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Agentic AI in Practice: From LangGraph to OpenClaw 2026-3

Updated July 15, 2026

Udemy — Agentic AI in Practice: From LangGraph to OpenClaw 2026-3

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Description

Agentic AI in Practice: From LangGraph to OpenClaw 2026-3 is a Udemy course taught by Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin, Ligency ​. Language: English; Duration: 17 hours and 22 minutes; 163 lessons.

What you will learn

  • The material covers React.
  • The material covers LangGraph and LangChain.
  • The material covers RAG and memory.

Course specifications

Publisher
Udemy
Instructors
Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin, Ligency ​
Language
English
Level
Beginner to Advanced
Duration
17 hours and 22 minutes
Lecture count
163
Subtitle
None
Quality
720p
Edition
2026-3

Course topics

AI & DataVideo TutorialArtificial intelligence
View course topics
Course topics · Agentic AI in Practice: From LangGraph to OpenClaw 2026-3

Prerequisites

  • Familiarity with Python is recommended.
  • Familiarity with machine learning is recommended and optional.
  • A computer running VS Code, Python and Jupyter is listed as a prerequisite.
Pictures
Pictures · Agentic AI in Practice: From LangGraph to OpenClaw 2026-3

Introduction video

How to open the files

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Choose one edition and keep its parts together. Alternate providers are available when listed.

2026-3 · 720p · 1

Direct downloads

2026-3 · 720p

Archive password

Size

2 GB

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