Data and Programming Foundations for AI

Overview

Learn the coding, data science, and math you need to get started as a Machine Learning or AI engineer. Includes **Python**, **Probability**, **Linear Algebra**, **Statistics**, **matplotlib**, **pandas**, and more.

Syllabus

• Welcome to Machine Learning/AI Engineering Foundations
See what you will learn in Machine Learning/AI Engineering Foundations!
• Principles of Data Literacy
Discover the world of data in this fully conceptual course where you will learn how to think about, visualize, and analyze data.
• Python Fundamentals for ML/AI Engineers (Part I)
Build a foundation in programming with Python!
• Python Fundamentals for ML/AI Engineers (Part II)
Continue building your Python Skills while applying them to real challenges including finding and working with real data.
• Portfolio Project: U.S. Medical Insurance
Use your understanding of Python syntax to sort and analyze data about U.S. medical insurance costs!
• Python Pandas for ML/AI Engineers
Learn how to use the Python pandas library and lambda functions.
• Exploratory Data Analysis in Python
Learn about exploratory data analysis (EDA) techniques for Data Science
• Math and Statistics for ML/AI Engineers
Learn the math and statistics behind many machine learning models
• ML/AI Engineering Foundations : Final Portfolio
Show off your knowledge of ML/AI Engineering Foundations by developing your final portfolio project on a topic of your choice.

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Subjects

Computer Science