Start your Machine Learning career!
Learn advanced machine learning techniques and algorithms and how to package and deploy your models to a production environment. Gain practical experience using Amazon SageMaker to deploy trained models to a web application and evaluate the performance of your models. A/B test models and learn how to update the models as you gather more data, an important skill in industry.
- 4 weeks of Technical training
- 2 weeks of career enablement
Get access to the classroom after passing the assessment
Check prerequisites in detail
What You Will Learn
Jobs you will able to work for
After graduating from this course, you will be able to join the market as
Extra Training of
Career Readiness Privileges
Watch our graduates’ stories!
Program Success Stories
Jirar KamelData Analysis Graduate (Challenger & Professional)
Ahmed El-SaddekData Analysis Graduate (Advanced & Expert)
Mina MakramWeb Development Graduate (Professional Track)
Abdelrahman MagdyFreelancer – Web Development Graduate (Professional & Advanced)
Ahmed GharibData Analysis Graduate (Challenger & Professional & Advanced)
Mohamed SamirDigital Marketing Graduate (Advanced Track)
Maha ZanatyDigital Marketing Graduate (Advanced Track)
Mohamed MahmoudWeb & Digital Marketing Graduate (Challenger – Professional)
Why should I enroll?
As more and more companies are looking to build machine learning products, there is a growing demand for engineers who are able to deploy machine learning models to global audiences. In this program, you’ll learn how to create an end-to-end machine learning product. You’ll deploy machine learning models to a production environment, such as a web application, and evaluate and update that model according to performance metrics. This program is designed to give you the advanced skills you need to become a machine learning engineer.