NEOPOLIS AKADEMY
Developing AI Systems with the OpenAI API
Practical intermediate course to build AI systems with the OpenAI API: designing calls, context management, prompt security and integrating into sequential applications.
View this course on Akademy ↗Enrolment and practical details are available on Neopolis Akademy.
What you will explore
Explains typical integration architecture with the API: context management, tokenization, temperature control and system instructions.
Details best practices for prompt construction and output handling to obtain robust, predictable responses.
Covers ingestion of local media and organizing sequential interactions for application workflows.
Presents methods to supervise and constrain undesirable behaviors while not claiming any official certification from the API provider.
STEP BY STEP
Course programme
01Developing AI Systems with the OpenAI API
Practical guide to building applications with the OpenAI API: structuring requests, formatting model outputs as JSON, error handling and function calls. Also covers moderation and mitigations to reduce risks when deploying models to production.
Explains how to design end-to-end application flows with well-formed API calls and how to parse model responses, including formatting outputs as JSON for downstream consumption.
Covers function-calling patterns to extract structured data from text and how to use the tools parameter to orchestrate external actions.
Reviews production best practices: moderation strategies, prompt‑injection mitigations and adding safety sliders or controls to constrain model behavior.
Explore this module on Akademy ↗Programme source: Neopolis Akademy. Original course page