What will you learn in Generative AI for Java and Spring Developers Specialization Course
Implement AI-driven features in Java applications using the Spring Framework and popular GenAI libraries.
Integrate large language models via OpenAI’s API for tasks like text generation, summarization, and code assistance.
Apply prompt engineering best practices to craft effective, context-aware prompts in Java-based workflows.
Architect scalable, maintainable AI pipelines—covering CI/CD, security, testing, and DevSecOps with GenAI.
Program Overview
Course 1: Generative AI for Java and Spring Development
⏳ 3 weeks (~11 hours)
Topics: Spring Boot integration, dependency setup, LLM client configuration.
Hands-on: Build a Java/Spring app that calls ChatGPT for text and image generation; implement entity extraction and context management.
Course 2: Generative AI: Introduction and Applications
⏳ 7 hours
Topics: Foundation models vs. discriminative models, GenAI use cases across text, code, and visuals.
Hands-on: Prototype simple GenAI features in a Java environment and compare model outputs.
Course 3: Generative AI: Prompt Engineering Basics
⏳ 9 hours
Topics: Crafting zero-/few-shot prompts, chain-of-thought patterns, prompt templating strategies.
Hands-on: Develop and refine prompts for diverse Java-based scenarios—logging enhancement, code generation, and data summarization.
Course 4: Generative AI: Elevate Your Software Development Career
⏳ 11 hours
Topics: CI/CD with AI (e.g., automated testing, code review), GenAI for security scanning and DevSecOps, architectural diagrams generation.
Hands-on: Integrate GenAI into your build pipeline—automatically generate test cases, perform security analysis, and deploy an AI-powered microservice.
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Job Outlook
Roles: AI-Enhanced Java Developer, Generative AI Engineer, Spring Boot Architect with AI specialization.
Demand: Enterprises in fintech, e-commerce, and SaaS seek Java developers who can embed GenAI into backend services.
Salaries: Java developers with GenAI expertise command $110K–$150K USD, reflecting a 30–50% premium over standard Java roles.
Growth: Proficiency in AI integrations and prompt engineering positions you for senior roles in AI-driven product teams.
Specification: Generative AI for Java and Spring Developers Specialization
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FAQs
- No, the course introduces AI concepts before diving deep.
- Prior Java and Spring Boot knowledge is essential.
- AI background helps but isn’t mandatory.
- You’ll learn prompt engineering and LLM integration step by step.
- The course bridges Java expertise with GenAI applications.
- Yes, the focus is on production-ready AI pipelines.
- You’ll learn CI/CD integration with AI components.
- Security and DevSecOps are part of the curriculum.
- Designed to scale into enterprise-grade systems.
- Employers value these hybrid Java–GenAI skills highly.
- It is tailored specifically for Java and Spring developers.
- Focuses on integrating LLMs into backend systems.
- Covers prompt engineering with Java-specific examples.
- Includes DevOps, testing, and deployment workflows.
- Unlike generic AI courses, it ties theory directly to Java ecosystems.
- Fintech companies automating compliance and customer service.
- E-commerce platforms using AI-driven personalization.
- SaaS providers integrating AI assistants into products.
- Healthcare systems building secure, AI-supported tools.
- Large enterprises modernizing Java-based legacy systems with AI.
- Java + GenAI developers command higher salaries.
- Premiums of 30–50% over traditional Java roles.
- Average range: $110K–$150K USD.
- Specialized roles like AI-enhanced Spring Boot Architect are growing.
- Skills also open doors to leadership positions in AI-driven teams.
