IBM
Generative AI for Java and Spring Developers 专项课程
IBM

Generative AI for Java and Spring Developers 专项课程

Future-proof your Java career opportunities. Master GenAI & create AI Java apps in 2 months. No prior AI experience required.

SkillUp
Rav Ahuja
Antonio Cangiano

位教师:SkillUp

1,629 人已注册

包含在 Coursera Plus

深入学习学科知识
4.8

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4 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度
深入学习学科知识
4.8

(38 条评论)

中级 等级

推荐体验

4 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度

您将学到什么

  • Job-ready GenAI skills businesses need for building Java AI-powered apps more quickly and efficiently.

  • Build and deploy Java AI apps using libraries, neural networks, Spring integration, and best practices for testing, APIs, and error handling. 

  • Explain and apply prompt engineering techniques, best practices, and tools for creating effective prompts for generative AI.

  • Use generative AI tools to write and improve code, design apps, solve problems, and address ethical concerns in AI-assisted programming.

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授课语言:英语(English)
最近已更新!

May 2025

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  • 培养对关键概念的深入理解
  • 通过 IBM 获得职业证书

专业化 - 4门课程系列

您将学到什么

  • Describe generative AI and distinguish it from discriminative AI.

  • Describe the capabilities of generative AI and its use cases in the real world.

  • Identify the applications of generative AI in different sectors and industries.

  • Explore common generative AI models and tools for text, code, image, audio, and video generation.

您将获得的技能

类别:Generative AI
类别:ChatGPT
类别:Responsible AI
类别:Machine Learning
类别:Artificial Intelligence and Machine Learning (AI/ML)

您将学到什么

  • Explain the concept and relevance of prompt engineering in generative AI models. 

  • Apply the best practices for creating prompts.

  • Assess commonly used tools for prompt engineering.

  • Apply common prompt engineering techniques and approaches for writing effective prompts.

您将获得的技能

类别:Prompt Patterns
类别:Prompt Engineering
类别:Generative AI
类别:Image Quality
类别:ChatGPT

您将学到什么

  • Demonstrate how to generate code snippets, scripts, and programs using generative AI models

  • Apply generative AI techniques for application design, architecture, bug detection, code refactoring, and program optimization

  • Develop innovative solutions using generative AI-powered tools such as ChatGPT, GitHub Copilot, Google Gemini, and IBM watsonx Code Assistant

  • Explain the challenges and ethical considerations associated with using generative AI for programming, along with strategies for mitigating them

您将获得的技能

类别:Large Language Modeling
类别:Software Testing
类别:Generative AI
类别:Application Security
类别:Artificial Intelligence
类别:Natural Language Processing
类别:Software Architecture
类别:DevSecOps
类别:CI/CD
类别:Responsible AI
类别:Test Automation
类别:Software Engineering
类别:Software Development
类别:Software Development Tools
类别:Prompt Engineering

您将学到什么

  • 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.

您将获得的技能

类别:Java
类别:Generative AI
类别:Image Analysis
类别:Test Tools
类别:Software Development
类别:Application Programming Interface (API)
类别:Development Environment
类别:Computer Vision
类别:Restful API
类别:Application Deployment

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位教师

SkillUp
SkillUp
106 门课程314,900 名学生

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IBM
SkillUp

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