Comprehensive, multi-angle, ad-free, no-tool-selling—a step-by-step guide to using AI tools, starting from absolute zero.

Written from the perspective of a neighbor who stumbled through it—AI+ tips and methods born from real mistakes.

What's a 0-to-1 course for ordinary people? Who are ordinary people? Office workers, parents, hobby learners, students, AI beginners, bosses, executives—anyone who doesn't want to spend extra, doesn't code, doesn't need to understand code, and just wants to think and spend time to get high-quality results. No complexity, no downloading a dozen tools or registering mini-programs, and no paying for every single question.

What's 0-to-1? Starting from zero basis, zero awareness, zero habits, zero tech, zero code. The 1 means learning to use them, get results, judge good from bad, build awareness and habits, and turn existing tools into your own weapons. You learn not just AI-tool use, but a mindset that helps in work and life beyond the tools.

After the 0-to-1, you can move on to building-block-style workflows, JSON code, cutting token costs, making AI apps and business deployment. But your neighbor advises: if you're one of those “ordinary people,” master this course first.

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• Ordinary users wanting AI to boost efficiency—workers, parents, hobbyists, students
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• AI beginners who don't want to code or pay extra
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• Bosses who want to enlighten staff cheaply; execs who need one person to cover a department
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• People wanting to build AI mindset and turn tools into their own weapons
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• Advanced users wanting to master prompt engineering & agent building
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• Understand AIGC core concepts, the history of the two AI giants, and how tech drives tool development
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• Grasp how LLMs work; tell apart reasoning vs instruction models
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• Learn to use AI tools correctly from zero and build your own AI roadmap
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• Systematically master prompt engineering: chat, structured prompts, super-prompts
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• Master precision prompt techniques: locking, decomposition, image-breakdown, reframing & reverse-teaching
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• Advanced uses: web search, super-structured prompts, reasoning prompts
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• Spot AI-tool misuse and avoid common pitfalls
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• Learn agent basics and build a simple agent independently
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This course stands in the ordinary user's shoes—no tools sold, no ads—and breaks AI tools from concept to hands-on into followable steps. It starts with AIGC concepts and AI history to build correct AI awareness and personal planning, then moves into LLM fundamentals and tool onboarding. The core is prompt engineering: from basic chat and structured to super-prompts, then precision techniques like locking, decomposition, reframing and reverse-teaching, ending with agent building. You'll not only operate AI tools daily, but form the habit of judging output quality and refining prompts—transferring AI ability to work, study and life.

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• 1.Preface
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• 2.Instructor Intro
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• 3.Instructor's AI Journey & Collaboration Cases
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• 4.Course Outline & Case Inspirations
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• 5.Case Warm-Up
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• 6.Interaction & Disclaimer
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• 7.Key Concepts in AIGC
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• 8.History of the Two AI Giants
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• 9.How AI Tech Drives AI-Tool Development
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• 10.Understand the Landscape & Plan Yourself
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• 11.A Sustainable AI Roadmap
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• 12.How LLMs Work at the Core
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• 13.Reasoning vs Instruction Models: Differences
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• 14.How to Start Using AI Tools
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• 15.Prompt Engineering Prologue
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• 16.What Is Prompt Engineering
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• 17.Prompts — Chat
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• 18.Prompts — Using Structured Prompts
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• 19.Prompts — Using Super-Prompts
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• 20.“You” & “Me” in Prompts
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• 21.Precision Techniques — Prologue
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• 22.Precision — The Locking Technique
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• 23.Precision — The Decomposition Technique
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• 24.Precision — Decomposition for Image Gen
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• 25.Puns from Decomposition
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• 26.Precision — Reframing & Reverse-Teaching
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• 27.Quick Tip — Web Search
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• 28.AI-Tool Misconceptions
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• 29.Prompts — Super-Structured Prompts [Markdown]
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• 30.Bonus — Using Reasoning Prompts
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• 31.Introduction to Agents
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• 32.Teaching You to Build an Agent
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• 33.Closing & Encouragement
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💡 Study tip: This tutorial reflects industry practices at the time of release; please align it with the latest platform rules while learning.