AI FOR WORKCourse outline

AI FOR WORK

AI at Work: Foundations

36 lessons on which AI tool to pick for each kind of work, and how to get started

This course answers two questions: which category of tool a task calls for, and how to get running with it fastest. Four parts cover tool choice and access, prompts and system prompts as the shared foundation, three kinds of content production (images, video, voice), and the tools behind your daily information flow — AI search, guided learning, translation, knowledge bases, and meeting assistants. Every category starts with a selection call (what each tool is good at, what it costs, whether it works from China) and then the shortest path to a first result. ChatGPT, Claude, and Gemini features live in their own product courses.

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Course content

PART ONE

Part One: Before You Start — Choosing, Paying, Access

Clear the barriers first. This part gives you a map of the tool landscape: which category of tool solves which problem, when a new account is actually worth adding, what is worth paying for, and the sign-up, payment, and verification pitfalls that block users in China. By the end you will know which later chapters are yours.

PART TWO

Part Two: Prompts and System Prompts

This part is about saying the right thing — the foundation every tool shares. It starts from what a prompt is, four practical techniques, use cases and limits, and format control, then takes apart two real production prompts line by line. The second half covers system prompts: locking in the context you keep repeating, a hands-on guide for four platforms, and three ready-to-use examples. These twelve chapters share a single source with the Prompt Engineering course.

PART THREE

Part Three: Producing Content — Images, Video, Voice

Three kinds of non-text output, each starting with tool choice and moving to hands-on use. Images: what each of the six major tools is good at, how the decision tree runs, the four-element prompt framework, and platform-by-platform steps. Video: the capability limits and cost control of the three main tools, plus shot language and negative prompts. Voice: speech-to-text, voiceover, cloning your own voice, and generating music.

PART FOUR

Part Four: Information, Learning, Collaboration

Four tool categories for your daily information flow. AI search engines, plus a method for getting through an unfamiliar field in half an hour; guided learning that turns AI into a tutor; terminology consistency and long-document chunking for cross-language work; turning scattered material into a personal knowledge base; and meeting assistants — start from where you meet, then pick the tool.

Learning outcome

By the end you will be able to tell which category of tool a task calls for, pick the right one within that category, and get it running by the shortest path — and your prompt and system-prompt skills will carry over to any product you switch to.

  • Judge which category of tool a task calls for, and what is worth paying for early on.
  • Avoid the sign-up, payment, and verification pitfalls that block users in China.
  • Read and adapt a high-quality prompt, and turn repeated context into a system prompt.
  • Pick the right tool for images, video, and voice, and write prompts that actually work.
  • Use AI search, guided learning, and cross-sectional analysis to get through an unfamiliar field fast.
  • Build a personal knowledge base and close the loop from recording to notes and action items.
36 lessons in English · four parts · no coding requiredCourses