Red Hat Application Development I: Programming in Java EE

OVERVIEW
Building Strategic Influence in Matrix Organizations

This course is designed to help experienced Java SE developers explore the world of Java Enterprise Edition (Java EE). During the course, participants will learn how to transform and develop simple Java SE command line applications into multi-tiered enterprise applications using various Java EE specifications. The course also covers how to package and deploy Java EE applications, and create REST services with JAX-RX. During the course, participants will learn how to create messaging applications with JMS and secure Java EE applications with JAAS.

This course is based on Red Hat® Enterprise Application Platform 7.0.

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.

01Generate multi-tiered Java EE applications
02Package and deploy Java EE applications
03Create Enterprise Java Beans, including message-driven beans
04Manage persistence
05Create REST services with JAX-RS
06Implement Contexts and Dependency Injection
07Create messaging applications with JMS
08Secure Java EE applications with JAAS

PREREQUISITES
Recommended experience

CURRICULUM
Structured for
Strategic Application
  • Describe Java EE features and distinguish between Java EE and Java SE applications
  • Describe the architecture of a Java EE application server, package an application, and deploy the application to an EAP server
  • Develop Enterprise Java Beans, including message-driven beans
  • Create persistence entities with validations
  • Define and manage JPA entity relationships
  • Create REST APIs using the JAX-RS specification
  • Describe typical use cases for using CDI and successfully implement it in an application
  • Create messaging clients that send and receive messages using the JMS API
  • Use JAAS to secure a Java EE application
  • Demonstrate proficiency of the knowledge and skills obtained during the course

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

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.
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Enterprise-grade security, governance, and Responsible AI controls to protect, govern, and operate GenAI and agentic systems safely at scale.
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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.
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Applied
Systematic testing, evaluation, and quality engineering frameworks for validating GenAI and agentic AI systems at enterprise scale.
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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.