[人工智能]AI工程师训练营英文课2025

The AI Engineer Course 2025 Complete AI Engineer Bootcamp 1 - Intro to AI Module Getting started - AI入门模块：入门指南 2 - Intro to AI Module Data is essential for building AI - AI入门模块：数据基础 3 - Intro to AI Module Key AI techniques - AI入门模块：关键技术 4 - Intro to AI Module Important AI branches - AI入门模块：重要分支 5 - Intro to AI Module Understanding Generative AI - AI入门模块：理解生成式AI 6 - Intro to AI Module Practical challenges in Generative AI - AI入门模块：生成式AI实践挑战 7 - Intro to AI Module The AI tech stack - AI入门模块：AI技术栈 8 - Intro to AI Module AI job positions - AI入门模块：AI职位 9 - Intro to AI Module Looking ahead - AI入门模块：展望未来 10 - Python Module Why Python - Python模块：为什么选择Python 11 - Python Module Setting Up the Environment - Python模块：环境设置 12 - Python Module Python Variables and Data Types - Python模块：变量和数据类型 13 - Python Module Basic Python Syntax - Python模块：基础语法 14 - Python Module More on Operators - Python模块：运算符详解 15 - Python Module Conditional Statements - Python模块：条件语句 16 - Python Module Functions - Python模块：函数 17 - Python Module Sequences - Python模块：序列 18 - Python Module Iteration - Python模块：迭代 19 - Python Module A Few Important Python Concepts and Terms - Python模块：重要概念和术语 20 - NLP Module Introduction - NLP模块：介绍 21 - NLP Module Text Preprocessing - NLP模块：文本预处理 22 - NLP Module Identifying Parts of Speech and Named Entities - NLP模块：词性标注和命名实体识别 23 - NLP Module Sentiment Analysis - NLP模块：情感分析 24 - NLP Module Vectorizing Text - NLP模块：文本向量化 25 - NLP Module Topic Modelling - NLP模块：主题建模 26 - NLP Module Building Your Own Text Classifier - NLP模块：构建文本分类器 27 - NLP Module Categorizing Fake News Case Study - NLP模块：假新闻分类案例研究 28 - NLP Module The Future of NLP - NLP模块：NLP的未来 29 - LLMs Module Introduction to Large Language Models - LLM模块：大语言模型介绍 30 - LLMs Module The Transformer Architecture - LLM模块：Transformer架构 31 - LLMs Module Getting Started With GPT Models - LLM模块：GPT模型入门 32 - LLMs Module Hugging Face Transformers - LLM模块：Hugging Face Transformers 33 - LLMs Module Question and Answer Models With BERT - LLM模块：BERT问答模型 34 - LLMs Module Text Classification With XLNet - LLM模块：XLNet文本分类 35 - LangChain Module Introduction - LangChain模块：介绍 36 - LangChain Module Tokens Models and Prices - LangChain模块：令牌、模型和价格 37 - LangChain Module Setting Up the Environment - LangChain模块：环境设置 38 - LangChain Module The OpenAI API - LangChain模块：OpenAI API 39 - LangChain Module Model Inputs - LangChain模块：模型输入 40 - LangChain Module Message History and Chatbot Memory - LangChain模块：消息历史和聊天机器人记忆 41 - LangChain Module Output Parsers - LangChain模块：输出解析器 42 - LangChain Module LangChain Expression Language LCEL - LangChain模块：LangChain表达式语言 43 - LangChain Module Retrieval Augmented Generation RAG - LangChain模块：检索增强生成 44 - LangChain Module Tools and Agents - LangChain模块：工具和代理 45 - Vector Databases Module Introduction - 向量数据库模块：介绍 46 - Vector Databases Module Basics of Vector Space and HighDimensional Data - 向量数据库模块：向量空间和高维数据基础 47 - Vector Databases Module Introduction to The Pinecone Vector Database - 向量数据库模块：Pinecone向量数据库介绍 48 - Vector Databases Module Semantic Search with Pinecone and Custom Case Study - 向量数据库模块：语义搜索与案例研究 49 - Speech Recognition Module Introduction - 语音识别模块：介绍 50 - Speech Recognition Module Sound and Speech Basics - 语音识别模块：声音和语音基础 51 - Speech Recognition Module Analog to Digital Conversion - 语音识别模块：模数转换 52 - Speech Recognition Module Audio Feature Extraction for AI Applications - 语音识别模块：音频特征提取 53 - Speech Recognition Module Technology Mechanics - 语音识别模块：技术机制 54 - Speech Recognition Module Setting Up the Environment - 语音识别模块：环境设置 55 - Speech Recognition Module Transcribing Audio with Google Web Speech API - 语音识别模块：使用Google Web Speech API转录音频 56 - Speech Recognition Module Background Noise and Spectrograms - 语音识别模块：背景噪声和频谱图 57 - Speech Recognition Module Transcribing Audio with OpenAIs Whisper - 语音识别模块：使用OpenAI Whisper转录音频 58 - Speech Recognition Module Final Discussion and Future Directions - 语音识别模块：最终讨论和未来方向 59 - LLM Engineering Module Introduction - LLM工程模块：介绍 60 - LLM Engineering Module Planning stage - LLM工程模块：规划阶段 61 - LLM Engineering Module Crafting and Testing AI Prompts - LLM工程模块：设计和测试AI提示 62 - LLM Engineering Module Getting to Know Streamlit - LLM工程模块：了解Streamlit 63 - LLM Engineering Module Developing the prototype - LLM工程模块：开发原型 64 - LLM Engineering Module Solving RealWorld AI Challenges - LLM工程模块：解决现实世界AI挑战 65 - AI Ethics Module Introduction to AI and Data Ethics - AI伦理模块：AI和数据伦理介绍 66 - AI Ethics Module The Core Principles of AI Ethics - AI伦理模块：AI伦理核心原则 67 - AI Ethics Module Ethical Data Collection - AI伦理模块：伦理数据收集 68 - AI Ethics Module Ethical AI Development - AI伦理模块：伦理AI开发 69 - AI Ethics Module Ethical AI Deployment - AI伦理模块：伦理AI部署 70 - AI Ethics Module Ethical AI for EndUsers Businesses - AI伦理模块：面向企业用户的伦理AI 71 - AI Ethics Module Ethical AI for EndUsers Individuals - AI伦理模块：面向个人用户的伦理AI 72 - AI Ethics Module ChatGPT Ethics - AI伦理模块：ChatGPT伦理 73 - AI Ethics Module Data and AI Regulatory Frameworks - AI伦理模块：数据和AI监管框架