Practical Python for AI Coding 1

University of California, Santa Cruz via Coursera

Overview

Introduction video

This course is designed for complete novices in Python coding, requiring no prior knowledge or experience in software programming. It introduces and explains Python syntaxes, functions, and libraries that are frequently utilized in AI coding.

In addition, this course delves into essential syntaxes and functions often employed in AI projects, elucidating the complementary relationships among NumPy, Pandas, and TensorFlow. This makes the course valuable even for experienced Python users.

Participants will begin by setting up a reliable AI coding environment on their desktop or notebook computers. This setup is key to enabling learners to embark on AI modeling and coding using Scikit-learn, TensorFlow, and Keras upon course completion.

By the end of this course, learners will have an AI coding environment on their computers, eliminating the need for cloud-based services and allowing immediate application of their newfound skills.

University: University of California, Santa Cruz

Provider: Coursera

Categories: Artificial Intelligence Courses, Python Courses, TensorFlow Courses, scikit-learn Courses, Keras Courses