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Generative AI for Java and Spring Development
Coursera
Course
Unknown

Generative AI for Java and Spring Development

SkillUp

This hands-on, project-driven course gives you the skills to bring artificial intelligence (AI) to life using Java and the Spring Framework. In just 3 weeks, you’ll learn how to build intelligent apps that create text, images, or recommendations quickly and become the go-to developer employers are looking for. To start, you’ll set up your Java development environment and dive into the core principles of AI. You’ll then move straight to building hands-on experience using tools and techniques su

Unknown3 weeks3,022 enrolled

About this Course

This hands-on, project-driven course gives you the skills to bring artificial intelligence (AI) to life using Java and the Spring Framework. In just 3 weeks, you’ll learn how to build intelligent apps that create text, images, or recommendations quickly and become the go-to developer employers are looking for. To start, you’ll set up your Java development environment and dive into the core principles of AI. You’ll then move straight to building hands-on experience using tools and techniques su

What You'll Learn

  • Explore AI concepts and set up a Java dev environment optimized for developing AI-powered applications with Java.
  • Build AI application features using Java and implement neural networks using Deeplearning4j for NLP, image recognition, and classification tasks.
  • Design and integrate AI service layers, RESTful APIs, and components into Spring applications using best practices.
  • Test, debug, deploy, and manage Spring AI apps with proper configuration, logging, and error handling strategies.

Instructors

S

SkillUp

R

Ramanujam Srinivasan

Topics

نشر النماذج
تطبيقات النماذج اللغوية الكبيرة (LLM)
الذكاء الاصطناعي التوليدي
مسارات عمل الذكاء الاصطناعي
بيئة التطوير
لغة جافا
تمكين الذكاء الاصطناعي
تحليل الصور
واجهات برمجة التطبيقات (RESTful API)
تطوير البرمجيات

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

نشر النماذج
تطبيقات النماذج اللغوية الكبيرة (LLM)
الذكاء الاصطناعي التوليدي
مسارات عمل الذكاء الاصطناعي
بيئة التطوير
لغة جافا
تمكين الذكاء الاصطناعي
تحليل الصور
واجهات برمجة التطبيقات (RESTful API)
تطوير البرمجيات

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