It's okay even if you know nothing about AI.
Starting from LLM concepts, you will complete a commercial-grade AI backend using Spring just as you always have, without the need to learn Python.
"Shouldn't we introduce AI to our service too?", "Does anyone have experience integrating AI features?" —
Companies are looking for backend developers who know how to work with AI. Check out the actual job postings!
These are the four most common walls that Spring backend developers encounter when facing AI.
No need to learn a new language. Using the same Spring you've always used, add Chatbots, RAG, and MCP on top of your business logic to complete a production-level AI backend.
With Spring AI 1.0 GA, you can maintain your existing Bean, DI, and architectural patterns. There is no need to learn a new, unfamiliar Python stack.
Step-by-step from what Prompt, Token, Embedding, and RAG are. We start from zero prior knowledge of AI.
Not a toy project, but real-world practice. We cover stable, scalable architectures that can be directly ported to corporate services.
You will learn how LLM, Vector DB, and RAG/MCP work together around a Spring server by building the entire flow yourself.
User → Spring AI → LLM, and a practical architecture expanding to Vector DB-based RAG and MCP
Beyond simple external LLM API calls, you will build a chatbot that is perfectly integrated into the Spring ecosystem.
Go beyond the limitations of hallucinations and build a RAG system based on your own data by integrating with an Elasticsearch vector store.
Go beyond simple text generation and experience MCP agents that actively interact with external APIs and systems.
Complete an AI backend architecture that integrates naturally with existing Spring Boot business logic.
We are pre-releasing a portion of the actual lecture video. Check out the explanation style and the lecture atmosphere beforehand.
Guide to Lecture Materials, Practice Code, and 1:1 Q&A Channels
Grasping the concepts of Prompt, Token, Context Window, Embedding, Fine Tuning, and RAG
Why Spring AI · Spring AI vs LangChain · Chat Model · VectorStore
Understanding the core component structure required for practical application
Design and implement a functional chat API yourself
Completion of a practical chatbot with conversation flow
Vector DB Concepts and Integration — The Foundation of RAG
Building a RAG chatbot based on our data using Elasticsearch Vector Store
The core technique that enables LLMs to call external functions
Developing MCP-based agents that interact with external systems
Final summary and next steps for learning
These are reviews left by actual students. Listen to the voices of those with the same goals as you.
"If you are a developer using Spring at work, I highly recommend taking this course. To be honest, I was feeling quite overwhelmed lately because my company keeps telling me to work with AI... I've been waiting for a course like this, and it's truly a godsend. I finished the entire course over the weekend. Even for someone like me who knows nothing about AI, it was very easy to follow. MCP is amazing."
I started taking this course because of pressure from my company to implement AI, and the content is truly substantial and great. Sini's lectures are ones you can always trust, thank you.
I've been listening to your lectures since the batch sessions and enjoyed them so much that I'm following the whole series, and this particular lecture is truly great. I'm always learning a lot because you explain everything so clearly. I had a lot of concerns about implementing AI into my recent projects, so this was perfect.
The instructor's diction is excellent, and everything is easy to understand. I don't think I could have done this if I had studied alone. They pinpoint the key concepts well, and since it includes project practice, it was a truly fruitful experience. Please continue to release more lectures in the future...
The videos are short, making it easy to focus, and the progression from basic concepts to explanations and then practice makes it easy to understand. I'm currently on lesson 6, and I'm following along smoothly without getting stuck.
The lecture was structured to be short and as easy as possible, so I was able to complete the entire course in just one day from start to finish! It was a great help in understanding the concepts through the lecture. Thank you.
Hello! This is Sini from JSCODE.
It feels like only yesterday that I was dragged by a friend to attend a major class during my college days,
It's already been nearly 10 years since I first started developing.
At first, I wanted to make a positive impact on the world through the programs I created.
But as time passed, I gained one firm realization.
'Wouldn't raising one truly skilled developer have a much greater impact on the world than building a service myself?'
Because if the developers I taught create wonderful services in their respective positions, that positive influence will grow exponentially.
With that single mindset, I have trained over 200 developers in the field at boot camps for the past 5 years. (Produced successful candidates for LINE, Kakao, and Kurly ☺️)
Watching my students grow as they enter the industry, I feel the power and fulfillment of education every day.
Now, I am looking to meet you beyond the offline classroom, in the wider online world.
I want to unreservedly share the skills and know-how I have accumulated in the field,
I want to help you grow into a 'capable developer' who creates further value.
This course, which I have prepared with great care,
I sincerely hope this brings a pleasant change to your life as a developer! 🙌
"So that even Spring developers new to AI can follow along to the end without getting stuck."
Other than that, no prior knowledge of AI is required at all. We will learn everything from what an LLM is together within the lecture.
We have organized a roadmap of what to study and in what order, aimed at those seeking employment or a career change as a backend developer. If you follow the roadmap below, you won't get lost.
A glance at the proven backend learning sequence that has helped even non-major students successfully land jobs and change careers.
로드맵 보러가기
A must-have learning course for backend developers aiming to get a job at IT service companies.
로드맵 보러가기From zero to AI, covering chatbots, RAG, and MCP. The surest way to become the first developer to implement AI in your company.
수강 신청하기Spring AI for Immediate Practical Application: Implementing Chatbots, RAG, and MCP into Spring Services — JSCODE Sini
I highly recommend this course to any developers using Spring at work. To be honest, I've been feeling quite overwhelmed lately because my company keeps telling me to work with AI... I've been waiting for a course like this, and it’s truly a lifesaver. I finished the whole thing over the weekend. Even for someone like me who knows nothing about AI, it was very easy to follow. MCP is amazing lol.
I've been following your series since the Batch lecture because I liked it so much, and this lecture is truly great. I'm always enjoying them because you explain everything so clearly. I've been worried about implementing AI into my projects lately, so this is absolutely perfect.
The instructor's diction is excellent, and everything is easy to understand. I don't think I could have done this if I had studied on my own. The key points were well-highlighted, and since it included hands-on project practice, it was a truly productive experience. Please continue to release more lectures in the future...
It was very helpful for learning the concepts of AI.
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