Spring Testing with AI-Assisted Workflows
Description
This hands-on course develops structured testing skills for Spring Boot applications while incorporating AI-assisted workflows. Participants practice building reliable test suites and learn how AI can support faster iteration through scaffolding, suggestion, and coverage improvement—without compromising correctness. The outcome is a clearer, more consistent approach to quality that reduces regressions and improves maintainability.
Indicative Duration: 20 training hours
*Duration is adjusted based on the final scope and the target audience.
Scope
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1. Testing Foundations
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• Testing overview • TDD principles • JUnit setup • AI Practice: AI explains testing strategies |
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| • Git & Maven for testing projects • AI Practice: AI scaffolds project structure & dependencies |
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| 2. Unit Testing | • Unit testing Spring services • AI Practice: AI generates test skeletons, naming & structure |
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3. Slice Testing
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• Slice testing (@WebMvcTest + REST controllers) • AI Practice: AI scaffolds slice test templates, context isolation |
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| • Slice testing (@DataJpaTest + JPA repositories) • AI Practice: AI scaffolds repository slice tests, example queries |
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| 4. Mocking & Test Isolation | • Mocking with Mockito • AI Practice: AI generates mock objects & behavior |
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| 5. Integration Testing | • Integration testing (services + repositories + REST) • AI Practice: AI scaffolds integration tests, context setup, rollbacks |
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6. Testing Strategy & Quality
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• Consolidated test strategies • AI Practice: AI shows combined examples of unit + slice + REST + JPA, anti-patterns, best practices |
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| • Test coverage & metrics • AI Practice: AI identifies missing coverage, suggests improvements |
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| 7. Capstone Project | • Full Spring test suite • AI Practice: AI scaffolds unit + slice + JPA + REST + integration tests |
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Learning Objectives
Upon completion of the course participants will be able to:
- Design and implement structured testing strategies for Spring Boot applications
- Develop unit, slice, and integration tests using JUnit and Mockito
- Apply Test-Driven Development (TDD) principles in practical scenarios
- Evaluate test coverage and improve test quality using AI-assisted suggestions
- Critically review and validate AI-generated test cases for correctness and completenes
Target Audience
- Roles: Backend Developers, Java Developers, Software Engineers
- Seniority: Junior to Mid-Level Professionals or Senior Professionals exploring AI-assisted testing
Prerequisite Knowledge
- Basic understanding of Java programming
- Familiarity with Spring Boot fundamentals
- Introductory knowledge of REST APIs
Delivery Method
Sessions can be delivered via the following formats:
- Live Online – Interactive virtual sessions via video conferencing
- On-Site – At your organization’s premises
- In-Person – At Code.Hub’s training center
- Hybrid – A combination of online and in-person sessions
