Description
Claude Agent SDK: Build Production AI Agents in Python is a course on building reliable, capable, and production-ready AI agents with Python and the Claude Agent SDK, published by Udemy Online Academy. Designed for AI engineers, Python developers, software engineers, and developers building agent-based applications, this course explores how to create agents that can reason through tasks, use tools, interact with external systems, manage context, and execute multi-stage workflows. Learners will work with agent configuration, tool integration, structured workflows, context and memory management, error handling, permissions, evaluation, observability, and deployment practices.
This course gives you programming access to the same engine, so you can build autonomous agents that read files, execute commands, search the web, ask users questions, and perform complex multi-step tasks—without writing a single line of tool execution logic yourself. Each coding session runs in Google Colab—click the link in the course resources and you’ll start coding right away. No local Python installation required, no virtual environments, no dependency hassles. Each session comes with a solution notebook hosted on GitHub. This course uses claude-haiku-4-5 by default—the fastest and most cost-effective Claude model—which keeps your API costs low while you learn. You can switch to any Claude model with a single variable change.
What you will learn in Claude Agent SDK: Build Production AI Agents in Python:
- Understand how the Claude Agent SDK works under the hood — the four components, the agent loop, pipe communication, and session management
- Write your first autonomous agent in Python using the query() call, async/await pattern, and message stream filtering in Google Colab
- Use every built-in tool the SDK provides — Read, Write, Edit, Bash, Monitor, Glob, Grep, WebSearch, WebFetch, and AskUserQuestion
- Build human-in-the-loop agents that pause mid-task, ask the user clarifying questions, and continue based on their answers using the can_use_tool callback
- Control agent permissions precisely using allowed_tools, disallowed_tools, and the five permission modes — and understand the 6-gate permission evaluation flow
- Block dangerous operations automatically using PreToolUse hooks — intercepting harmful Bash commands, sensitive path writes, and out-of-bounds file access
- Build three complete agents from scratch — a File Explorer Agent, a Codebase TODO Summarizer Agent, and a Safe Code Review Agent
- Apply production-safety patterns — multiple layers of protection including tool whitelisting, permission mode lockdown, and hook-based automated blocking
- and …
Course specifications
Publisher: Udemy
Instructors: Gopi Donthireddy
Language: English
Level: Introductory to Advanced
Number of Lessons: 22
Duration: 3h 30m
Course topics
Claude Agent SDK: Build Production AI Agents in Python Prerequisites
Basic Python knowledge — you should be comfortable writing functions, loops, variables, and basic file operations. No advanced Python needed.
A Google account — all coding is done in Google Colab. No local setup, no installations, no configuration required.
An Anthropic API key — the free tier is sufficient for completing this course.
No prior AI or machine learning experience needed — this course starts from zero and builds up progressively.
No prior experience with the Claude API or any other AI SDK needed — everything is taught from scratch.
No powerful hardware required — everything runs in the cloud via Google Colab.
Pictures
Claude Agent SDK: Build Production AI Agents in Python introduction video
Installation guide
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Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
2.9 GB