SSkilvy
RULog inStart free

Sending a prompt is easy — building a product is hard

You already know the basic LLM API call: sent a prompt, got text. But between "works in a notebook" and "reliably works in a product for thousands of users" there is a gulf. This course is about what fills this gulf: advanced request techniques, structured output, tool calling, and — most importantly — production reliability.

What distinguishes advanced LLM work

  • Response control: parameters, system prompts, streaming.
  • Structured output: getting data in the needed format (JSON) rather than free text.
  • Tools: the LLM calls your functions, works with external data.
  • Reliability: error handling, limits, cost, security — what production needs.

A base is assumed

What do I need to know before this course?
The course is advanced, so a base is assumed: 1) Programming basics (Python or another language) — you understand variables, functions, loops, working with data. 2) A basic LLM API call — you have at least once sent a prompt to a model via code and got a response, you understand the concept of an API, access keys. 3) Understanding what an LLM and a prompt are — how to phrase requests. If you lack this — start with the Python-for-AI and AI-basics courses. Here we go further: not "how to call a model" but "how to build a reliable product on an LLM". We will cover response control, structured output for code integration, tool calling (so the LLM works with your functions and data) and production reliability (errors, cost, security, quality). This is what turns a demo into a real product. Ready — lets go.

The goal: production quality

The key idea of the course is the transition from demo to product. A demo forgives errors, unpredictable output, failures. A real product does not: users expect reliability, the output must integrate with code, errors must be handled, cost controlled, security maintained. Advanced LLM-API work is the engineering discipline of building reliable systems on a technology that is unpredictable by nature.

Course rule: the basic LLM call is the start; a product requires structure, tools and reliability. We learn to turn a demo into production quality.
A simple callAdvanced techniquesReliable production LLM API From toy to product
Advanced LLM-API work is about structure, tools and production reliability.

🧠 How does advanced LLM-API work differ from basic?

← BackNext →