
Course
Create with OpenAI
9 lessons
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A beginner-to-advanced tour of OpenAI's stack: GPT-5.5 modes, Memory + Projects, Canvas + Tasks, GPT Image 2, the Realtime voice trio, Code Interpreter, Codex on CLI, Cloud and Mobile, and AgentKit — plus the limits, watermarking and refusal layer every shipper must own. Three modules, nine lessons.
What you’ll learn
1.Foundations - ChatGPT power user
Pick the right GPT-5.5 mode, scope context with Memory vs Projects, and stitch Canvas + Tasks into a continuous daily flow.
3 lessons
- GPT-5.5 modes: Instant, Thinking, Pro
- Memory + Projects: cross-session continuity
- Canvas + Tasks: editing and scheduled prompts
2.Asset Studio - images, voice, data
Craft images with GPT Image 2 (ChatGPT Images 2.0), build voice agents with the Realtime trio, and analyse data with Code Interpreter + Canvas.
3 lessons
- GPT Image 2: prompt craft and edit-in-place
- Realtime Voice: Realtime-2, Translate, Whisper
- Code Interpreter + Canvas: data work without the data team
3.Pro pipeline - Codex, Agents, ethics
Codex across CLI / Cloud / Mobile, the AgentKit platform (Builder, ChatKit, Connector Registry), and the limits / watermarking / refusal layer every shipper must own.
3 lessons
- Codex everywhere: CLI, Cloud, Mobile
- ChatGPT Agent + AgentKit: build inside ChatGPT
- Limits, watermarking, brief refusal
How this course works
This is an interactive course, not a video playlist. Lessons mix short explanations with hands-on activities — quizzes, drag-and-drop exercises, branching scenarios and step-ordering challenges — and you have to complete each activity before moving on, so you practise rather than skim. Your progress is saved as you go, so you can stop after any lesson and pick up where you left off.
Topics covered
- openai
- chatgpt
- gpt-5-5
- codex
- agentkit
- gpt-image-2
- realtime-voice
- canvas
- tasks
- create-with-openai