(P9610/name) Hua Zai · Coze Complete End-to-End Practical Course: Easy Start Even for Beginners

📚 Basics and core concepts

When starting Coze, the most important thing is a correct mental model. This builds the base and explains how Coze actually works.

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• 01. (P9610/description) Understanding Coze: what it is and what it can do
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• 02. How to learn Coze right: efficient learning-path advice
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• 03. (P9610/description) Underlying logic (variables + data structures): understanding Coze's 'blood' and 'skeleton'
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• 04. Variables in depth: how to define, use, and common pitfalls
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• 05. (P9610/description) Application of LLM nodes: make AI understand your intent
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🛠️ JSON and data-structure practice

JSON is Coze's universal data language. This walks through its structure and, through practice, how to use it flexibly.

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• 06. (P9610/description) JSON data types and structure: what objects, arrays, strings… all represent
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• 07. JSON data-structure practice: write and tune hands-on
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• 08. (P9610/description) JSON objects and object arrays: handling more complex data relationships
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⚙️ Workflows and core nodes in depth

Workflows are Coze's automation core. We break down every key node so you know not just how but why.

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• 09. Start and end nodes: the workflow's beginning and end
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• 10. (P9610/description) LLM core knowledge: how to set prompts, temperature, tokens… and other parameters
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• 11. (P9610/description) LLM advanced knowledge [batch processing]: handle multiple tasks at once
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• 12. (P9610/description) Workflow nodes in depth: link your automation logic
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• 13. (P9610/description) Plugin nodes in depth: extend Coze's capability boundaries
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• 14-16. (P9610/description) Selector-node applications (intro, core, advanced): make judgments and choices based on conditions
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• 17-21. (P9610/description) Loop nodes fully explained (underlying logic, arrays, variables, control): automate repetitive operations
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• 22. (P9610/description) Batch-processing node in depth: improve bulk-task efficiency
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• 23. (P9610/description) Input + output nodes in depth: how data comes in and how results go out
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• 24. (P9610/description) Variable-aggregation node in depth: merge and summarize data
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• 25. (P9610/description) Intent-recognition node in depth: accurately understand what users want
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• 26-27. (P9610/description) Code node (logic + AI programming): when built-in nodes aren't enough, use code for custom features
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🗃️ Mastering database operations

(P9610/description) Want Coze to remember information and manage data? Database operations are required. From CRUD to integrated use, step by step.

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• 28. (P9610/description) Database—adding data in depth: how to store new information
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• 29. (P9610/description) Database—updating data in depth: how to modify existing information
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• 30. (P9610/description) Database—deleting data in depth: how to safely remove data
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• 31. Database—query data in depth: how to precisely find what you want
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• 32. Database—update supplementary notes: details to watch
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• 33-35. App-page building and integrated nodes: combine database ops with pages to build useful features
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🤖 Agent config and conversation experience

Coze's agent is your AI assistant. This teaches how to configure it so it understands you better and works better.

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• 36. Initial Coze agent: meet your AI partner
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• 37. Agent LLM—prompts in depth: how to 'train' it to be more obedient
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• 38. Skills (how agents call plugins and workflows): give the agent more ability
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• 39. Agents—cards in practice: enrich interaction with cards
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• 40. Agent—memory in depth: let it remember history and context
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• 41. Agent conversation: optimize fluency and intelligence
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• 42-43. Multi-agent explanation and notes: how multiple agents collaborate
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📖 Knowledge-base building and management

Inject custom knowledge into Coze. Documents, spreadsheets, or images—all become info the agent can call.

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• 44. Knowledge-base intro: what it is and why it matters
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• 45. Knowledge base—text in depth: upload and manage documents
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• 46. Knowledge base—tables in depth: handle structured data
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• 47. Knowledge base—images in depth: let AI 'understand' image info
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• 48. Knowledge-base node in practice: call your knowledge base in a workflow
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🎨 Practice: H5 and Web page development

Apply learning—finally, two complete practice projects link prior knowledge into usable interfaces.

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• 49. H5 UI design in practice: design mobile interfaces
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• 50. H5 login page + workflow in practice: build an H5 page with login
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• 51. Web UI design in practice: design web interfaces
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• 52. Web registration page + workflow in practice: build a user-registration page and connect the backend
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• 53-54. Coze video workflow in practice (part 1/2): a comprehensive video-processing workflow, the finale
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These two practices not only cement all knowledge but yield two portfolio projects.