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AI Programming with Python, the name of an artificial intelligence training course learning the basics of building neural networks including Python programming tools, NumPy, pandas, Matplotlib, PyTorch, mathematics including differential and linear algebra, as well as key neural network techniques (gradient descent and backpropagation). With real-world projects and floating content prepared in collaboration with our top partner companies, you will become proficient in the skills that companies need.
Real-world projects developed with the help of industry experts
Browse projects
Tests to assess your knowledge
Publisher: Udacity Teachers: Ortal Arel, Luis Serrano, Jennifer Staab, Juan Delgado, Grant Sanderson, Mat Leonard, Mike Yi, Juno Lee English language Level of training: basic to advanced Number of lessons: 376 Duration: 17 hours and 9 minutes
Course 1: Introduction to Python
Why Python Programming
Data Types and Operators
Control Flow
Functions
Scripting
Classes
Course 2: Anaconda, Jupyter Notebook, NumPy, Pandas, and Matplotlib
Anaconda
Jupyter Notebooks
Numpy Basics
Pandas Basics
Matplotlib Basics
Course 3: Linear Algebra Essentials
Introduction
Vectors
Linear Combination
Linear Transformation and Matrices
Linear Algebra in Neural Networks
Labs
Course 4: Calculus Essentials
Introduction
Derivatives Through Geometry
Chain Rule and Dot Product
More on Derivatives
Limits
Integration
Calculus in Neural Networks
Course 5: Neural Networks
Introduction to Neural Networks
Training Neural Networks
Deep Learning with Pytorch
General Requirements
Basic computer skills like managing files, navigating the Internet, and running programs will be useful.
Basic algebra, and programming knowledge in any language.
Hardware Requirements
Computer running OS X or Windows
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