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