Free Course
Artificial Intelligence
by
Offered at Georgia Tech as CS 6601
Nanodegree Program
Artificial Intelligence
Expand Your Knowledge of Artificial Intelligence
Accelerate your career with the credential that fast-tracks you to job success.
About this Course
Learn about the fundamentals of Artificial Intelligence in this introductory graduate-level course. It provides a survey of various topics in the field along with in-depth discussion of foundational concepts such as classical search, probability, machine learning, logic and planning.
Course Cost
Free
Timeline
Approx. 4 months
Skill Level
intermediate
Included in Product
Rich Learning Content
Interactive Quizzes
Taught by Industry Pros
Self-Paced Learning
Student Support Community
Join the Path to Greatness
This course is your first step towards a new career with the Artificial Intelligence Program.
Free Course
Artificial Intelligence
Enhance your skill set and boost your hirability through innovative, independent learning.
Course Leads
Thad Starner
Instructor
What You Will Learn
lesson 1
Search
- Game Playing
- Basics of Search
- Logic and Planning
lesson 2
Constraints and Bayes Nets
- Constraint Satisfaction
- Probability
- Bayes Nets
lesson 3
Basics of Machine Learning
- Simulated Annealing
- Machine Learning
- Pattern Recognition through Time
Prerequisites and Requirements
Undergraduate computer algorithm and data structures courses that cover O notation, time and space constraints; working knowledge of college level mathematics such as calculus, probability, and linear algebra. You will also need to be familiar with Python and be comfortable making modifications to large programs.
Please review the following questions, if you answer "no" to any of them you may want to refresh your knowledge or practice the required skills prior to taking the class:
- Are you comfortable programming in Python, including IPython notebooks? If not, are you comfortable in learning a language within the first week of class?
- Have you taken several classes that required intensive programming?
- Have you taken algorithms and data structures courses?
- Are you prepared to spend at least 9 hours a week on this class?
See the Technology Requirements for using Udacity.
Why Take This Course
Artificial Intelligence is poised to become one of the most revolutionary technologies of our time. We interact with intelligent systems and services in various forms, including apps on our phones, websites, devices, etc. With that, the demand for AI Engineers is on the rise. Take this course to understand the fundamental concepts and algorithms behind artificial intelligence, and learn to apply them to various real-world problems including game playing, navigation, sign-language recognition, et al.
What do I get?
Free Course
Artificial Intelligence
by
Offered at Georgia Tech as CS 6601
Nanodegree Program
Artificial Intelligence
Expand Your Knowledge of Artificial Intelligence
Accelerate your career with the credential that fast-tracks you to job success.
About this Course
Learn about the fundamentals of Artificial Intelligence in this introductory graduate-level course. It provides a survey of various topics in the field along with in-depth discussion of foundational concepts such as classical search, probability, machine learning, logic and planning.
Course Cost
Free
Timeline
Approx. 4 months
Skill Level
intermediate
Included in Product
Rich Learning Content
Interactive Quizzes
Taught by Industry Pros
Self-Paced Learning
Student Support Community
Join the Path to Greatness
This course is your first step towards a new career with the Artificial Intelligence Program.
Free Course
Artificial Intelligence
Enhance your skill set and boost your hirability through innovative, independent learning.
Course Leads
Thad Starner
Instructor
What You Will Learn
lesson 1
Search
- Game Playing
- Basics of Search
- Logic and Planning
lesson 2
Constraints and Bayes Nets
- Constraint Satisfaction
- Probability
- Bayes Nets
lesson 3
Basics of Machine Learning
- Simulated Annealing
- Machine Learning
- Pattern Recognition through Time
Prerequisites and Requirements
Undergraduate computer algorithm and data structures courses that cover O notation, time and space constraints; working knowledge of college level mathematics such as calculus, probability, and linear algebra. You will also need to be familiar with Python and be comfortable making modifications to large programs.
Please review the following questions, if you answer "no" to any of them you may want to refresh your knowledge or practice the required skills prior to taking the class:
- Are you comfortable programming in Python, including IPython notebooks? If not, are you comfortable in learning a language within the first week of class?
- Have you taken several classes that required intensive programming?
- Have you taken algorithms and data structures courses?
- Are you prepared to spend at least 9 hours a week on this class?
See the Technology Requirements for using Udacity.
Why Take This Course
Artificial Intelligence is poised to become one of the most revolutionary technologies of our time. We interact with intelligent systems and services in various forms, including apps on our phones, websites, devices, etc. With that, the demand for AI Engineers is on the rise. Take this course to understand the fundamental concepts and algorithms behind artificial intelligence, and learn to apply them to various real-world problems including game playing, navigation, sign-language recognition, et al.