By completing this course, you will gain a solid understanding of the basics of AI and its role in dairy systems. You will learn to identify key data types used in dairy analytics, such as production, health, and nutrition data. Additionally, you will explore AI applications in various aspects of dairy systems and discuss current AI applications in the dairy industry.


Advancing Dairy Management with Artificial Intelligence
本课程是 Dairy Nutrition for Udder Success 专项课程 的一部分
包含在 中
您将学到什么
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.
您将获得的技能
要了解的详细信息

添加到您的领英档案
6 项作业
了解顶级公司的员工如何掌握热门技能

积累特定领域的专业知识
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书

该课程共有4个模块
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.
涵盖的内容
13个视频6篇阅读材料2个作业1个讨论话题
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.
涵盖的内容
10个视频2篇阅读材料1个作业
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.
涵盖的内容
10个视频1篇阅读材料1个作业
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!
涵盖的内容
11个视频6篇阅读材料2个作业
获得职业证书
将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。
位教师

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- 状态:免费试用
- 状态:免费试用
University of Illinois Urbana-Champaign
- 状态:免费试用
University of Illinois Urbana-Champaign
- 状态:免费试用
University of Illinois Urbana-Champaign
人们为什么选择 Coursera 来帮助自己实现职业发展




常见问题
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.
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. 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 enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
更多问题
提供助学金,