
Module 9 Lesson 1: Using ChatGPT via API
Move beyond the chat box. Learn the fundamentals of the OpenAI API, model selection, and how to build your own AI-powered apps.
17 articles

Move beyond the chat box. Learn the fundamentals of the OpenAI API, model selection, and how to build your own AI-powered apps.

Building the shield yourself. Learn how to write custom Python-based guardrails to enforce your organization's unique security and business policies.
End the 'Onboarding' nightmare. Learn how to use Docker to ensure every developer on your team has the exact same versions of Node, Python, and Databases from Day 1.
Master the local dev stack. Learn how to use Docker Compose to manage dependencies like databases and caches alongside your application code.
The final connection. Using the ADAPTER command in a Modelfile to bring your training to life.
Going beyond the terminal. Understanding the Ollama REST API and how to talk to your models via HTTP.
Words as they happen. Why streaming is the secret to a fast-feeling AI application.
The blueprint of a model. Understanding how to configure your AI using simple text files.
Mastering the commands. A deep dive into FROM, SYSTEM, PARAMETER, and ADAPTER.
The power of instruction. How to write effective system prompts that transform your model's personality.
The universal bridge. How to talk to Ollama from any programming language using HTTP requests.
Words as they happen. How to handle NDJSON streams in your application for a professional AI feel.
The AI Engineer's standard. Using the official Ollama Python library to build smart scripts.
AI in the browser and the server. Building with the Ollama JavaScript library.
Building complex AI workflows. connecting Ollama to the world's most popular AI orchestration framework.
Giving the AI hands. How to let local models run functions, check the weather, or query a database.
AI that speaks code. How to force Ollama to output valid JSON every single time.