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AI Agent 从入门到实战：概念理解、MCP 使用、平台实操、工作流自动化
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Building Production NLP Systems with Modern AI: From BERT to LLMs
A practical guide to deploying natural language processing at enterprise scale
Learn how to build, fine-tune, and deploy production-grade NLP systems—from text classification and named entity recognition to semantic search and question answering using modern transformer models.
Deploying AI Computer Vision in Production: From Training to Edge
Building scalable vision AI systems for real-world applications
A practical guide to building and deploying computer vision systems at production scale—covering object detection, image classification, video analytics, and edge deployment strategies.
Building AI Recommendation Systems for E-Commerce: Beyond Collaborative Filtering
Modern approaches to personalization that drive conversion and retention
Learn how to build and deploy production recommendation systems using modern AI techniques—from two-tower neural networks and session-based recommendations to LLM-powered conversational shopping.
A/B Testing AI Features: Statistical Significance and Practical Significance
Power analysis, sequential testing, and avoiding common pitfalls in AI experiments
Learn rigorous A/B testing methodology for AI features including power analysis, sample size calculation, sequential testing, Bayesian approaches, and avoiding pitfalls like peeking and p-hacking.