AI数据工程
AI Data Engineering
Data annotation, vector databases, and RAG knowledge base construction
Course Overview
In AI systems, data quality is often more critical than the model itself. This course teaches you core skills like data annotation management, vector database usage, and RAG knowledge base construction, preparing you to become an indispensable data engineering talent in the AI era.
Free Chapter Preview
Data Engineering in the AI Era: Why Data Matters More Than Models
Understand the core role of data in AI systems and the value of data engineers · 9 min
Data Annotation and Quality Management: The Key to AI Model Performance
Master data annotation methods, quality assessment systems, and practical tools · 11 min
Vector Databases and RAG: Building Enterprise-Grade Intelligent Knowledge Bases
Use vector databases and RAG technology to build knowledge systems that answer professional questions · 12 min
Hands-On Project: Building a Complete AI Data Pipeline
Design and implement an end-to-end pipeline from data collection and cleaning to vectorized storage · 18 min
AI Data Engineer Career Guide and Professional Development
Certification paths, resume optimization, interview preparation, and global data engineer salaries · 15 min
Curriculum
Introduction to AI Data Engineering
Data Annotation and Quality
Vector Databases
Building RAG Knowledge Bases
Career Development
Related Certifications
AWS Data Engineer Associate
Cost: ~$150 · Difficulty: Intermediate
Google Cloud Data Engineer
Cost: ~$200 · Difficulty: Intermediate
Extended Learning Resources
Curated free resources to complement this course
Pinecone Learning Center
FREEenPinecone · Vector Database Principles and Practical Tutorial
Weaviate Academy
FREEenWeaviate · Weaviate Vector Database Official Learning Platform
HuggingFace NLP Course
FREEenHugging Face · Open-Source NLP and Embedding Model Course
Kaggle Learn
FREEenKaggle · Kaggle Free Data Science Micro-Courses
Career Path
Salary Range
Domestic: 12K-40K/month | Overseas: $70K-$160K/year