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LABBEGINNER

Python AI Development Environment

Set up a Python environment for AI development with ML frameworks and LLM clients.

45 minutes
ai-bootcamp
Python AI Development Environment - Platform Engineering Hands-On Lab Icon

Lab Overview

In this lab, you'll configure a complete Python development environment for AI work.

You'll learn to:

  • Create and manage Python virtual environments
  • Install essential ML frameworks (PyTorch, NumPy, Pandas)
  • Set up LLM client libraries (OpenAI, Anthropic, LangChain)
  • Build a simple LLM client with streaming responses

Prerequisites:

  • Basic Python programming knowledge
  • Understanding of virtual environments

Key Concepts:

  • Python packaging and dependency management
  • ML framework installation patterns
  • Async programming basics for LLM clients

What You'll Learn

Create isolated Python virtual environments

Install and verify ML framework installations

Configure LLM client libraries

Build a basic LLM client application

Prerequisites

basic-python

command-line-basics

Technologies Covered

pythonaidevelopmentenvironmentllm

Part of a Course

This lab is part of the AI Foundations for Infrastructure Engineers course

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