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Instructor: Isabella C.F.S Condotta
Included with 
Recommended experience
Recommended experience
Discover how AI technologies like IoT and data analytics can boost efficiency and productivity in dairy farming.
Learn to identify, collect, and manage dairy farming data using modern tools and software.
Gain the ability to use machine learning algorithms to analyze dairy farming data and enhance farming practices.
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March 2025
6 assignments
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In the course orientation, you will become familiar with the course, your classmates, and our learning environment. The orientation will also help you obtain the technical skills required for the course. Then dive into the second part of this module which introduces key AI technologies and their applications in dairy farming. You will explore how data analysis and IoT are transforming dairy practices, along with the advantages and challenges of AI implementation.
13 videos6 readings2 assignments1 discussion prompt
This module focuses on the types of data collected in dairy farming and their significance. You will learn about traditional and modern methods of data collection, best practices for effective data management, and various tools and software used for managing dairy data. The importance of maintaining high-quality data in dairy farming will also be highlighted.
10 videos2 readings1 assignment
This module delves into the fundamentals of machine learning, including supervised and unsupervised learning techniques, and their relevance to dairy data. You will learn the steps to apply machine learning algorithms in dairy farming, with practical examples and real-world applications of AI in this field.
10 videos1 reading1 assignment
This module explores predictive analytics and its importance in dairy farming. You will learn about building predictive models, decision support systems, and emerging AI trends in the field. At the conclusion of this module, you will be ready to complete the final assessment for the course and earn your Coursera certificate!
11 videos6 readings2 assignments
University of Illinois Urbana-Champaign
The Pennsylvania State University
University of Illinois Urbana-Champaign
University of Illinois Urbana-Champaign
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Yes! Although completion of the Coursera course alone is not credit-bearing, it is a required component of a graduate-level Canvas course that can be "stacked" toward advanced credentials such as an academic (transcriptable) graduate certificate or a degree. If you decide to pursue further education, the credits you earn from this course can be applied toward a formal academic program, provided that you meet all the requirements of admission to the certificate or degree.
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Financial aid available,
