2026 AI Agent From Zero to One Systematic Course: Platform Registration, Basic Components, Automated Workflows, Knowledge Base

Course Introduction

Many people want to use AI agents but get stuck not understanding the underlying logic, only able to copy others' finished products, unable to customize workflows per their own needs, and at a loss when facing complex data processing or multi-step automation tasks. To truly master agents, you must go beyond simple prompts and deeply understand core components like nodes, variables, loops, and knowledge bases.

This 2026 AI Agent Zero-to-One systematic course is for zero-basics students, covering the complete agent knowledge system step by step. Starting from platform registration and interface orientation, it first covers smart editing plugin configuration, breaking down the underlying logic with practical cases; it also includes a complete old photo restoration workflow to quickly feel AI automation effects.

The course deeply covers LLM basics, understanding prompt logic, and introduces core units for building automated flows: nodes, plugins, variables; understanding token and credit consumption rules to control costs. Then it covers coding basics: variable types, JSON and arrays, using JSON to standardize agent I/O for structured data passing.

Advanced modules cover selectors, loops, batch processing, variable aggregation - enabling agents to auto-complete branching decisions, repetitive tasks, and bulk data processing. Also covers multimedia capabilities: TTS, image generation, AI video generation, text cleaning - directly usable for covers, illustrations, and video narration, connecting the content production chain.

Also covers LLM plugin config, model selection, custom skills, visual recognition, and advanced prompt optimization. Master full workflow skills through a comprehensive historical figure project. Finally, RAG knowledge base principles, hand-creating and mounting a dedicated knowledge base so agents can read private materials for domain-specific Q&A.

Every topic has hands-on demos, building from smallest components to complete projects. After this course, you can independently design your own AI automated workflows for content editing, image-text-video production, private document Q&A, and batch processing of repetitive work.

Who This Is For

AI enthusiasts wanting to build their own agents, not just copy others' products

Self-media creators wanting automated editing and image-text-video generation workflows

Side-business/content operators wanting to batch-process text and assets with AI

Learners wanting RAG knowledge base, AI reading your own documents

Zero-basics wanting systematic AI workflow and node automation learning

What You'll Gain

Understand LLM and agent fundamentals, token/credit cost logic

Master nodes, variables, JSON, loops, batch processing for automated flows

Configure smart editing plugins, old photo restoration, AI image-text-video generation

Model selection, plugin/skill config, unlock image/video visual understanding

RAG knowledge base principles, independently create knowledge bases for private Q&A

Complete project delivery capability, customizable AI automation workflows

Course Content

001_1.1 Smart Editing Plugin Addition Guide

002_1.2 Smart Editing Assistant Configuration Guide

003_1.3 Smart Editing: Principle Breakdown and Practice Cases

004_2.1 Account Registration and Interface Introduction

005_2.2 Old Photo Restoration Workflow

006_3.1 LLM: The Super Brain of the Intelligent Era

007_3.2 Prompts: Instructing Agents Like a Boss

008_3.3 Nodes: Building Blocks of Automated Flows

009_3.4 Plugins: Infinite Expansion of Agent Superpowers

010_3.5 Variables: Giving Agents "Memory"

011_3.6 Tokens: Understanding Model "Word Count" and Cost

012_3.7 Credits: Efficient Use of Platform Resources

013_4.1 Variable Types: Text, Numbers, and Booleans

014_4.2 JSON: Universal Language of the Intelligent World

015_4.3 JSON Arrays: Batch Processing Multiple Data Groups

016_4.4 Practice: Standardizing I/O with JSON

017_5.1 Selectors: Intelligent Branching Intersections

018_5.2 Loops: Let Agents Do Your Repetitive Work

019_5.3 Batch Processing: Tool for Large-Scale Concurrency

020_5.4 Difference Between Loops and Batch Processing

021_5.5 Variable Aggregation: Convergence of Multiple Data Streams

022_5.6 TTS: Adding Smart Narration to Videos

023_5.7 Image Generation: Custom Covers and Illustrations

024_5.8 Video Generation: Magic from Text to Video

025_5.9 Text Processing: Data Cleaning and Formatting

026_6.1 LLM Plugin Feature Introduction

027_6.2 Model Configuration: Choosing the Right "Brain" by Scenario

028_6.3 Skill Configuration: Adding Dedicated Capabilities to Models

029_6.4 Visual Understanding: Letting Agents Understand Images and Videos

030_6.5 Advanced Prompts: Optimizing LLM Output

031_7.1 Workflow Operation Tips

032_7.2 Life of a Historical Figure - Part 1

033_7.3 Life of a Historical Figure - Part 2

034_7.4 Life of a Historical Figure - Part 3

035_8.1 RAG Knowledge Base Principles

036_8.2 Creating and Using Knowledge Bases

Who Is This For

Zero-basics beginners wanting to seize the intelligent era opportunity but not knowing where to start. No coding, no tech knowledge needed - just computer skills.

Side-hustle self-media creators and short-video creators. After the course, you can build your own workflows to batch-generate videos, voice-overs, and illustrations - efficiency doubled, one person equals a team.

Career workers wanting to transform but not knowing where to start. Don't want to be replaced; want new skills to be more competitive - this course is your stepping stone.

Those with some basics but feeling knowledge is fragmented. This course helps you string scattered knowledge into a line, forming your own design methodology.

What You'll Gain

Design and publish your own agents

Independently design your own workflows. Facing real needs, you can break down, design, and build automated flows without begging for templates or tutorials.

Master all core features of the Coze platform. From nodes to plugins, from model config to knowledge bases - everything at your fingertips.

Have a complete practical portfolio. Old photo restoration, historical figure videos, smart knowledge base - each is a demonstrable, deployable result for interviews, client orders, and account building.

Form intelligent thinking and build long-term competitiveness. Tools will change, but the underlying ability to break down needs, design flows, and optimize results will always be useful. This course teaches not just current skills but a continuously iteratable mindset, keeping you relevant in the future.