This is a Java course focused on building AI-powered applications by working directly with APIs. Instead of relying on tools like LangChain that abstract away the internals, we go straight to the API level. By the end, when you do use frameworks, you'll understand exactly what's happening under the hood.
What this course IS:
- API-first approach to building AI applications
- 80% hands-on practice with real-world tasks, no "Hello World" exercises
- A challenging journey that mirrors actual AI application development work
What this course is NOT:
- Not an ML course: we won't dive into transformers, training, or how LLMs work internally
- Not a prompt engineering course: we expect you to already know how to write prompts and understand that different models behave differently with the same input
⚠️ This is not an easy course. You will be building the same things professional AI developers build daily.
💡 What you get from this course depends on you. We designed it as a practical reference you can return to and reuse in your daily work.
🤝 Need help along the way? Join the DIALX Community on Discord — we have dedicated course support channels. After joining, add the role shown below to unlock them.
🚨 Pay attention that in the course we have repetitive tasks (to create agent, clients, etc.) — it's done intentionally!
main- tasks with descriptionsmain-detailed- tasks with super detailed descriptionscompleted- completed tasks, useful when stuck
- Java 25+
- Postman (for testing API calls)
- Docker with Docker Compose
- API Keys to work with different models (you will need to pay ~5-10$ credits):
- OpenAI API Key (we will be primarily working with OpenAI models). Generate it here and set up as environment variable with name
OPENAI_API_KEY - Anthropic API Key Generate it here and set up as environment variable with name
ANTHROPIC_API_KEY - Gemini API Key Generate it here and set up as environment variable with name
GEMINI_API_KEY
- OpenAI API Key (we will be primarily working with OpenAI models). Generate it here and set up as environment variable with name