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The AI Engineer Course 2025 Complete AI Engineer Bootcamp

The AI Engineer Course 2025 Complete AI Engineer Bootcamp 全面AI工程师实战训练营 ⭐ 编辑推荐 从Python基础到NLP、LLM、LangChain,打造实战型AI工程师。 ✨ 课程亮点 ✦ Python基础与进阶 ✦ NLP与文本处理

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The AI Engineer Course 2025 Complete AI Engineer Bootcamp

全面AI工程师实战训练营

⭐ 编辑推荐

从Python基础到NLP、LLM、LangChain,打造实战型AI工程师。

✨ 课程亮点

✦Python基础与进阶
✦NLP与文本处理
✦LLM与LangChain应用
✦AI伦理与合规

课程目录

课程目录18 条
  • The AI Engineer Course 2025 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.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.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.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.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.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.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!