Classify an AI task by product surface, account or workspace, data boundary, current availability, execution owner, and human decision owner before work begins.
OpenAI 101: AI Foundations is an AcademAI beginner course in the OpenAI Foundations path for learners who want practical AI capability instead of passive tool exposure. It belongs to the ChatGPT Training topic hub. The course includes 5 modules and an estimated workload of 2-3 hours. Start with the free AI Fluency foundation course before checkout; paid membership unlocks full access to this course and the broader catalog. The course is designed for New and returning AI learners who want to choose between ChatGPT, Codex, and the OpenAI API without relying on a release catalog.. Learners should expect prerequisites such as no advanced prerequisite beyond basic comfort using web-based AI tools. Core outcomes include Match a task shape to the ChatGPT, Codex, or OpenAI API product surface.; Check the current account or workspace, data boundary, and source requirements before use.; Name the execution owner, human review owner, and evidence needed before acting on AI output.. AcademAI course material is source-informed by public provider documentation where relevant, but the lessons, exercises, scenario mastery tests, and completion certificates are independently written by AcademAI and are not official provider certifications.
New and returning AI learners who want to choose between ChatGPT, Codex, and the OpenAI API without relying on a release catalog.
Source-informed by OpenAI Academy's public positioning around AI fundamentals, ChatGPT, Codex, and building with AI; lessons are AcademAI-original.
AcademAI certificates show independent course completion and are not official OpenAI certifications.
This course is part of ChatGPT Training, AcademAI's crawlable guide to the audience, outcomes, prerequisites, source policy, and recommended course sequence for this topic.
Choose ChatGPT, Codex, the API, or no AI yet from the work itself
Confirm the current account, workspace, plan, region, and policy before use
Minimize sensitive data and define the approved evidence set
Separate what the product can do from what a human must inspect
Name the reviewer, approval point, and evidence required for use
After completing the modules, pass a realistic scenario test to qualify for an AcademAI completion certificate.
Take scenario test