Claude Agent SDK: Build Your First AI Agent in 30 Minutes (4 Steps)

Learn how to build your first AI agent with Claude Agent SDK. This beginner-friendly tutorial walks you through building an autonomous agent that can research topics, make decisions, and complete tasks. No coding experience required.

What is an AI agent? An agent is an LLM with tools that runs in a loop. Unlike ChatGPT which responds to single queries, AI agents work autonomously toward goals. They gather context, take action using tools, verify their work, and repeat until the task is complete. All without you babysitting every step.

In this video, you will learn the fundamentals of AI agents and how to build your own using Claude Agent SDK. We will walk through a progressive build process, starting with simple Q&A and evolving into a fully autonomous agent. Each step adds one new concept, so by the end you will have a working agent that can handle complex tasks independently.

The Claude Agent SDK is the same agent harness that Anthropic uses for Claude Code. It provides everything you need to build agents: LLM connection, tool integration, and automatic agent loop management. Whether you want to build a research assistant, travel planning agent, or custom automation, the building blocks are the same.

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You will learn how to:
Understand what AI agents are and how they differ from chatbots
Set up Claude Agent SDK with Python (no coding experience needed)
Build a progressive agent: from simple Q&A to autonomous assistant
Add memory and conversation context to your agent
Equip your agent with tools for real-world interaction
Create the autonomous agent loop that makes it work independently
Build a working travel planning agent (or customize for your needs)

⏱ Timestamps
00:00 – Introduction: Building Your First AI Agent (No Coding Required!)
00:53 – Core Concept: LLM + Tools + Loop = Autonomous Agent
01:57 – Deep Dive: What Makes an AI Agent Different from Chatbots?
05:08 – The 4-Step Framework: From Simple Q&A to Autonomous Agent
05:43 – Claude Agent SDK Overview: The Framework We're Using Today
08:20 – Agent Framework Landscape: Claude, OpenAI, LangGraph & More
12:40 – Quick Setup: Installing Claude Agent SDK (Python)
13:14 – Build Plan: Four Progressive Steps Explained
14:21 – Step 1: Foundation - Building a Simple Q&A Agent
16:56 – Step 2: Adding Memory - Making Your Agent Conversational
18:28 – Step 3: Adding Tools - Giving Your Agent Real-World Capabilities
25:01 – Step 4: The Agent Loop - Creating an Autonomous Agent
29:06 – Recap & Next Steps: What You Built & Where to Go From Here

This is video 1 in our Agent Build Series. In upcoming videos, we will cover building agents with other framworks such as OpenAI AgentKit, LangGraph, CrewAI, and deploying agents to production. We will also explore advanced patterns like multi-agent systems, persistent memory, and real-world deployment strategies.

The Claude Agent SDK makes building agents simple because it handles conversation management, automatic tool-calling loops, and streaming responses. What used to take hundreds of lines of boilerplate code now takes just a few lines. You can focus on building your agent's capabilities rather than reinventing the wheel.

More AI agent videos:

Resources:
Get started with Claude Agent SDK:
https://www.anthropic.com/engineering...
https://docs.claude.com/en/docs/agent...

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