Lesson 1
Welcome to Artificial Intelligence
Welcome to Introduction to Artificial Intelligence!
Introduction to Artificial Intelligence
Course
In this course, you'll learn about the foundations of AI. You'll configure your programming environment to work on AI problems with Python. At the end of the course you'll build a Sudoku solver and solve constraint satisfaction problems.
In this course, you'll learn about the foundations of AI. You'll configure your programming environment to work on AI problems with Python. At the end of the course you'll build a Sudoku solver and solve constraint satisfaction problems.
4 weeks
Real-world Projects
Completion Certificate
Last Updated January 25, 2023
No experience required
Course Lessons
Lesson 2
Introduction to Artificial Intelligence
An introduction to basic AI concepts and the challenge of answering "what is AI?"
Lesson 3
Solving Sudoku With AI
In this lesson, you'll dive right in and apply Artificial Intelligence to solve every Sudoku puzzle.
Lesson 4
Setting Up Your Environment and Workspaces
If you do not want to use Workspaces, then follow these instructions to set up your own system using Anaconda, a popular tool to manage your environments and packages in python.
Lesson 5 • Project
Build a Sudoku Solver
Use constraint propagation and search to build an agent that reasons like a human would to efficiently solve any Sudoku puzzle.
Lesson 6
Constraint Satisfaction Problems
Expand from the constraint propagation technique used in the Sudoku project to the Constraint Satisfaction Problem framework that can be used to solve a wide range of general problems.
Taught By The Best
Arpan Chakraborty
Instructor
Arpan is a computer scientist with a PhD from North Carolina State University. He teaches at Georgia Tech (within the Masters in Computer Science program), and is a coauthor of the book Practical Graph Mining with R.
David Joyner
Instructor
Thad Starner
Professor of Computer Science, Georgia Tech
Thad Starner is the director of the Contextual Computing Group (CCG) at Georgia Tech and is also the longest-serving Technical Lead/Manager on Google's Glass project.
Taught By The Best
Arpan Chakraborty
Instructor
Arpan is a computer scientist with a PhD from North Carolina State University. He teaches at Georgia Tech (within the Masters in Computer Science program), and is a coauthor of the book Practical Graph Mining with R.
David Joyner
Instructor
Thad Starner
Professor of Computer Science, Georgia Tech
Thad Starner is the director of the Contextual Computing Group (CCG) at Georgia Tech and is also the longest-serving Technical Lead/Manager on Google's Glass project.
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Introduction to Artificial Intelligence