Practical Python for AI Coding 2

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. It meticulously selects, introduces, and explains Python syntaxes, functions, and libraries frequently used in AI coding. Additionally, vital syntaxes and functions often utilized in AI programming are covered, highlighting the complementary relationship among NumPy, Pandas, and TensorFlow.

Even seasoned Python users will find this course beneficial. It starts by building a fail-proof AI coding environment on learners' desktop or notebook computers, enabling them to kickstart AI modeling and coding with Scikit-learn, TensorFlow, and Keras upon completion.

Upon completing this course, learners will have a fully functional AI coding environment on their computers, eliminating the need to join or use cloud-based services.

University: University of California, Santa Cruz
Provider: Coursera

Category Tags: Artificial Intelligence Courses, Python Courses, Data Visualization Courses, Seaborn Courses