Generative AI for Business Leaders
Advertising with Meta
How Google does Machine Learning
دوراتنا
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!
-
Course by
-
35
-
الإنجليزية
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.
-
Course by
-
18 ساعات
-
الإنجليزية
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.
This guided-project introduces you to Monitoring & Telemetry for Production Systems. The tasks comprising this project demonstrate how Production Servers and Applications are monitored and the tools used in the process.
-
Course by
-
Self Paced
-
3 ساعات
-
الإنجليزية
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.
-
Course by
-
Self Paced
-
20 ساعات
-
الإنجليزية
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.
-
Course by
-
Self Paced
-
76 ساعات
-
الإنجليزية