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AI核心概念百科

AI Essential Glossary

Systematic explanation of 100+ AI terms, covering everything from Tokens to Agents

FreeEssential for BeginnersZero Foundation
3 Weeks Free chapters included
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Course Overview

The AI field is full of terminology. What do terms like Token, Embedding, RAG, Agent, MCP... actually mean? This course uses easy-to-understand language to systematically explain 100+ core AI concepts, helping students with zero foundation quickly build an AI knowledge framework and lay a solid foundation for further in-depth learning. All 5 chapters are free.

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AI Fundamentals and Models: From Machine Learning to Large Language Models

Systematically understand the differences between AI/ML/DL, training vs. inference, and open-source vs. closed-source models. · 12 min

Core Concepts of Large Language Models: Token, Embedding, and Transformer

Deep dive into the core mechanisms, mainstream models, and key parameters of LLMs. · 14 min

Prompting and Interaction Techniques: Prompt, RAG, and Function Calling

Master the core technical concepts and methodologies for interacting with AI. · 13 min

AI Agents and Tool Ecosystems: MCP, LangChain, and Development Tools

Explore the complete ecosystem of AI agents, workflow platforms, and development toolchains. · 13 min

AI Industry Terminology and Business Concepts: From SaaS to AI Governance

Master the business models, security concepts, and professional terminology of the AI industry. · 12 min

Curriculum

01

AI Fundamentals and Models

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Differences between AI, AGI, and ASI
Machine Learning vs. Deep Learning
Training, Inference, and Fine-tuning
Open-source vs. Closed-source Models
02

Core Concepts of Large Language Models

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Tokens and Tokenization
Embeddings and Vector Databases
Transformer and Attention Mechanism
Comparison of Mainstream Models
03

Prompting and Interaction Techniques

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Prompt Engineering Basics
Few-shot and Chain-of-Thought
RAG (Retrieval-Augmented Generation)
Function Calling and Multimodality
04

AI Agents and Tool Ecosystem

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AI Agents and Intelligent Agents
Detailed Explanation of MCP Protocol
LangChain/Dify/Coze Toolchains
Cursor/Copilot Development Tools
05

AI Industry Terms and Business Concepts

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SaaS and MaaS Business Models
Token Billing and Pricing
AI Security and Red Teaming
AI Governance and Responsible AI

Extended Learning Resources

Curated free resources to complement this course

Google AI Essentials

FREEen

Google · Google AI Foundational Skills Learning Path

Microsoft AI-For-Beginners

FREEen

Microsoft · Microsoft 12-Week AI Introductory Course (MIT License)

Elements of AI

FREEen/zh

University of Helsinki · University of Helsinki AI Introductory Course, 2M+ Global Learners

Microsoft Generative-AI-For-Beginners

FREEen

Microsoft · Microsoft 21-Lesson Generative AI Course (MIT License)

Career Path

AI Student with Zero Foundation
AI Tool User
AI Job Seeker
AI Industry Professional

Salary Range

This is an introductory encyclopedia. Upon completion, you can proceed to any specialized learning path.

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