Spring Boot and Microservices Bootcamp

OVERVIEW
Building Strategic Influence in Matrix Organizations

Today, the one of the biggest opportunities in the IT space lies in utilizing containers and serverless, where infrastructure is less of a barrier to entry. In the near future, where the service resides will no longer have an impact on the creation and delivery of the service. Spring Boot and Microservices are playing a critical role in defining the future of service delivery and business architecture.

Microservices is an architectural style that structures an application a as collection of services that are highly maintainable and testable. They are a method of developing software applications that are made up of independently deployable, modular services. Each microservice runs a unique process and communicates through a well-defined mechanism like a container.

Spring Boot is an open-source Java-based framework that is used to create microservices. Spring Boot is one of the fastest ways to build applications. With Spring Boot, developers can focus more on important business features and less on infrastructure.

Cognixia’s Spring Boot and Microservices Bootcamp will acquaint you with the concepts of Microservices and Spring Boot, and help you be well-versed in working with them. The course trains participants to develop cloud-based, scalable, and fault-tolerant enterprise applications using microservices. The course discusses how to containerize applications using Docker. The course also covers how to deploy Spring Boot applications on AWS Cloud. The course also incorporates hands-on projects and exercises for a thorough experiential and practical learning experience.

WHAT YOU'LL LEARN
Why you shouldn't miss this course

By the end of this course, participants will have the leadership toolkit to shape and steer GenAI portfolios across their organization.

01Developing enterprise applications using microservices architecture
02Building and deploying cloud-based, scalable, and fault-tolerant applications
03Containerizing applications using Docker
04Deploying Spring Boot applications to AWS cloud
05Java developers
06Java software development engineers
07Full stack developers
08Software engineers
09Back-end developers
10Software specialists
11Applications developers
12Java architects
13AWS architects
14Cloud solutions architects

PREREQUISITES
Recommended experience

CURRICULUM
Structured for
Strategic Application
  • Introduction to Spring Boot
  • Features of Spring Boot
  • Using Spring Initializr
  • Understanding Spring Boot Auto Configuration
  • Exploring Spring Boot Annotations
  • Configuring application properties
  • Understanding profiles
  • Using Spring Boot developer tools
  • Introduction to REST
  • The GET, POST, PUT, and DELETE methods
  • The Accept and Content type headers
  • Creating a CRUD REST API
  • Implementing JPA based repositories
  • Perform validation and exception handling
  • Documenting RESTful web services
  • Versioning RESTful web services
  • API monitoring using Spring Boot actuator
  • Introduction to microservices
  • Monolithic vs. Microservices architecture
  • Advantages of microservices
  • Challenges of microservices
  • Components of microservices
  • Introduction to Spring Cloud
  • Options for hosting microservices
  • Testing microservices
  • Understanding Spring Cloud
  • Introduction to Eureka server
  • Creating the Eureka server
  • Registering the Eureka client
  • Looking up for services
  • Building a Eureka server and client applications
  • Introduction to Ribbon
  • Configuring Ribbon
  • Integrating Eureka and Ribbon
  • Introduction to Feign
  • Configuring Feign
  • Access services using Feign REST client
  • Importance of fault tolerance
  • Introduction to Hystrix
  • Configuring Hystrix
  • Exploring Hystrix dashboard
  • Introduction to Zuul
  • Implementing API gateway with Zuul
  • Understanding Zuul filters
  • Introduction to Spring Cloud Sleuth
  • Configuring Spring Cloud Sleuth
  • Introduction to Zipkin server
  • Tying up microservices to Zipkin
  • Trace requests
  • Working with Spring Cloud config server
  • Configure different environments
  • Create Git repository
  • Configure Config server to utilize Git repository
  • Connecting microservices to Config server
  • Introduction to Spring Cloud Bus
  • Implementing Spring Cloud Bus
  • Introduction to Rabbit MQ
  • Setup Rabbit MQ
  • Connect Spring Cloud Bus with Rabbit MQ
  • Build a Spring Boot microservices project
  • Deploy microservices project on AWS cloud
  • Dockerize the project

RECOMMENDED PARTICIPANT SETUP
This course follows Cognixia's AI-first,
hands-on learning model

Access to sanitized process maps, KPI definitions, candidate initiative lists, and basic cost baselines (time, cycle time, error or rework rates)

INTERESTED IN THIS COURSE?
Let's Connect

Speak with a Cognixia specialist about enrollment options, custom cohorts for your leadership team, or tailored delivery formats for your organization.

Response within 1 business day
Available in 5 delivery formats globally
Volume pricing for teams of 10+
Get in touch

One of our specialists will contact you within one business day.

FAQs
Frequently
Asked Questions

Find details on duration, delivery formats, customization options, and post-program reinforcement.

Microservices is an architectural style that structures an application a as collection of services that are highly maintainable and testable. They are a method of developing software applications that are made up of independently deployable, modular services. Each microservice runs a unique process and communicates through a well-defined mechanism like a container.

Spring Boot is an open-source Java-based framework that is used to create microservices. Spring Boot is one of the fastest ways to build applications. With Spring Boot, developers can focus more on important business features and less on infrastructure.

This Spring Boot and Microservices training will help participants master four very important tasks:

  • Develop enterprise applications using microservices architecture
  • Build and deploy cloud-based, scalable, and fault-tolerant applications
  • Containerize applications using Docker
  • Deploy Spring Boot applications on AWS cloud

Yes. Once all the sessions of the course are completed, you will be evaluated on the basis of multiple parameters such as your attendance in the sessions, your scores in multiple-choice questions-based assessment, etc. Based on your overall performance, you will receive a course completion certificate from Cognixia.

An internet speed of at least 2 Mbps is essential.

When you enroll for this course, you get lifetime access to our Learning Management System (LMS) which would be your one-stop destination to access class recordings, presentations, sample codes, projects and lots of other learning material. Even if you miss a session, a recording of that session, as well as all the other sessions would be available on the LMS that you can access anytime, anywhere.

For any queries, you can reach out to our technical support team and they will guide you accordingly.

WHY COGNIXIA
Why Cognixia for This Course

KEEP EXPLORING
Mapped Official Learning
Leadership
Equip enterprise leaders to drive culture, skills, policy, and operating-model change required for sustainable Generative AI adoption at scale.
In-Person Workshop, Virtual Instructor-Led
Applied
Enterprise-grade security, governance, and Responsible AI controls to protect, govern, and operate GenAI and agentic systems safely at scale.
In-Person Workshop, Virtual Instructor-Led
Applied
Build portable, enterprise-grade GenAI systems that run consistently across Databricks, AWS, and Google Vertex AI—without vendor lock-in, quality drift, or governance gaps.
In-Person Workshop, Virtual Instructor-Led
Applied
Systematic testing, evaluation, and quality engineering frameworks for validating GenAI and agentic AI systems at enterprise scale.
In-Person Workshop, Virtual Instructor-Led
Applied
Production-grade GenAIOps and LLMOps practices to deploy, monitor, evaluate, and govern enterprise-scale LLM and agentic applications with reliability and control.
In-Person Workshop, Virtual Instructor-Led
Applied
Design, build, evaluate, and operate production-grade agentic AI systems with multi-agent orchestration, tool integration, and enterprise-grade safety controls.
In-Person Workshop, Virtual Instructor-Led

READY TO SHAPE YOUR AI FUTURE?
Let's build the workforce
of the future

Enroll your leadership cohort in Designing GenAI Use-Case Portfolios & Business Cases.
Custom cohorts available for enterprise teams.