Online or onsite, instructor-led live Jakarta EE training courses demonstrate through interactive hands-on practice how to use Jakarta EE to build, migrate, and deploy cloud-native applications, utilizing the full implementation of Java EE 8 and cloud computing technology.
Jakarta EE training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Jakarta EE training can be carried out locally on customer premises in Hangzhou or in NobleProg corporate training centers in Hangzhou.
The Hangzhou Foreign Economy & Trade Plaza Centre is in the heart of Hangzhou's central business district. The area i...
The Hangzhou Foreign Economy & Trade Plaza Centre is in the heart of Hangzhou's central business district. The area is home to a vibrant private sector with many multinational companies having set up a base there including those working in banking, IT, electronics, engineering and foreign trade. Just 1.5 hours from Shanghai by train, the city has a growing economy with many more companies attracted to the area. Hangzhou has been one of the wealthiest cities in China for over 1,000 years, mainly due to the stunning natural beauty of the area as well as its location on the Hangzhou Bay. There are many shopping malls, restaurants and hotels within walking distance of the centre.
This instructor-led, live training in Hangzhou (online or onsite) is aimed at developers who wish to use Jakarta EE to build, migrate, and deploy cloud-native applications, utilizing the full implementation of Java EE 8 and cloud computing technology.
By the end of this training, participants will be able to:
Set up the necessary development environment to start developing Jakarta EE applications.
Create and build database-driven applications with Jakarta Persistence API.
Develop and integrate Jakarta EE applications with Jakarta RESTful web services for portability.
Containerize cloud-native applications for cloud deployment with Docker.
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