sessions live or recorded?

Sessions are live and interactive. You also get recordings for revision and catch-up.

How much weekly time should I plan?

Typical effort is 6-8 hours/week including classes, labs, and revision for this 14 Weeks program.

Will I build real projects?

Yes. Each cohort includes practical case studies and implementation-focused assignments.