Generative AI for Java and Spring Developers

IBM via Coursera Specialization

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Overview

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Generative AI skills boost tech salaries by up to 50 percent (CIO Dive). Java developers with strong AI skills are in-demand! This four-course specialization gives Java and Spring developers GenAI skills for building AI-powered apps that businesses desperately need. Java developers use generative AI to build intelligent applications, automate code generation, enhance productivity, and integrate advanced AI features like chatbots, recommendation engines, and NLP into Java and Spring-based systems. In this program, you’ll identify essential tools and real-world applications for AI-generated text, imagery, audio, and more. Enhance your productivity with prompt engineering skills, best practices for AI development, and real-world AI tool experience. You’ll develop GenAI skills for writing and improving code, designing apps, solving problems, and addressing AI-assisted programming ethical concerns. You’ll learn how to set up a Java environment optimized for AI libraries, and use Deeplearning4j to build neural network apps, image recognition, and recommendation systems in Java. You’ll master debugging, deploying, and managing Spring AI apps with robust configuration, logging, and error handling. Complete this specialization ready to design and integrate AI-powered service layers, RESTful APIs, and components into Spring apps. Share your portfolio projects with your peers, managers, and prospective employers. Reap the rewards of developing your career and sign up today!

Syllabus

Course 1: Generative AI: Introduction and Applications
Course 2: Generative AI: Prompt Engineering Basics
Course 3: Generative AI:Elevate your Software Development Career
Course 4: Generative AI for Java and Spring Development

Courses

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9 hours 16 minutes
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As generative AI (GenAI) reshapes workplaces and job roles, using it effectively is now essential. Prompt engineering is the key to directing GenAI models and refining their output for desired results. This course is for professionals, executives, students, and AI enthusiasts ready to harness prompt engineering to unlock tools like ChatGPT. You’ll learn practical techniques, structured methods, and best practices for crafting strong prompts. Explore zero-shot and few-shot prompting to boost reliability and output quality. Discover advanced methods such as the Interview Pattern, Chain-of-Thought, and Tree-of-Thought to produce accurate, context-aware responses. Hands-on labs and projects provide experience with multimodal prompting, the playoff method, and image generation. You’ll practice blending text and visuals and evaluating AI outputs for precision and usefulness. Podcasts, dialogues, and discussions link theory to real-world scenarios, while expert insights highlight strategies for effective prompt use. A final project and graded assessments ensure you can apply these techniques with confidence, leaving you with practical, job-ready skills. Hear from practitioners about the techniques and artistry behind writing impactful prompts. Enroll today to master prompt engineering and unlock GenAI’s potential.
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8 hours 6 minutes
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This course is designed for everyone—professionals, executives, students, and enthusiasts—interested in learning about generative AI and leveraging its capabilities in their work and lives. It is your first step toward understanding the power of generative AI, driven by models such as large language models (LLMs). In this course, you will learn the fundamentals and evolution of generative AI, with additional readings and expert insights offering a deeper view of its history and advancements. You will explore its capabilities across text, image, audio, video, virtual worlds, code, and data, with key takeaways and enhanced summaries at the end of each section to reinforce learning. You will understand the applications of generative AI in industries such as IT, finance, healthcare, education, entertainment, and human resources. You will also discover the features of popular tools and models, including GPT, DALL-E, Stable Diffusion, and Synthesia. Hands-on labs provide opportunities to practice using IBM Generative AI Classroom and tools such as ChatGPT. You will also hear from industry practitioners sharing real-world insights. Interactive activities, podcasts, and scenario-based exercises help you apply concepts, while a final practical project consolidates your skills by generating and refining outputs across multiple formats.
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1 day 40 minutes
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Generative AI (GenAI) is now an essential skill for software developers keen to future-proof their careers. This course gives existing and aspiring developers the job-ready skills employers are looking for to build intelligent, adaptive, and secure solutions. You'll learn how to harness generative AI for code generation, software design, bug detection, testing, optimization, and documentation. You'll also explore how AI integrates into DevSecOps and continuous integration and continuous deployment (CI/CD) pipelines, supports translation, review, and security, and strengthens software delivery. You’ll examine large language models (LLMs), natural language processing (NLP), and prompt engineering to gain insight into how to use these technologies effectively. Plus, you’ll look at agentic AI and retrieval-augmented generation (RAG) for extending autonomy, and you’ll get hands-on with vibe coding tools and practices that transform how developers interact with code. You’ll also consider ethical and responsible AI practices to ensure you innovate responsibly. If you’re keen to leverage GenAI to build software faster and better so you can power your career forward, enroll today!
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8 hours 42 minutes
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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 such as Deeplearning4j and Spring AI in practical projects that employ powerful Java and Spring AI libraries. Plus, you’ll integrate your AI skills with Spring, leveraging its robust architecture to build smart applications. This course is ideal for developers with a working knowledge of Java and Spring who want to break into the fast-moving world of AI without switching ecosystems or learning a new language from scratch. If that’s you… enroll today and build the highly sought-after GenAI skills employers are actively seeking in just 3 weeks.