Udemyintermediatezh

進擊的 LangChain 學習路:打造 LLM 驅動應用程式的必備技能,一步步教你如何開發 AI 應用專案

Build custom GPT robots with LangChain! Unlock powerful AI automation. Learn to create personalized GPT applications.

4.4(152)
828students
2h 53m
Certificate
Heng-Shiou Sheu 許恆修
Heng-Shiou Sheu 許恆修Co-Founder @圖靈文本 | AI 研究員 @微光國際 | 業界講師 @FCU 創能學院

Course Content

進擊的 LangChain 學習路:打造 LLM 驅動應用程式的必備技能,一步步教你如何開發 AI 應用專案 is an intermediate-level Udemy course taught by Heng-Shiou Sheu 許恆修. It runs 2h 53m, is taught in Chinese, and includes a certificate of completion. Learners rate it 4.4 out of 5 from 152 reviews, with 828 students enrolled. It is a paid course, last updated August 2023.

Unlock the Power of LLMs with LangChain: A Practical Chinese Course

Welcome to the first Chinese course on LangChain on Udemy! This comprehensive course will teach you how to harness the power of LangChain and apply it to the exciting field of Large Language Models (LLMs). You'll gain the essential skills and knowledge to develop LLM solutions for everyday problems.

Start from scratch and build multiple practical LLM applications using LangChain. Learn to:

  • Chat with your documents: Create intelligent systems that can answer questions based on your own files.
  • Summarize YouTube videos: Quickly extract key information from lengthy video content.
  • Build Agents that interact with Excel: Automate tasks and gain insights from your spreadsheets.

Through hands-on exercises and real-world projects, you'll master a variety of LLM solutions.

Course Topics:

  • LangChain Introduction: A foundational overview of LangChain.
  • Essential LangChain Modules: Deep dive into key components.
  • Prompts: Mastering PromptTemplate for effective LLM interaction.
  • LLMs: Working with OpenAI and other LLMs.
  • Chains: Building powerful workflows with LLMChain, RetrievalQA Chain, and QA Chain.
  • Agents: Creating intelligent Agents with create_csv_agent for complex tasks.
  • Tools: Leveraging tools like llm_math and serpapi to enhance LLM capabilities.
  • Memory: Implement conversationalBufferMemory for context-aware conversations.
  • Vector Databases: Utilizing Pinecone and Chroma for efficient data retrieval.

Practical Projects:

This course culminates in practical projects to solidify your understanding:

  • DocGPT: Build a system to chat with your own documents.
  • YoutubeGPT: Summarize YouTube video transcripts and key takeaways.

Throughout the course, you'll engage in practical exercises and build real-world projects to deepen your understanding of the concepts and technologies covered.

By the end of this course, you'll be proficient in using LangChain to create powerful, efficient, and versatile LLM applications for a wide range of purposes. Start building the future of AI today!

$ whoami — the devs behind tutorialsearch.io

Want AI in your product? Hire the team behind TutorialSearch.io

LLM features, RAG, agents and automation wired into a real product — built by the devs who shipped this site.