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
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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Gain insight into a topic and learn the fundamentals.
4.3
(74 reviews)
Intermediate level
Recommended experience
11 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
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
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
4 assignments
Taught in English
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This course is part of the CertNexus Certified Artificial Intelligence Practitioner Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
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- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
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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
Instructor
Instructor ratings
4.2 (30 ratings)Offered by
Recommended if you're interested in Machine Learning
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University of Virginia
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4.3
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MM
5
Reviewed on Jun 1, 2021
I had fun and i enjoyed it and i am hungry for more!
RJ
5
Reviewed on Oct 1, 2023
content was easy and very well structured, Presentation was good, looking forward to learn more courses
AP
4
Reviewed on Aug 22, 2024
This course gives you the foundational knowledge to apply AI to solve business problems. Its very practical course
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