Solve Business Problems with AI and Machine Learning (Coursera)

Solve Business Problems with AI and Machine Learning (Coursera)
Course Auditing
Categories
Effort
Certification
Languages
A high-level understanding of fundamental AI concepts is required, and general business knowledge is preferred.
Misc

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Solve Business Problems with AI and Machine Learning (Coursera)
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. This is the first of four courses in the Certified Artificial Intelligence Practitioner (CAIP) professional certification. This course is meant as an entry point into the world of AI/ML. You'll learn about the business problems that AI/ML can solve, as well as the specific AI/ML technologies that can solve them. In addition, you'll get an overview of the general workflow involved in machine learning, as well as the tools and other resources that support it.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

This course also promotes the importance of ethics in AI/ML, and provides you with techniques for addressing ethical challenges.

Ultimately, this course will get you thinking about the "why?" of AI/ML, and it will ensure that your more technical work in later courses is done with clear business goals in mind.


What You Will 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.


Course 1 of 5 in the Certified Artificial Intelligence Practitioner Specialization


Syllabus


WEEK 1

Apply AI and ML to Business Problems

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.


WEEK 2

Select Appropriate Tools

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.


WEEK 3

Promote Data Privacy and Ethical Practices

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.


WEEK 4

Apply What You've Learned

You'll work on a project in which you'll apply your knowledge of the material in this course to practical scenarios.



0
No votes yet

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Course Auditing
41.00 EUR/month
A high-level understanding of fundamental AI concepts is required, and general business knowledge is preferred.

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.