Java-first AI training
Unlike generic AI courses, every concept is taught through Java and Spring, so you apply skills directly to your existing stack.
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ARTIFICIAL INTELLIGENCE · INTERMEDIATE LEVEL
AI for Java Developers: Building Intelligent Applications
Learn to integrate machine learning, LLMs, and intelligent automation into real-world Java applications through hands-on projects using Spring AI, ONNX, and modern AI APIs.
Intermediate12 weeks48 hoursOnline
Your selected course will be carried into Ingress Portal.
COURSE HIGHLIGHTS
What makes this program worth your time.
Hands-on labs every week
Each module includes practical exercises building real AI features, from LLM calls to RAG pipelines.
Capstone project
Finish the program with a deployable AI-enhanced Java application you can showcase to employers or clients.
YOUR LEVEL
BeginnerIntermediateAdvancedExpert
WHAT YOU WILL BE ABLE TO DO
The skills you will have by the end of this course.
- Integrate LLM-based APIs into Java and Spring Boot applications
- Build and deploy AI-powered microservices using Spring AI
- Run local and cloud-based model inference from the JVM
- Design and implement retrieval-augmented generation (RAG) pipelines
- Use vector databases to power semantic search features
- Apply prompt engineering techniques within Java-based workflows
- Monitor, secure, and optimize AI features in production environments
- Deliver a complete AI-enhanced Java capstone project
CONDENSED SYLLABUS
See the structure without reading a textbook.
Modules stay collapsed for quick scanning. Open any module to inspect its topics.
01Introduction to AI for Backend Developers4 lessons+
Overview of AI, ML, and LLMs for engineers
Where AI fits into modern Java architectures
AI terminology and core concepts
Setting up the Java + AI development environment
02Working with LLM APIs in Java4 lessons+
Calling OpenAI and Azure OpenAI APIs from Java
Handling streaming responses and tokens
Error handling, retries, and rate limits
Building a simple AI chatbot service
03Spring AI Fundamentals4 lessons+
Introduction to the Spring AI framework
Configuring AI clients and models
Structured prompts and output parsing
Building AI-powered REST endpoints
04Prompt Engineering for Developers4 lessons+
Principles of effective prompt design
Few-shot and chain-of-thought prompting
Managing context windows and token limits
Testing and evaluating prompt quality
05Local and On-Device Inference4 lessons+
Introduction to ONNX Runtime for Java
Loading and running pre-trained models
Performance considerations on the JVM
Choosing between cloud and local inference
06Retrieval-Augmented Generation (RAG)4 lessons+
Concepts of embeddings and vector search
Integrating vector databases (e.g., Pinecone, Weaviate)
Building a RAG pipeline in Spring Boot
Improving accuracy with chunking strategies
07AI-Powered Microservices Architecture4 lessons+
Designing scalable AI microservices
Caching and reducing API costs
Asynchronous processing for AI workloads
Combining multiple AI services in one system
08Security, Monitoring, and Responsible AI4 lessons+
Securing API keys and sensitive data
Logging and monitoring AI usage
Handling hallucinations and output validation
Cost tracking and budget controls
09Capstone Project4 lessons+
Defining the capstone AI application
Implementing core AI features end-to-end
Testing, deployment, and demo preparation
Final project presentation and review
UPCOMING GROUPS
Choose the cohort you can actually attend.
Only current, open groups are shown.
STARTS
To be announced
Online- Schedule
- To be announced
- Format
- Online
- Duration
- 12 weeks · 48 hours
- Language
- Confirm with advisor
“The program helped me connect individual skills into the way real teams design, build and deliver software.”
See real graduate stories from the Ingress community.
Explore graduate resultsAPPLICATION THROUGH INGRESS PORTAL
Your course stays selected while you create your account.
We use one Portal account for applications, assessments and future learning progress. You will not need to email your details or select the training again.
Questions first? Talk to an advisor- 01
Create or sign in to your Portal accountYour contact details stay connected to one student profile.
- 02
Confirm your application detailsAI for Java Developers: Building Intelligent Applications are preselected.
- 03
Submit your applicationThe admissions team receives it immediately and can follow up from the Portal.
SELECTED TRAININGAI for Java Developers: Building Intelligent ApplicationsOnline
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