AI Agents For Beginners – OpenClaw Case Study

From the creator

AI can feel overwhelming, but this hands-on course makes it practical, approachable, and fun. You will start with AI fundamentals and model mechanics like transformers and tokens, before moving into the architecture of tools, workflows, and true agents. You will build and experiment with four distinct agents, seeing firsthand how single agents evolve into a multi-agent system. Finally, you will learn how OpenClaw woks to gain the confidence needed to design, build, test, and deploy real-world AI agents. Course resources: https://kode.wiki/3SrN8GO Course created by @KodeKloud ❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp Chapters Section 1 & 2: LLM & Core Concepts - 00:00:00 Course Welcome & Architecture Fundamentals - 00:07:54 Hallucinations, Model Evolution, & Competitors - 00:15:23 Developer Fundamentals & Working with APIs - 00:17:54 Token Economics & Managing Context Windows - 00:31:13 API Message Roles & Prompt Engineering Nuances Section 3 & 4: Code Setup & Tool Architecture - 00:38:29 Hands-On Lab: Practice Labs & First API Call - 00:45:01 Multi-Turn History, API Costs, & Trade-offs - 00:51:08 Architecture Overview: Tool Schemas & Execution Loops - 00:58:20 Predefined AI Workflows vs. Autonomous Agents Section 5: Building Agents from Scratch - 01:08:16 The Core Loop: Perceive, Reason, Act - 01:13:15 Hands-On Lab: Engineering the Standard `While` Loop -

Published 2026-07-07 · Watch on YouTube ↗
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