Applied Data Science & Artificial Intelligence with Python

What if you could build something that could read a book for you and return a simple and easy-to-understand summary? Wouldn't that make school a little easier? Learn to build a network to do this along with some other great projects in this course! Students explore ways that AI is applied to data, tools, services, and how they can apply AI to their own projects.

In this course, students will learn to build neural networks to do various tasks! Students will explore ways that AI is applied to data, tools, services, and how they can apply AI to their own projects. This course builds on students' existing knowledge of the basics of Python and machine learning. Students will build a digital machine that can beat them at video games, and have the opportunity to build neural nets that understand and translate text.

IMPORTANT: This course is Part 2 of the DMA "Artificial Intelligence Academy". We strongly encourage students to take Part 1: "Intro to Artificial Intelligence & Machine Learning with Python" prior to this course.

Course Requirements

This course is a Digital Media Academy | Pro course and requires specific hardware/software requirements. Please click here to view and download requirements.

Learning Outcomes

Students will be able to…

• Write complex programs in Python
• Apply sophisticated data collection and processing techniques
• Understand and apply machine vision and image processing concepts
• Apply supervised and unsupervised machine learning techniques
• Apply Machine Learning to language processing and text analytics tasks

Students will create...

• Deep Neural Networks capable of playing simple games
• A statistical reinforcement learning algorithm capable of learning information about a simple game environment
• A Deep-Q network utilizing convolutional networks capable of playing classic Atari titles
• A variety of networks, including LSTM, capable of sentiment analysis in movie reviews
• Their own project using the experience gained throughout the course

Career Pathways 

Data Scientist, Market Analyst, Developer, Computer Scientist, Programmer, University Research