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Python for AI - Complete

Mastering Python applied to artificial intelligence, from the useful syntax to the scientific libraries.

Course duration: 8 hours​

What you will learn​

  • Write readable, reusable Python code to manipulate data
  • Use NumPy to vectorize computations instead of looping
  • Clean, join and aggregate datasets with pandas
  • Visualize a distribution and spot outliers
  • Organize a project in an isolated environment, with declared dependencies

Prerequisites​

  • Programming basics in any language
  • No prior Python knowledge required

Course modules​

  1. The Python syntax that actually matters in data science
  2. Data structures: lists, dictionaries, comprehensions
  3. Functions, modules and code organization
  4. NumPy: arrays, broadcasting and vectorized computation
  5. pandas: Series, DataFrame and indexing
  6. Data cleaning: missing values, duplicates, types
  7. Joins, grouping and pivot tables
  8. Visualization with Matplotlib and Seaborn
  9. Virtual environments, pip and dependency files
  10. Jupyter notebooks: best practices and traps to avoid

Assessment and certificate​

The course ends with a 40-question exam covering all the modules. Upon success, a certificate of completion is issued; its number can be verified on the platform.

Free courses, by contrast, end with a 5-question quiz and a certificate preview, without certification.