Java is not going anywhere: the banking, insurance, telecom and logistics systems you maintain will get AI components, they will not be rewritten. The ecosystem has lined up, with Spring AI, LangChain4j, official OpenAI and Anthropic SDKs for Java and an official Java SDK for the Model Context Protocol. None of the courses here is written in Java: their examples are mostly Python. They are on this page because what they teach, how a model behaves in production and how you design around it, does not depend on the language.
A Java developer has an advantage that AI prototypes usually lack: the discipline of large systems. Transactions, observability, resilience, security and governance are what decides whether a project gets past the pilot. Add an understanding of language models, RAG and agents, and you are the person who can take AI into the systems that matter.
The risk is treating the model as one more REST service. It is not: the answer is non-deterministic, cost is per token, latency is measured in seconds and quality has to be measured with new metrics. The courses below are chosen to give you that mental model and the operating practices, not to turn you into a Python developer.
Where the model sits in your architecture, how you handle timeouts and retries, how you isolate cost per client, how you log prompts without exposing personal data: decisions you make, not the framework.
Documents, tickets, contracts and relational databases become context for models. Chunking, embeddings, document-level permissions and retrieval evaluation are new requirements for backend teams.
Your services, order lookup, invoicing, stock queries, become tools for agents and assistants, with authentication and least-privilege permissions. The protocol has an official Java SDK.
Coding agents work on large Java codebases too. The difference is made by the context you give them, deterministic hooks and verification wired into CI.
Each of these changes has at least one course in the track below. See the track
When you have gone through all the lessons of a course and have an average of at least 70% on its quizzes, you issue from your account, after confirming the conditions, a Certificate of Completion with a unique number and a public verification link. It is not issued automatically and it comes at no extra cost, with a plan or with single-course access.
A private attestation of course completion. It is NOT a diploma or a state-recognised qualification under Romanian Laws 198/2023, 199/2023 or Government Ordinance 129/2000; employers may take it into account at their own discretion.
In the order in which they matter. If you already have experience with model APIs, skip the foundations. For each course, the reason it matters to someone who works with Java.
Language-independent on purpose: the mental model of LLMs, prompting for code and for systems, and the integration patterns of a production service. The code examples are mostly in Python.
AI and LLM fundamentals, working with APIs, RAG and agents at concept level: the frame you need before any architecture decision.
Key modules: Machine Learning Essentials · Large Language Models and Modern Architectures · Working with LLM APIs and Integrations · AI Tools for Developers
Read the free preview Course details This course only: €99/monthPrompt engineering for code and for agents, plus prompt security and guardrails: instructions that are verifiable and resist injection, whatever language calls the model.
Key modules: Advanced Prompting Techniques · Multi-Modal Prompt Engineering · Prompt Engineering for AI Agents · Prompt Engineering for Code
Read the free preview Course details This course only: €99/monthGateway, queue-based and sidecar integration patterns, exponential backoff, circuit breakers, graceful degradation, multi-provider fallback and tracing with OpenTelemetry: vocabulary a Java backend developer already owns, applied to a model. You implement it afterwards with Spring AI or the Java SDKs.
Key modules: Streaming and Error Handling · Function Calling and Tool Use · Model Context Protocol (MCP) · Multi-Model Orchestration and Optimization
Read the free preview Course details This course only: €99/monthThe AI components you will design into existing applications, and the practices that keep them in production. What transfers is the architecture; the examples stay in Python.
Complete RAG pipelines, advanced architectures, production scaling and systematic evaluation: what an assistant over enterprise documents needs, independent of the language of the service around it.
Key modules: Implementing the RAG Pipeline · Embedding Models and Document Processing · Advanced RAG · Advanced RAG Architectures
Read the free preview Course details This course only: €99/monthAgent architecture, design patterns for production, guardrails, observability and deployment strategies. The frameworks module also presents Semantic Kernel, which it describes as an SDK for .NET, Python and Java.
Key modules: Memory, State and Advanced Reasoning · Frameworks and SDKs for AI Agents · Model Context Protocol (MCP) and Interoperability · Workflow Automation with AI
Read the free preview Course details This course only: €99/monthProtocol fundamentals, transports, OAuth 2.1 authentication, enterprise patterns and security. The example servers are in Python and TypeScript; the protocol is language-agnostic, and the same design carries to the Java SDK.
Key modules: Building MCP Servers with Python · Building MCP Servers with TypeScript · Transport, Authentication and Configuration · Enterprise Patterns and Production Architectures
Read the free preview Course details This course only: €99/monthGolden datasets, LLM-as-a-judge, RAG and agent evals and regression tests in CI/CD: answer quality becomes a release criterion, like any other test suite.
Key modules: Classic Metrics and Why They Fail on Open-Ended Text · LLM-as-a-Judge: Design, Bias and Calibration · Building Evaluation Datasets · The Evaluation Tooling Landscape
Read the free preview Course details This course only: €99/monthThe OWASP Top 10 for LLM Applications, prompt injection, guardrails, excessive agency and data leakage: the requirements you will get from security and compliance.
Key modules: Prompt Injection: The Defining Threat · Insecure Output Handling and Downstream Exploits · Guardrails: Input and Output Filtering · Securing RAG and Agents: Excessive Agency
Read the free preview Course details This course only: €99/monthAgentic coding on large codebases, with the git workflow, hooks, CI and least-privilege permissions. None of it is tied to a language, so it applies to the Java repositories you maintain.
Key modules: Multi-File and Large Codebases: Plan, Edit, Review and Context Management · The Full Git Workflow: Branches, Commits, Conflicts, Code Review and PRs · Headless Mode (claude -p) and Non-Interactive Automation · Subagents and Agent Teams: Orchestration, Delegation and Controlled Parallelization
Read the free preview Course details This course only: €99/monthThe course in the track that ends with a capstone project. The list comes from the real modules of the courses, not from a brochure.
What already exists, so that you do not start from zero. The courses in the track teach you what to build with it.
These are the skills you practise in the courses of the track; results depend on the time you invest and on your previous experience.
Start the Java trackCode examples, architectures and case studies, and in some courses a capstone project at the end. Not summaries of documentation, but structured material that you go through in order, at your own pace.
You ask in the context of the lesson, by typing or by voice, and get an explanation of the concept you are on. Every lesson has its quiz: about 355 questions per course on average. The professor is an AI system, not a human teacher, included in every plan with a fair-use limit.
Agentic coding, MCP, RAG, agents, evals, LLM security, fine-tuning, AIOps, computer vision and Edge AI are whole courses in the catalog, not closing chapters.
A preview of the first lesson of every course can be read without an account. Then you choose a subscription by number of courses, from €99 a month for one course to €319 a month for 10 courses, VAT included; you pick the courses and can change them at every renewal. You can stop the renewal anytime from your account; access stays until the end of the period already paid for.
You pick them, with the AI Professor included, and can change them at every renewal. The whole track fits in a subscription of 10 courses (€319 a month, VAT included); with the full catalog (€499) you have every course.
Pay for the tier, then pick the courses in your account. You can change them at every renewal.
€99 a course
€99a month €990a year, 12 months of access
under €67 a course
€199a month €1,990a year, 12 months of access
under €52 a course
€259a month €2,590a year, 12 months of access
under €32 a course
€319a month €3,190a year, 12 months of access
under €24 a course
€359a month €3,590a year, 12 months of access
under €16 a course
€399a month €3,990a year, 12 months of access
under €10 a course, across all 50
€499a month €4,990a year, 12 months of access
Total prices, VAT included. Move up anytime and pay only the difference for the days left; move down at renewal. Renews automatically, you stop it anytime from your account; your progress and certificates stay. Digital content with immediate access: see the withdrawal terms.
A subscription by number of courses: 1, 3, 5, 10, 15 or 25 courses a month, or the full catalog. You pick them and can change them at every renewal. Compare all the subscriptions · The team library, priced per member · Give a month of access as a gift
The same skills, seen from each ecosystem. The languages close to Java are highlighted.
No. The code examples are mostly in Python, and the MCP course also has a module in TypeScript. The courses are chosen here for the concepts, architecture and production practices that you then apply with Spring AI, LangChain4j or the official Java SDKs. That is also why this track has two stages instead of three: it lists only the courses whose substance does not depend on the language.
Not in order to change languages. It is worth being able to read Python, so you can follow the examples, the documentation and the evaluation tools, but enterprise Java systems will get their AI components in Java. Your value is in architecture, integration and operations, not in rewriting applications.
Yes, although it is not on this track: the course on fine-tuning open-source LLMs covers open-model licenses, quantization and self-hosting with Ollama, vLLM and TGI, and you can pick it in the same subscription. The AI security course covers data protection, PII and leakage.
All the courses recommended here are IT courses. You pick them in a subscription by number of courses: usually 3, 5 or 10 courses a month for one language and stack; there are also 15 and 25 courses, a single course and the full catalog. You pick the courses and can change them at every renewal. The subscription renews automatically, and you can stop the renewal anytime from your account. Every price, VAT included, is shown below and on the pricing page. Every course has a free preview of its first lesson, readable without an account.
9 courses, ~227 hours, all in a subscription of 10 courses: €319 per month, VAT included. You can change them at every renewal; the AI Professor is built into every lesson.
The courses are for educational purposes only: they are not professional advice, and completing them is not a diploma or a state-recognised qualification. The names of languages, tools and products belong to their owners and are mentioned for identification only. Details in the Terms & Conditions.
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