Become a Machine Learning Engineer, Learn Advanced Machine Learning Techniques and Algorithms: Udacity

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Become a Machine Learning Engineer, Learn advanced machine learning techniques and algorithms — including how to package and deploy your models to a production environment using this best selling Udacity Online Course.

Course Link: Become a Machine Learning Engineer

Learn advanced machine learning techniques and algorithms — including how to package and deploy your models to a production environment.

ESTIMATED TIME TO COMPLETE THIS COURSE: 3 months At 10 hrs/week

PREREQUISITES TO JOIN THIS MACHINE LEARNING COURSE

Intermediate Python programming knowledge, including:

  • At least 40 hours of programming experience
  • Familiarity with data structures like dictionaries and lists
  • Experience with libraries like NumPy and pandas

Intermediate knowledge of machine learning algorithms, including:

  • Supervised learning models, such as linear regression
  • Unsupervised models, such as k-means clustering
  • Deep learning models, such as neural networks

What You Will Learn in This Course:

SYLLABUS OF Machine Learning Engineer Course:

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 the industry.

This program is intended for students who already have knowledge of machine learning algorithms.