Building HTTP APIs with Spring
Master Spring framework implementations for creating secure, scalable RESTful web services and APIs with comprehensive testing and deployment.
Master Spring framework implementations for creating secure, scalable RESTful web services and APIs with comprehensive testing and deployment.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Scalable Microservices for Developers Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.4
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What you'll learn
Build RESTful APIs using Spring framework
Implement Spring Security for authentication
Master Spring Boot and dependency injection
Create data persistence layers with JPA
Develop secure web applications
Understand HTTP protocols and implementations
Skills you'll gain
This course includes:
4 Hours PreRecorded video
2 assignments
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FullTime access
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There are 4 modules in this course
This comprehensive course teaches students how to build robust HTTP APIs using the Spring framework. The curriculum covers fundamental concepts including dependency injection, HTTP protocols, RESTful services, and Spring Boot implementation. Students learn data persistence with Spring Data JPA, security implementation with Spring Security, and testing strategies. The course emphasizes hands-on learning through practical examples and real-world applications.
Frameworks, Components, & Dependency Injection
Module 1 · 53 Minutes to complete
Understanding HTTP
Module 2 · 3 Hours to complete
Building Web Applications
Module 3 · 1 Hours to complete
Web Application Security Basics
Module 4 · 4 Hours to complete
Fee Structure
Instructors
Professor of Computer Science and Associate Chair of the Computer Science and Engineering Program
Douglas C. Schmidt is a Professor of Computer Science and Associate Chair of the Computer Science and Engineering program at Vanderbilt University. A Senior Researcher at the Institute for Software Integrated Systems, he has also served as Chief Technology Officer at Carnegie Mellon's Software Engineering Institute. Dr. Schmidt has authored 10 books and over 500 papers on software patterns, optimization, and real-time middleware. He has led the development of ACE, TAO, and CIAO, widely-used middleware frameworks applied in defense, telecom, financial services, healthcare, and gaming industries.
Professor of Computer Science at Vanderbilt University
Dr. Jules White is a Professor of Computer Science at Vanderbilt University, where he also serves as the Director of the Initiative on the Future of Learning & Generative AI and the Associate Dean of Strategic Learning Programs in the School of Engineering. He is recognized for creating one of the first online courses in Prompt Engineering, which focuses on effective communication with AI systems. A recipient of the National Science Foundation CAREER Award, Dr. White has published over 160 papers and has received multiple Best Paper Awards for his research. His work primarily explores large language models, including ChatGPT, as well as topics in cybersecurity and software engineering across various sectors such as healthcare and manufacturing. He leads the Mobile Application Computing, Optimization, and Security Methods (MAGNUM) Group at Vanderbilt University, where he conducts his research and development efforts.
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4.4 course rating
14 ratings
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