Artificial Intelligence (AI)
Objective
In this program, you’ll learn all the foundational skills necessary to start using AI techniques and developing your skills in programming, linear algebra, and neural networks. A graduate of this program will gain essential Knowledge of
- Programming tools Python, Numpy, Pytorch.
- Calculus and linear algebra applications.
- Key techniques of neural networks.
This program is comprised of four modules and four projects. Each project presents an opportunity to demonstrate mastery of lesson content.
Pre- Requisite:
Basic calculus knowledge, including how to calculate derivatives and basic algebra.
Hardware/Software Required:
Computer running OS X or Windows.
Module 1
- Why Python?
- Data Types And Operators
- Control Flow
- Functions
- Scripting
- CLASSES
Module 2
- Anaconda
- Jupyter Notebooks
- NumPy Basics
- Pandas Basics
- Matplotlib Basics
Module 3
- Introduction
- Vectors
- Linear Combination
- Linear Transformation And Matrices
- Linear Algebra In Neural Networks
- Labs
Module 4
- Introduction
- Derivates Through Geometry
- Chain Rule and Dot Product
- More On Derivatives
- Limits
- Integration
- Calculus In Neural Networks
Module 5
- Introduction to Neural Networks
- Training Neural Networks
- Deep Learning with Pytorch
