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Featured byColumbia University - ColumbiaX
Overview
What do self-driving cars, face recognition, web search, industrial robots, missile guidance, and tumor detection have in common?
They are all complex real world problems being solved with applications of intelligence (AI).
This course will provide a broad understanding of the basic techniques for building intelligent computer systems and an understanding of how AI is applied to problems.
In this Artificial Intelligence (AI) course, part of the Artificial Intelligence MicroMasters program from Columbia University - ColumbiaX you will learn about the history of AI, intelligent agents, state-space problem representations, uninformed and heuristic search, game playing, logical agents, and constraint satisfaction problems.
What you'll learn
- Introduction to Artificial Intelligence and intelligent agents, history of Artificial Intelligence
- Building intelligent agents (search, games, logic, constraint satisfaction problems)
- Machine Learning algorithms
- Applications of AI (Natural Language Processing, Robotics/Vision)
- Solving real AI problems through programming with Python
Hands on experience will be gained by building a basic search agent. Adversarial search will be explored through the creation of a game and an introduction to machine learning includes work on linear regression.
The Artificial Intelligence (AI) programme is part of the Artifiacial Inteligence MicroMasters Programme.
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Visit official programme websiteProgramme Structure
Courses include:
- Intelligent agents, uninformed search
- Heuristic search, A* algorithm
- Adversarial search, games
- Constraint Satisfaction Problems
- Machine Learning: Basic concepts, linear models, perceptron, K nearest neighbors
- Machine Learning: advanced models, neural networks, SVMs, decision trees and unsupervised learning
- Markov decision processes and reinforcement learning
Check out the full curriculum
Visit official programme websiteKey information
Duration
- Part-time
- 3 months
- 8 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Disciplines
Computer Sciences Artificial Intelligence Machine Learning View 78 other Short Courses in Artificial Intelligence in United StatesExplore more key information
Visit official programme websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Students are required to have some basic of Python programming and an understanding of probability. Homework assignments will have a programming component in Python. The course offers an excellent opportunity for students to dive into Python while solving AI problems and learning its applications.
- Linear algebra (vectors, matrices, derivatives)
- Calculus
- Basic probability theory
- Python programming
Make sure you meet all requirements
Visit official programme websiteTuition Fee
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International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 3 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 3 months.
Add a Verified Certificate for $249 USD
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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