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The AI Engineer Course 2025 Complete AI Engineer Bootcamp
如果你已经在用 Python 写脚本，却说不清一个 AI 功能从数据到上线要经过哪些环节，这套训练营值得先看再决定。它不讲空泛的行业前景，主线是把 AI 工程拆成能动手的环节：数据怎么准备、模型怎么调、应用怎么接。 它解决的是哪类工作场景 课程从 AI 的基本概念和数据的作用讲起，再进入关键技术，然
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如果你已经在用 Python 写脚本，却说不清一个 AI 功能从数据到上线要经过哪些环节，这套训练营值得先看再决定。它不讲空泛的行业前景，主线是把 AI 工程拆成能动手的环节：数据怎么准备、模型怎么调、应用怎么接。
它解决的是哪类工作场景
课程从 AI 的基本概念和数据的作用讲起，再进入关键技术，然后落到自然语言处理、大语言模型和 LangChain 这类应用框架上。对应到实际工作，就是让你能接住「把一份业务文本变成可用的分类或问答功能」这样的需求，而不是只会跑别人写好的示例。资料里还留了 AI 伦理与合规的位置，这部分在做面向用户的产品时绕不开，比如数据能不能用、输出要不要留痕，早点建立判断比事后补救省事。
适合什么基础，先看哪几块
它假定你已经会一点 Python，能读懂函数和基本数据结构，完全零编程基础的人跟起来会吃力。建议的顺序是先过 AI 入门和数据这两块，把术语和流程对齐，再进 NLP 和 LLM 部分，最后看 LangChain 的应用组织方式。如果你已经用过某个大模型接口，可以快速扫过前面，把时间放在 LangChain 和合规那两块，那里更接近真实项目的结构。反过来，如果只是听说过模型名字，就别跳，前面的数据部分决定了后面能不能调得动。
学完能独立做什么，资料怎么配合练
比较现实的目标是：你能独立搭出一个带文本处理能力的小应用，比如把一批文档做成可检索的问答，或者对用户输入做分类和摘要，并且知道每一步为什么这么做、出错时从哪查。练习时不要只看视频，每看完一个模块就用自己的数据复现一遍，哪怕数据很小。LangChain 那部分尤其要动手改参数、换模型、看输出差异，光看目录记不住。合规内容可以对照自己手头的业务想一遍，比背条款有用。整套资料适合当工作手册反复翻，而不是一次性刷完。
课程目录
课程目录10 集
- The AI Engineer Course 20
- 25 Complete AI Engineer Bootcamp 1 - Intro to AI Module Getting started
- 10 - Python Module Why Python
- 11 - Python Module Setting Up the Environment
- 12 - Python Module Python Variables and Data Types
- 13 - Python Module Basic Python Syntax
- 14 - Python Module More on Operators
- 15 - Python Module Conditional Statements
- 16 - Python Module Functions
- 17 - Python Module Sequences
- 18 - Python Module Iteration
- 19 - Python Module A Few Important Python Concepts and Terms 2 - Intro to AI Module Data is essential for building AI
- 20 - NLP Module Introduction
- 21 - NLP Module Text Preprocessing
- 22 - NLP Module Identifying Parts of Speech and Named Entities
- 23 - NLP Module Sentiment Analysis
- 24 - NLP Module Vectorizing Text
- 25 - NLP Module Topic Modelling
- 26 - NLP Module Building Your Own Text Classifier
- 27 - NLP Module Categorizing Fake News Case Study
- 28 - NLP Module The Future of NLP
- 29 - LLMs Module Introduction to Large Language Models 3 - Intro to AI Module Key AI techniques
- 30 - LLMs Module The Transformer Architecture
- 31 - LLMs Module Getting Started With GPT Models
- 32 - LLMs Module Hugging Face Transformers
- 33 - LLMs Module Question and Answer Models With BERT
- 34 - LLMs Module Text Classification With XLNet
- 35 - LangChain Module Introduction
- 36 - LangChain Module Tokens Models and Prices
- 37 - LangChain Module Setting Up the Environment
- 38 - LangChain Module The OpenAI API
- 39 - LangChain Module Model Inputs 4 - Intro to AI Module Important AI branches
- 40 - LangChain Module Message History and Chatbot Memory
- 41 - LangChain Module Output Parsers
- 42 - LangChain Module LangChain Expression Language LCEL
- 43 - LangChain Module Retrieval Augmented Generation RAG
- 44 - LangChain Module Tools and Agents
- 45 - Vector Databases Module Introduction
- 46 - Vector Databases Module Basics of Vector Space and HighDimensional Data
- 47 - Vector Databases Module Introduction to The Pinecone Vector Database
- 48 - Vector Databases Module Semantic Search with Pinecone and Custom Case Study
- 49 - Speech Recognition Module Introduction 5 - Intro to AI Module Understanding Generative AI
- 50 - Speech Recognition Module Sound and Speech Basics
- 51 - Speech Recognition Module Analog to Digital Conversion
- 52 - Speech Recognition Module Audio Feature Extraction for AI Applications
- 53 - Speech Recognition Module Technology Mechanics
- 54 - Speech Recognition Module Setting Up the Environment
- 55 - Speech Recognition Module Transcribing Audio with Google Web Speech API
- 56 - Speech Recognition Module Background Noise and Spectrograms
- 57 - Speech Recognition Module Transcribing Audio with OpenAIs Whisper
- 58 - Speech Recognition Module Final Discussion and Future Directions
- 59 - LLM Engineering Module Introduction 6 - Intro to AI Module Practical challenges in Generative AI
- 60 - LLM Engineering Module Planning stage
- 61 - LLM Engineering Module Crafting and Testing AI Prompts
- 62 - LLM Engineering Module Getting to Know Streamlit
- 63 - LLM Engineering Module Developing the prototype
- 64 - LLM Engineering Module Solving RealWorld AI Challenges
- 65 - AI Ethics Module Introduction to AI and Data Ethics
- 66 - AI Ethics Module The Core Principles of AI Ethics
- 67 - AI Ethics Module Ethical Data Collection
- 68 - AI Ethics Module Ethical AI Development
- 69 - AI Ethics Module Ethical AI Deployment 7 - Intro to AI Module The AI tech stack
- 70 - AI Ethics Module Ethical AI for EndUsers Businesses
- 71 - AI Ethics Module Ethical AI for EndUsers Individuals
- 72 - AI Ethics Module ChatGPT Ethics
- 73 - AI Ethics Module Data and AI Regulatory Frameworks 8 - Intro to AI Module AI job positions 9 - Intro to AI Module Looking ahead 获取更多精品课程资源.url 1 - Building an AI tool in 5 minutes A quick demo Arabic.vtt 1 - Building an AI tool in 5 minutes A quick demo English.vtt 1 - Building an AI tool in 5 minutes A quick demo French.vtt 1 - Building an AI tool in 5 minutes A quick demo Japanese.vtt 1 - Building an AI tool in 5 minutes A quick demo Korean.vtt 1 - Building an AI tool in 5 minutes A quick demo Polish.vtt 1 - Building an AI tool in 5 minutes A quick demo Portuguese.vtt 1 - Building an AI tool in 5 minutes A quick demo Spanish.vtt 1 - Building an AI tool in 5 minutes A quick demo Turkish.vtt 1 - Building an AI tool in 5 minutes A quick demo.mp4
- 1 - Building an AI tool in 5 minutes A quick demo.srt 1 - Building an AI tool in 5 minutes A quick demoen.srt 1 - Intro to AI Flashcards.txt 1 - Intro-to-AI-Course-notes.pdf
- 2 - Intro to AI Flashcards.txt 2 - Intro-to-AI-Course-notes.pdf
- 2 - What does the course cover Arabic.vtt 2 - What does the course cover English.vtt 2 - What does the course cover French.vtt 2 - What does the course cover Japanese.vtt 2 - What does the course cover Korean.vtt 2 - What does the course cover Polish.vtt 2 - What does the course cover Portuguese.vtt 2 - What does the course cover Spanish.vtt 2 - What does the course cover Turkish.vtt 2 - What does the course cover.mp4
- 2 - What does the course cover.srt 2 - What does the course coveren.srt 3 - Intro to AI Flashcards.txt 3 - Intro-to-AI-Course-notes.pdf
- 3 - Natural vs Artificial Intelligence Arabic.vtt 3 - Natural vs Artificial Intelligence English.vtt 3 - Natural vs Artificial Intelligence French.vtt 3 - Natural vs Artificial Intelligence Japanese.vtt 3 - Natural vs Artificial Intelligence Korean.vtt 3 - Natural vs Artificial Intelligence Polish.vtt 3 - Natural vs Artificial Intelligence Portuguese.vtt 3 - Natural vs Artificial Intelligence Spanish.vtt 3 - Natural vs Artificial Intelligence Turkish.vtt 3 - Natural vs Artificial Intelligence.mp4
- 3 - Natural vs Artificial Intelligence.srt 3 - Natural vs Artificial Intelligenceen.srt 4 - Brief history of AI Arabic.vtt 4 - Brief history of AI English.vtt 4 - Brief history of AI French.vtt 4 - Brief history of AI Japanese.vtt 4 - Brief history of AI Korean.vtt 4 - Brief history of AI Polish.vtt 4 - Brief history of AI Portuguese.vtt 4 - Brief history of AI Spanish.vtt 4 - Brief history of AI Turkish.vtt 4 - Brief history of AI.mp4
- 4 - Brief history of AI.srt 4 - Brief history of AIen.srt 5 - Demystifying AI Data science Machine learning and Deep learning Arabic.vtt 5 - Demystifying AI Data science Machine learning and Deep learning English.vtt 5 - Demystifying AI Data science Machine learning and Deep learning French.vtt 5 - Demystifying AI Data science Machine learning and Deep learning Japanese.vtt 5 - Demystifying AI Data science Machine learning and Deep learning Korean.vtt 5 - Demystifying AI Data science Machine learning and Deep learning Polish.vtt 5 - Demystifying AI Data science Machine learning and Deep learning Portuguese.vtt 5 - Demystifying AI Data science Machine learning and Deep learning Spanish.vtt 5 - Demystifying AI Data science Machine learning and Deep learning Turkish.vtt 5 - Demystifying AI Data science Machine learning and Deep learning.mp4
- 5 - Demystifying AI Data science Machine learning and Deep learning.srt 5 - Demystifying AI Data science Machine learning and Deep learningen.srt 6 - Weak vs Strong AI Arabic.vtt 6 - Weak vs Strong AI English.vtt 6 - Weak vs Strong AI French.vtt 6 - Weak vs Strong AI Japanese.vtt 6 - Weak vs Strong AI Korean.vtt 6 - Weak vs Strong AI Polish.vtt 6 - Weak vs Strong AI Portuguese.vtt 6 - Weak vs Strong AI Spanish.vtt 6 - Weak vs Strong AI Turkish.vtt 6 - Weak vs Strong AI.mp4
- 6 - Weak vs Strong AI.srt 6 - Weak vs Strong AIen.srt 适合人群 AI爱好者 Python开发者 数据科学家 产品经理 学习收获 掌握Python在AI领域的应用 精通NLP与文本处理技术 了解LLM与LangChain原理 具备AI伦理与合规意识 祝您学习愉快！ 学有所成，前程似锦！
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