Home 浏览课程 AI & Machine Learning Building AI Agents with LangChain
Free course English 认证证书 Beginner #ai #machine learning #chatgpt #automation #building #agents #langchain #professionals

Building AI Agents with LangChain

In this course, you’ll learn how to build practical AI agents with LangChain, step by step. You’ll start with the basics of LLM apps, then move through prompts, tools, memory, retrieval, and agent workflows, ending with deployment and safety.

5.0 (3 ratings)
106 learners enrolled
555 views
30 lessons
~15 min total
Self-paced, lifetime access

这门课程是关于什么的?

This beginner-friendly course helps working professionals learn how to design, build, and evaluate practical AI agents with LangChain. Starting from the fundamentals of LLM applications, you will progress through prompts, chains, tools, memory, retrieval, and agent workflows, then finish with deployment, safety, and best practices. Each module begins with a short introduction, uses real-world examples, and each lesson ends with practical exercises you can complete in 5-15 minutes. The course is hands-on, clear, and focused on building useful solutions step by step.

这门课程的关键信息是什么?

价格 Free
证书 认证证书
时长 15 min
课程单元 30
语言 English
级别 Beginner
考试 Self-paced, lifetime access

Curriculum

6 modules · 30 lessons

1
Module 1: Getting Started with LangChain and AI Agents
5 lessons
  • What AI Agents Are and Where LangChain Fits
  • Core Concepts: Prompts, Models, Chains, and Tools
  • Setting Up Your Development Environment
  • Your First LangChain Application
  • How to Think Like a Builder: Problem, User, Output
2
Module 2: Prompting and Chain Design
5 lessons
  • Writing Clear Prompts for Reliable Results
  • Few-Shot Prompting and Examples
  • Structured Outputs and Formatting
  • Building Simple Chains
  • Testing and Improving Prompt Chains
3
Module 3: Memory and Conversation Management
5 lessons
  • Why Memory Matters in AI Agents
  • Types of Memory in LangChain
  • Designing Useful Conversation Flows
  • Preventing Memory Problems and Drift
  • Practical Memory Design for Business Agents
4
Module 4: Tools, Functions, and External Actions
5 lessons
  • What Tools Do in an AI Agent
  • Creating and Describing Tools Clearly
  • Calling Functions and Handling Results
  • Real-World Tool Examples
  • Safe Tool Use and Human Oversight
5
Module 5: Retrieval, Knowledge, and Grounded Answers
5 lessons
  • Why Retrieval Improves AI Answers
  • Working with Documents and Text Sources
  • Building a Simple Retrieval Workflow
  • Answering with Citations and Traceability
  • When Retrieval Fails and How to Improve It
6
Module 6: Building, Evaluating, and Deploying AI Agents
5 lessons
  • Planning a Complete Agent Solution
  • Testing Agent Behavior and Quality
  • Improving Reliability with Guardrails
  • Deploying for Real Users
  • Capstone: Design Your First Useful AI Agent

Certificate of completion

完成本课程后,您将解锁认证证书 — 可下载为 PDF,附带唯一编号和验证链接。

Each certificate has a unique verifiable link and QR code.

Frequently asked questions

Is this course free to start?

Yes. You can start learning this course for free.

Who is this course for?

This course is designed for learners who want practical, job-relevant skills and a structured path from basics to application.

Do I need prior experience?

No prior experience is required unless specific prerequisites are listed in the course requirements section.

How long does this course take?

The estimated total study time for this course is 15 min.

How does the certificate work?

完成本课程后,您可以下载带有唯一编号和公共验证链接的认证证书。

Learner reviews

5.0
3 ratings
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J
James W. Verified · 16 5月 2026

Finally got chains vs agents.

J
Jessica L. Verified · 6 1月 2026

Tools made sense

The part on tools and memory clicked for me, especially how they fit into a LangChain agent workflow. It felt practical right away.

R
Rachel T. Verified · 20 8月 2025

Clear on retrieval

I liked the retrieval module most. The examples made it easy to see how an agent can use external context instead of just guessing.

Learn more

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