資料內(nèi)容：

The AI Engineer Course 2025 Complete AI Engineer Bootcamp

1 - Intro to AI Module Getting started - AI入門模塊：入門指南
2 - Intro to AI Module Data is essential for building AI - AI入門模塊：數(shù)據(jù)基礎(chǔ)
3 - Intro to AI Module Key AI techniques - AI入門模塊：關(guān)鍵技術(shù)
4 - Intro to AI Module Important AI branches - AI入門模塊：重要分支
5 - Intro to AI Module Understanding Generative AI - AI入門模塊：理解生成式AI
6 - Intro to AI Module Practical challenges in Generative AI - AI入門模塊：生成式AI實踐挑戰(zhàn)
7 - Intro to AI Module The AI tech stack - AI入門模塊：AI技術(shù)棧
8 - Intro to AI Module AI job positions - AI入門模塊：AI職位
9 - Intro to AI Module Looking ahead - AI入門模塊：展望未來
10 - Python Module Why Python - Python模塊：為什么選擇Python
11 - Python Module Setting Up the Environment - Python模塊：環(huán)境設(shè)置
12 - Python Module Python Variables and Data Types - Python模塊：變量和數(shù)據(jù)類型
13 - Python Module Basic Python Syntax - Python模塊：基礎(chǔ)語法
14 - Python Module More on Operators - Python模塊：運算符詳解
15 - Python Module Conditional Statements - Python模塊：條件語句
16 - Python Module Functions - Python模塊：函數(shù)
17 - Python Module Sequences - Python模塊：序列
18 - Python Module Iteration - Python模塊：迭代
19 - Python Module A Few Important Python Concepts and Terms - Python模塊：重要概念和術(shù)語
20 - NLP Module Introduction - NLP模塊：介紹
21 - NLP Module Text Preprocessing - NLP模塊：文本預(yù)處理
22 - NLP Module Identifying Parts of Speech and Named Entities - NLP模塊：詞性標(biāo)注和命名實體識別
23 - NLP Module Sentiment Analysis - NLP模塊：情感分析
24 - NLP Module Vectorizing Text - NLP模塊：文本向量化
25 - NLP Module Topic Modelling - NLP模塊：主題建模
26 - NLP Module Building Your Own Text Classifier - NLP模塊：構(gòu)建文本分類器
27 - NLP Module Categorizing Fake News Case Study - NLP模塊：假新聞分類案例研究
28 - NLP Module The Future of NLP - NLP模塊：NLP的未來
29 - LLMs Module Introduction to Large Language Models - LLM模塊：大語言模型介紹
30 - LLMs Module The Transformer Architecture - LLM模塊：Transformer架構(gòu)
31 - LLMs Module Getting Started With GPT Models - LLM模塊：GPT模型入門
32 - LLMs Module Hugging Face Transformers - LLM模塊：Hugging Face Transformers
33 - LLMs Module Question and Answer Models With BERT - LLM模塊：BERT問答模型
34 - LLMs Module Text Classification With XLNet - LLM模塊：XLNet文本分類
35 - LangChain Module Introduction - LangChain模塊：介紹
36 - LangChain Module Tokens Models and Prices - LangChain模塊：令牌、模型和價格
37 - LangChain Module Setting Up the Environment - LangChain模塊：環(huán)境設(shè)置
38 - LangChain Module The OpenAI API - LangChain模塊：OpenAI API
39 - LangChain Module Model Inputs - LangChain模塊：模型輸入
40 - LangChain Module Message History and Chatbot Memory - LangChain模塊：消息歷史和聊天機(jī)器人記憶
41 - LangChain Module Output Parsers - LangChain模塊：輸出解析器
42 - LangChain Module LangChain Expression Language LCEL - LangChain模塊：LangChain表達(dá)式語言
43 - LangChain Module Retrieval Augmented Generation RAG - LangChain模塊：檢索增強生成
44 - LangChain Module Tools and Agents - LangChain模塊：工具和代理
45 - Vector Databases Module Introduction - 向量數(shù)據(jù)庫模塊：介紹
46 - Vector Databases Module Basics of Vector Space and HighDimensional Data - 向量數(shù)據(jù)庫模塊：向量空間和高維數(shù)據(jù)基礎(chǔ)
47 - Vector Databases Module Introduction to The Pinecone Vector Database - 向量數(shù)據(jù)庫模塊：Pinecone向量數(shù)據(jù)庫介紹
48 - Vector Databases Module Semantic Search with Pinecone and Custom Case Study - 向量數(shù)據(jù)庫模塊：語義搜索與案例研究
49 - Speech Recognition Module Introduction - 語音識別模塊：介紹
50 - Speech Recognition Module Sound and Speech Basics - 語音識別模塊：聲音和語音基礎(chǔ)
51 - Speech Recognition Module Analog to Digital Conversion - 語音識別模塊：模數(shù)轉(zhuǎn)換
52 - Speech Recognition Module Audio Feature Extraction for AI Applications - 語音識別模塊：音頻特征提取
53 - Speech Recognition Module Technology Mechanics - 語音識別模塊：技術(shù)機(jī)制
54 - Speech Recognition Module Setting Up the Environment - 語音識別模塊：環(huán)境設(shè)置
55 - Speech Recognition Module Transcribing Audio with Google Web Speech API - 語音識別模塊：使用Google Web Speech API轉(zhuǎn)錄音頻
56 - Speech Recognition Module Background Noise and Spectrograms - 語音識別模塊：背景噪聲和頻譜圖
57 - Speech Recognition Module Transcribing Audio with OpenAIs Whisper - 語音識別模塊：使用OpenAI Whisper轉(zhuǎn)錄音頻
58 - Speech Recognition Module Final Discussion and Future Directions - 語音識別模塊：最終討論和未來方向
59 - LLM Engineering Module Introduction - LLM工程模塊：介紹
60 - LLM Engineering Module Planning stage - LLM工程模塊：規(guī)劃階段
61 - LLM Engineering Module Crafting and Testing AI Prompts - LLM工程模塊：設(shè)計和測試AI提示
62 - LLM Engineering Module Getting to Know Streamlit - LLM工程模塊：了解Streamlit
63 - LLM Engineering Module Developing the prototype - LLM工程模塊：開發(fā)原型
64 - LLM Engineering Module Solving RealWorld AI Challenges - LLM工程模塊：解決現(xiàn)實世界AI挑戰(zhàn)
65 - AI Ethics Module Introduction to AI and Data Ethics - AI倫理模塊：AI和數(shù)據(jù)倫理介紹
66 - AI Ethics Module The Core Principles of AI Ethics - AI倫理模塊：AI倫理核心原則
67 - AI Ethics Module Ethical Data Collection - AI倫理模塊：倫理數(shù)據(jù)收集
68 - AI Ethics Module Ethical AI Development - AI倫理模塊：倫理AI開發(fā)
69 - AI Ethics Module Ethical AI Deployment - AI倫理模塊：倫理AI部署
70 - AI Ethics Module Ethical AI for EndUsers Businesses - AI倫理模塊：面向企業(yè)用戶的倫理AI
71 - AI Ethics Module Ethical AI for EndUsers Individuals - AI倫理模塊：面向個人用戶的倫理AI
72 - AI Ethics Module ChatGPT Ethics - AI倫理模塊：ChatGPT倫理
73 - AI Ethics Module Data and AI Regulatory Frameworks - AI倫理模塊：數(shù)據(jù)和AI監(jiān)管框架