A 100% online learning platform, Udacity is offering a free Artificial Intelligence course. Artificial intelligence (AI) is the ability of a computer or a robot controlled by a computer to do tasks that are usually done by humans because they require human intelligence and discernment.
About this course
Artificial Intelligence (AI) is a field that has a long history but is still constantly and actively growing and changing.
In this course, you’ll learn the basics of modern AI as well as some of the representative applications of AI. Along the way, we’ll also cover the numerous applications and huge possibilities in the field of AI, which continues to expand human capability beyond the imagination.
Prerequisites and Requirements
Some of the topics in Introduction to Artificial Intelligence will build on probability theory and linear algebra. You should have an understanding of probability theory comparable to that covered in the Intro to Statistics course.
Why take this course?
Artificial Intelligence (AI) technology is increasingly prevalent in everyday lives. It has uses in a variety of industries from gaming, journalism/media, to finance, as well as in the state-of-the-art research fields from robotics, medical diagnosis, and quantum science.
In this course, you’ll learn the basics and applications of AI, including machine learning, probabilistic reasoning, robotics, computer vision, and natural language processing.
- Skill level: Intermediate
- Estimated time: Approx. 4 Months
What you will learn?
- Fundamentals of AI
- Statistics, Uncertainty, and Bayes networks.
- Machine learning.
- Logic and planning.
Applications of AI
- Image processing and computer vision.
- Robotics and robot motion planning.
- Natural language processing and information retrieval.
- To know more about the course and apply click here.
Udacity has over a decade of experience creating digital talent at scale, Udacity’s comprehensive solutions address the global talent shortages impacting growth, productivity, and innovation.
The exceptional curriculum, personalized mentor support, and measurable outcomes create expertise with a focus on the in-demand competencies that ensure workplace relevance.
