Machine Learning Engineer, co-created with Kaggle & AWS
Skills Covered: Machine Learning, Supervised Learning, Unsupervised Learning, Deep Learning, Software Engineering
ABOUT THIS NANODEGREE
The Machine Learning Engineer course has been created mainly for data engineers, data scientists, and software engineers. It focuses especially on the engineering part of machine learning.
Throughout the program, you will learn how to deploy machine learning models in production on AWS. You will also have a chance to do many beta tests and work on versioning. The experts will show you how to apply the machine learning skills to a variety of real-world tasks – you will explore data and deploy Amazon SageMaker models. You will also advance Supervised, Unsupervised, and Deep Learning fundamentals. In the end, you will choose a machine learning challenge and find a solution. The course takes around three months to complete.
The program is considered to be at the intermediate level, it’s recommended that you have prior experience with Python programming and machine learning algorithms. Otherwise, it might be difficult for you to succeed.
Machine Learning as a part of AI is one of the fastest-growing and most transformational technologies of our time, with 2.3 million new jobs opening up by 2020.
Spend 5 to 10 hours per week to advance your career.