About This Course
Self-driving cars, facial recognition, web search, missile guidance, and tumor detection are all complex real-world problems being solved with AI. This course provides a broad foundation to the foundational requirements, applications and careers associated with AI. You will learn about the history of AI and the role that relational databases, statistics and Python play in AI development.In this course, you will learn the many technologies that prepare you for a career working with artificial intelligence (AI) systems. You will be exposed to Python, the most widely used AI programming language. In addition, this course will teach you the basics of relational databases and algorithms. To top it off, you will learn about the concepts and tools used with digital visualization.
What You Will Learn
• Evaluate AI trends and career opportunities
• Understand how AI impacts business
• Experience Python as an AI Tool
• Create data visualizations with Python
• Evaluate the different forms of graphs
• Understand the impact that statistics has on AI research
• Evaluate the fundamentals of SQL and data structures
Who should take this course for?
The target candidate for this course is the individual looking to gain a better understanding of Artificial Intelligence technologies and concepts. These skills are critical across every stage of advancement, from the college graduate looking to land their first career job, to an experienced developer looking to increase their AI skills.
• Basic math skills
• Basic computer skills
Frequently Asked Questions
What web browser should I use?
The Open edX platform works best with current versions of Chrome, Edge, Firefox, or Safari.
Do I need any special software?
No, there is no special software that you need prior to taking the course. There is software that you will download in order to run the Jupyter Labs. Instructions for this is provided in the course.
Do I need to know how to code?
No, but some coding experience would be helpful. One of the courses is working with the Python language and the exercises provide a step-by-step process walkthrough.
For more Information you can watch the video,
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