Our Courses

Sustainable Food Security: The value of systems thinking

Sustainable Food Security: The value of systems thinking

Learn how to solve the 'Rubik's cube' of systems thinking and how it's applied to improve the environmental sustainability of food production systems!

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  • 35
  • English
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Managing Machine Learning Projecacts

Managing Machine Learning Projects

This second course of the AI Product Management Specialization by Duke University's Pratt School of Engineering focuses on the practical aspects of managing machine learning projects. The course walks through the keys steps of a ML project from how to identify good opportunities for ML through data collection, model building, deployment, and monitoring and maintenance of production systems.

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  • 18 hours
  • English
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Monitoring & Telemetry for Production Systems

Monitoring & Telemetry for Production Systems

Monitoring & Telemetry for Production Systems is a concise guided project about various methods of monitoring Production Servers to ensure Reliability of Web Services, Sites, Servers and Applications.

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  • 3 hours
  • English
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Feeding the World

Feeding the World

This course will explore the concepts driving current food production science (population growth, urbanization, emerging affluence, resource constraints, and underlying biological limits) with the main focus on livestock production. Each of the major food animal species (dairy, swine, beef, and poultry) will be covered in terms of their universal life cycles, constraints to production and emerging societal issues.

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  • Self Paced
  • 20 hours
  • English
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Dairy Production and Management

Dairy Production and Management

With the world's first MOOOOO-C, you will gain a broad and comprehensive understanding of all aspects of dairy management such as genetics, nutrition, reproduction, animal health, farm economics, and sustainability of dairy production systems. There's something here for everyone whether you are just looking for the basics or have years of experience in the dairy industry. This is an eight-week course. Each week consists of four to nine video lectures, additional reading materials, and a multiple-choice questions quiz. Estimated study time is between three and five hours per week.

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  • Self Paced
  • 76 hours
  • English
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