Artificial Intelligence & Machine Learning Requirements (2)

Are you excited to start your journey into Artificial Intelligence (AI) and Machine Learning (ML) but unsure where to begin?
This course — Artificial Intelligence & Machine Learning Requirements (2) — is your fast track to mastering the essential Python tools that power today’s AI and data-driven technologies.

In this course, you’ll dive into two of the most important Python libraries for AI: Matplotlib and NumPy.
The Matplotlib section is a complete hands-on guide where you’ll learn to visualize your data like a pro. From simple line charts to advanced subplots and grid customization, you’ll gain the skills to transform raw data into meaningful visual stories. You’ll also explore bar charts, pie charts, scatter plots, and histograms — everything you need to start building visual dashboards.

Next, the NumPy section introduces you to the heart of scientific computing in Python. You’ll master multidimensional arrays, slicing, arithmetic operations, broadcasting, and filtering techniques — all essential for data preprocessing and manipulation in AI and ML projects.

By the end of this course, you’ll not only understand the building blocks of data analysis but also have the confidence to apply these skills in real-world AI and machine learning applications. Whether you’re a beginner or looking to strengthen your Python foundation, this course will prepare you for more advanced topics like deep learning and predictive modeling.