From Java Dev to AI Engineer: Spring AI Fast Track (Udemy.com)

Excellent, hands-on introduction to Spring AI This course explains core concepts like RAG, prompt templating, and tool calling with real working code, not just slides. The pacing respects your existing Spring Boot knowledge and focuses purely on the AI layer. After finishing, I was able to build my own project extending these ideas: RAG with a full ETL pipeline (Tika, chunking, embeddings, Qdrant), a custom MCP server with sampling and human-in-the-loop elicitation, and production concerns like semantic caching and guardrails. Solid course for any Java developer who wants to actually ship AI features, not just learn theory. Recommended.

The lecturer focuses heavily on a “repeat after me” approach without explaining how the different concepts are connected. For example, instead of explaining that there are two ways to create a `ChatClient` and when and why to use each, he simply goes through the motions: “Let me type this, then let me type that.” He also covers only one way of getting structured output—through prompt guidance—while completely ignoring the modern provider-native approach using `entity()` with `useProviderStructuredOutput()`. At the same time, he spends far too much time on obvious or relatively unimportant topics, such as why you shouldn’t use a single `conversationId` across the entire application, while omitting or barely covering much more important concepts and functionality. Overall, this course is only useful as a brief, partial overview of Spring AI, not for developing a deep and structured understanding of the framework.

Kurz Spring AI hodnotím veľmi pozitívne. Najviac oceňujem, že nezostal iba pri teórii o umelej inteligencii, ale postupne ukázal, ako AI reálne integrovať do aplikácie postavenej na Spring Boot. Veľkým prínosom pre mňa bolo množstvo praktických ukážok a vysvetlenie jednotlivých súvislostí – od komunikácie s AI modelmi, MCP, Tools, promptov a práce s API až po pokročilejšie možnosti Spring AI. Páčilo sa mi tiež, že kurz nezabudol ani na veci okolo samotnej aplikácie a nástroje ako Docker, Mailpit, Prometheus a ďalšie .. Osobne mi kurz otvoril úplne nový pohľad na to, čo je dnes možné vytvoriť kombináciou Javy, Spring Bootu a AI. Po jeho absolvovaní nemám iba pocit, že som sa naučil používať ďalšiu knižnicu. Predovšetkým oveľa lepšie rozumiem tomu, ako môžem AI začleniť do vlastných projektov a ďalej na týchto vedomostiach stavať. Veľmi oceňujem aj spôsob výkladu – jednotlivé témy sú podané zrozumiteľne, postupne a s dôrazom na praktické využitie. Ďakujem za výborne spracovaný kurz a množstvo práce, ktoré doň bolo vložené. Určite ho odporúčam každému Java/Spring vývojárovi, ktorý nechce AI iba používať ako používateľ, ale chce pochopiť, ako ju integrovať do vlastných aplikácií.

As a Java Backend Developer with 7 years of experience, I am incredibly excited about the potential of Generative AI in the enterprise ecosystem, and this Udemy course on Spring AI delivered exactly what I needed. Integrating AI into production-grade systems often feels fragmented, but this course demystifies the entire landscape. The author is a true professional in the Spring AI space, showcasing deep expertise and structuring the lessons around real-world design patterns. Key Highlights - Comprehensive Scope: The learning materials cover the entire Spring AI SDK from end to end, leaving no stones unturned. - Understandable & Concise: The information is highly synthesized. It respects your time by avoiding unnecessary fluff, making complex AI concepts accessible. - Code Samples: Every single code example works flawlessly locally. There were zero dependency issues or configuration gaps, allowing me to fully concentrate on learning the core features rather than troubleshooting environment bugs. Whether you are looking to build multi-model pipelines, tap into vector databases, or master structured outputs, I highly recommend this course to my colleagues and any seasoned backend engineer looking to transition from traditional Java development to AI engineering.

Thanks a lot Madan, when ever i look for something related to java i first look for your courses. I learned a lot from you like springboot microservice(80 hours ) course and SPringAI and many more . Big big thanks to You.. You are really amazing.... Please make a video on SPring AI ,where we can use Gaurdrails ,cache for fix type of query,implement authority and authorization kind of all advance springboot concept with AI

Explained the course in great detail and learnt a lot of AI jargons and their internal working. Until this course, I didn't know that Spring AI has so much support for the recent AI advancements. Thanks for bringing up this course. I would love to enroll into a more advanced course as a follow-up to this where you could help develop a full production grade app till deployment into any renowned cloud provider along with evals and observability integrated. Waiting for such a course!!

Amazing course! The concepts are explained exceptionally well, with clear, step-by-step explanations and plenty of practical, real-world examples. The instructor does an excellent job of simplifying complex topics, making them easy to understand even for beginners. The hands-on exercises reinforce the concepts and help build confidence in applying them to real projects. If you're looking to learn this technology from scratch or strengthen your existing knowledge, this course is absolutely worth it. Without a second thought, go for it—highly recommended!

First of all, thank you for putting together such rich, deep content on RAG and Tools in Action! The depth of knowledge provided throughout these concepts is fantastic and adds immense value to the learning experience. Regarding Project Section 11, because it covers several powerful components at once (Mailpit, LLMs, MCP Client, and MCP Server), it can feel a bit overwhelming to digest in one continuous flow. To help make the learning curve smoother and clearer, it might be helpful to break this section into smaller, modular steps:

This was an amazing course with very clear explanations of AI concepts and plenty of practical demonstrations that made the topics easy to understand and apply. The instructor is extremely knowledgeable and explains complex ideas in a simple, engaging way. I especially appreciated the hands-on examples, which helped reinforce the concepts and provided real-world context. The course is well-structured, informative, and valuable for anyone looking to deepen their understanding of AI. I've taken several of this instructor's other courses as well, and they consistently deliver high-quality content. Highly recommended!

Excellent course! As a Java and Spring Boot developer, I found it to be a very practical and well-structured introduction to Spring AI. The content is clear, hands-on, and focused on real-world use cases. I particularly appreciated the sections on prompt engineering, Retrieval-Augmented Generation (RAG), integrations with OpenAI and AWS Bedrock, and the coverage of monitoring and observability. The explanations are easy to follow, and the course provides a solid foundation for anyone looking to transition from traditional Java development into AI-powered applications. I highly recommend this course to Java developers who want to quickly gain practical experience with Spring AI and modern AI integration patterns.