Artificial intelligence (AI) and machine learning (ML) have become an essential part of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services.
Solve Business Problems with AI and Machine Learning
This course is part of CertNexus Certified Artificial Intelligence Practitioner Professional Certificate
Instructor: Renée Cummings
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What you'll learn
Identify appropriate applications of AI and machine learning within a given business situation.
Formulate a machine learning approach to solve specific business problems.
Select appropriate tools to solve given machine learning problems.
Protect data privacy and promote ethical practices when developing and deploying AI and machine learning projects.
Skills you'll gain
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There are 4 modules in this course
Deep learning, machine learning (ML), and other forms of artificial intelligence (AI) are on the rise. Organizations use these technologies to inform business decisions and guide operations—often with profound results. However, it can be challenging to identify which business problems are most amenable to these technologies. In this first module, you'll begin exploring AI and ML as solutions to these problems.
What's included
18 videos4 readings1 assignment4 peer reviews1 discussion prompt
The second module in this course provides an overview of software and hardware tools that are commonly used to implement and/or support AI and machine learning techniques. Even if you won't end up trying every tool out there, it's important to be informed about your options so that you'll make better decisions when it comes time to select tools for your own environment.
What's included
4 videos6 readings2 assignments1 discussion prompt
As AI and machine learning have the potential to revolutionize business, so too will they bring significant changes to society and the individuals in that society. It's vital that anyone involved in developing such technologies, including practitioners, is prepared to handle the ethical risks that arise. In this module, you'll explore those ethical risks, as well as strategies for mitigating such risks.
What's included
16 videos5 readings1 assignment4 peer reviews1 discussion prompt
You'll work on a project in which you'll apply your knowledge of the material in this course to practical scenarios.
What's included
1 peer review
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Fractal Analytics
University of Pennsylvania
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Amazon Web Services
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