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Developing Machine Learning Solutions

Learn the machine learning lifecycle, AWS services, model evaluation, and MLOps for streamlined ML project development and deployment.

Learn the machine learning lifecycle, AWS services, model evaluation, and MLOps for streamlined ML project development and deployment.

This course provides an overview of the machine learning lifecycle and how to leverage AWS services at each stage. Students will explore various sources for machine learning models and learn techniques to evaluate their performance. The course emphasizes the importance of machine learning operations (MLOps) in streamlining the development and deployment of machine learning projects. Through this concise yet comprehensive curriculum, learners will gain insights into the practical aspects of developing and implementing machine learning solutions in a cloud environment, specifically using AWS services.

5

(11 ratings)

Instructors:

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Developing Machine Learning Solutions

This course includes

1 Hour

Of Self-paced video lessons

Beginner Level

Free

What you'll learn

  • Understand the machine learning lifecycle and its key stages

  • Identify and utilize appropriate AWS services for each stage of the ML lifecycle

  • Explore various sources for machine learning models

  • Learn techniques to evaluate the performance of machine learning models

  • Understand the importance and application of MLOps in ML projects

  • Gain insights into streamlining ML development and deployment processes

Skills you'll gain

machine learning lifecycle
AWS services
model evaluation
MLOps
cloud computing
data science
ML project development
ML deployment

This course includes:

PreRecorded video

1 assignment

Access on Mobile, Tablet, Desktop

FullTime access

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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There is 1 module in this course

This course offers a comprehensive introduction to developing machine learning solutions using AWS services. It covers the entire machine learning lifecycle, from data preparation to model deployment and monitoring. Students will learn about different sources of machine learning models and techniques for evaluating their performance. The course also emphasizes the importance of machine learning operations (MLOps) in streamlining the development and deployment process. By the end of the course, learners will have a solid understanding of how to leverage AWS services to build and deploy machine learning solutions efficiently.

Developing Machine Learning Solutions

Module 1 · 1 Hours to complete

Fee Structure

Payment options

Financial Aid

Instructor

AWS Instructor
AWS Instructor

18,469 Students

130 Courses

Amazon Web Services

AWS is on a mission to accelerate the digital transformation of education in partnership with the full education community, including learners, educators, administrators, and researchers.

Developing Machine Learning Solutions

This course includes

1 Hour

Of Self-paced video lessons

Beginner Level

Free

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

5 course rating

11 ratings

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.