Python Foundations for AI Engineering

Transition from Java basics to mastering the high-performance Python patterns and frameworks required to build, deploy, and scale professional AI systems and large language model applications. * **Advanced Python patterns** for scalable AI system architecture * **LLM integration frameworks** like LangChain and LlamaIndex * **Production-ready deployment** of machine learning models * **Asynchronous programming** for high-performance AI applications

5 sections ยท 21 lessons

Course outline

Python Basics

  1. Variables
  2. Data Types
  3. Control Flow
  4. Functions

Data Structures

  1. Lists
  2. Dictionaries
  3. Tuples
  4. Sets
  5. Fast Data Filtering with Sets
  6. Data Structures

Modules

  1. Packages
  2. Pip
  3. Virtual Environments
  4. File I/O

AI Foundations

  1. NumPy Basics
  2. Pandas Intro
  3. API Requests
  4. JSON Handling

Deployment Basics

  1. Error Handling
  2. Async Programming
  3. Environment Variables
  4. Docker Basics

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