UseDify Tutorial Guide

Welcome to the UseDify Tutorial Guide. This series is designed to provide a comprehensive and systematic learning path for developers, enterprise decision-makers, and AI enthusiasts. Whether you are a beginner just starting with Large Language Models (LLMs) or an experienced expert seeking enterprise-level AI solutions, this guide is here to help.

Through five core sections, we will take you from understanding the essence of the AI wave to mastering the installation and usage of Dify, exploring advanced techniques for building Agents and Workflows, and finally sharing real-world cases and best practices for enterprise AI implementation.

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Tutorial Outline

Part 1: Primer

This chapter establishes a basic understanding of the new wave of AI, discussing the social impact of new AI models and the core capabilities of next-generation AI.

• Introduction: The Fourth AI Wave: Explore the history and future trends of AI development.
• LLM Basics: Understand the working principles of Large Language Models.
• Workflows vs. Agents: Master the basic concepts of Workflows and Agents, and learn how to make the best choice for specific scenarios.

Part 2: Selection & Installation

From an enterprise and business perspective, we analyze the criteria for selecting workflow engines and detail the deployment and configuration of Dify.

• Why Choose Dify: In-depth analysis of Dify's unique advantages in enterprise applications.
• Usage & Installation:
  • Open-source high-performance deployment, offline deployment, and enterprise deployment solutions.
  • Hardware and software requirements for enterprise large model deployment.

Part 3: Basics

Get hands-on and start your Dify journey.

• Connecting LLMs to Dify: Covers guides for connecting enterprise intranet deployments and domestic large models.
• Creating Agents in Dify & Prompt Engineering: Learn how to create efficient agents and master prompt engineering.
• Build a "Doubao" to Know Everything About Dify: Familiarize yourself with Dify by building a complete application.

Part 4: Advanced

Challenge yourself with more complex business scenarios.

• I Have a Requirement, Can It Be Implemented?: Solutions and ideas for specific business needs.

Part 5: Enterprise Best Practices

In-depth case studies providing references for enterprise implementation.

• Tsinghua University "QingXiaoda" Analysis: Analyzing AI application practices in university scenarios.
• Huawei Industrial AI White Paper 2025: Interpreting AI development trends and implementation strategies in the industrial sector.