Building Strategic Influence in Matrix Organizations
Spring Boot allows Java developers to create standalone Spring applications that “just run,” typically using an embedded instance of Tomcat, Jetty, or Undertow.
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.
01Learn the fundamentals of Groovy, which is required for scripting Spring Boot
02Install the Spring Boot Command Line Interface (CLI)
03Build and deploy Spring Boot applications
PREREQUISITES
Recommended experience
CURRICULUM
Structured for Strategic Application
Spring Boot Overview
Features Of Spring Boot
Creating a new Spring Boot Project using the CLI
Creating a new Spring Boot Project using the STS
Understanding the POM file
Understanding the Spring Boot Starters
Understanding Application.java
Understanding application.properties
Understanding ApplicationTests.java
Creating a new Spring Boot Project using the Spring Initializer
Understanding the Spring Boot auto configuration
Overriding the default configuration values
Changing the location of the configuration file
Reading the Custom Properties
Using a .yml file for configuration
Using multiple Configuration files
Changing the Default Embedded Web Server
Implementing the Data Access Layer With Spring Data JPA and Hibernate
Implementing the Service Layer
Implementing the Controller Layer-Spring Rest API
Spring Security Integration with Spring Boot
Spring Boot Logging
HealthCheck and Metrics Using Actuators
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.
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Response within 1 business day
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Available in 5 delivery formats globally
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Volume pricing for teams of 10+
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One of our specialists will contact you within one business day.
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.
Production-grade GenAIOps and LLMOps practices to deploy, monitor, evaluate, and govern enterprise-scale LLM and agentic applications with reliability and control.
Design, build, evaluate, and operate production-grade agentic AI systems with multi-agent orchestration, tool integration, and enterprise-grade safety controls.