AI Creation and Tools Learning Path: Codex and OpenClaw
How to learn AI creation and tools: use Codex to turn open-source projects and real needs into live apps, and run OpenClaw AI agents on a server.
Related courses
Overview
What this track includes
The AI creation and tools track covers two courses, AI Creative Practice and AI Agents in Practice. Pick the one that matches your goal, or take both.
- AI Creative Practice: use AI tools such as Codex to turn open-source projects and real needs into work you can publish
- AI Agents in Practice: built around OpenClaw, deploy an AI agent on a server and connect it to the platforms you use
AI Creative Practice
Turning ideas into live projects with Codex
The lessons follow real projects and show how AI tools such as Codex take them from remixing and building through to deployment.
- Remix an open-source project: turn an open-source browser game into an English-learning game and deploy it automatically with GitHub and Cloudflare Pages
- Capture what you have learned: distill an existing project's workflow, architecture, and design rules into a reusable Agent Skill
- Start from a real need: plan and build a currency converter web app with Codex, test it, and deploy it to Cloudflare Workers
- A good fit if you want to use AI tools to turn your own ideas or real needs into something you can publish
- Preview lesson: Remixing an open-source puzzle game
- Course page for AI Creative Practice: outline and preview lessons
AI Agents in Practice
Deploying and using AI agents
Built around OpenClaw: deploy an AI agent on a server, connect multiple models and chat platforms, and manage it and its model APIs remotely.
- Deploy and initialize OpenClaw on a VPS and connect multiple models
- Connect the agent to chat platforms such as Feishu and QQ
- Reach the admin dashboard remotely and manage the model APIs the agent uses
- Two separate parts round it out: customizing the Codex interface (a skin for Codex, not agent deployment) and a first look at DeepSeek Harness (basic AI coding)
- A good fit if you want to run an AI agent on your own server and use it from the chat apps you already use
- Preview lessons
- Course page for AI Agents in Practice: outline and preview lessons
Choosing a course
Which to take, and in what order
The two courses stand on their own. Watch their preview lessons first, then decide based on your goal.
- To turn an idea or a real need into a live app, we suggest starting with AI Creative Practice
- To run an AI agent on your own server, we suggest starting with AI Agents in Practice
- Both courses involve deploying what you build; if web development itself is new to you, you may want a full-stack foundation first
- The core course, AI Web Full-Stack Programming, teaches web development end to end. Read the AI Web Full-Stack Programming Course Overview first
Further reading
AI Web Full-Stack Programming Course OverviewExplore the course content, teaching approach, and learning path to plan your study.Learn WordPress Site Building: Self-Hosting to Member SitesWhat to learn for a WordPress site, in order: shared hosting or VPS setup, SMTP and backups, Yoast SEO and caching, Elementor pages, Stripe memberships.
