Nanodegree Machine Learning AWS
July 29, 2021 2024-10-07 23:54Nanodegree Machine Learning AWS
Advanced
Machine Learning Engineer AWS
Strengthen your Machine Learning skills and develop practical experience training, validating and evaluating models with Amazon Web Services
Included with – BAI Plus
Strengthen your Machine Learning skills and develop practical experience training, validating and evaluating models with Amazon Web Services
Machine Learning Engineer to drive your earnings
+$27K
Average salary increase of software engineering students who provided pre- and post-course salaries
September 2022
In this Machine Learning bootcamp you will:
Meet the growing demand for machine learning engineers and master the job-ready skills that will take your career to new heights.
Get an edge with human support
Work with a mentor, career coach, and more. They have your back and will hold you accountable.
Verify skills mastery
Project review cycle creates a feedback loop with multiple opportunities for improvement—until the concept is mastered.
Verify skills mastery
Learning accelerates as skilled mentors identify areas of achievement and potential for growth.
What will you learn
Fundamentals of Machine Learning on AWS
Machine Learning is a critical business operation for many organizations. Learn how to configure machine learning pipelines on AWS, identify use cases for automated machine learning, and use the AWS ML SDK to design, build, and manage machine learning pipelines on AWS.
Software Engineering Practices.
Programming.
Upload a Package to PyPI.
Course Project
Build a Python Package
Machine Learning in Production
Learn how to deploy machine learning models to a production environment using Amazon SageMaker.
Introduction to Deployment.
Deploy a Model.
Web Hosting.
Model Monitoring
Updating a Model.
Course Project
Deploy a Sentiment Analysis Model
Machine Learning Case Studies
Apply machine learning techniques to solve real-world tasks; explore data and deploy both built-in and
custom-made Amazon SageMaker models.
Population Segmentation with SageMaker.
Detecting Credit Card Fraud.
Deploying Custom Models.
Time-Series Forecasting.
Course Project
Plagiarism Detection Project
FINAL PROJECT
The program gives you the opportunity to use the knowledge gained from this Nanodegree program to solve an interesting problem. You will have to use AWS automated machine learning to solve a task. Finally, you will have to implement the model as a web service and test the endpoint of the model.
Course Project
Capstone Proposal and Project
Develop the skills necessary to complete the job
Whether you want to start a new career or change your current career, Coursera’s professional certificates help you prepare for the position. Learn at your own pace, at a time and place that is most comfortable for you. Enroll today and discover a new career with a 7-day free trial. You can pause your classes or end the subscription at any time.
Practical projects
Apply your skills to practical projects and develop a portfolio that demonstrates your job readiness to potential employers. You will need to finish the projects correctly to get your certificate.
Get a professional credential
When you complete all the courses in the program, you earn a certificate that you can share with your professional network, as well as access to professional support resources to help you start your new career. Many professional certificates have partners interested in hiring staff who recognize the professional certificate credential, and others can help you prepare for the certificate exam. You can see more information on the pages of the particular professional certificate where it applies.
Program Offer | It includes |
---|---|
Real world projects | Yes |
STUDENT SERVICES | |
Mentor Tech Support | Yes |
Student community | Yes |
CAREER SERVICES | |
CV support | Yes |
Freelance Projects | Yes |
All the materials of the course are available, so that you can take the course at your own pace.
- Follow the suggested syllabus week by week
- Just start watching the videos and join Slack
- Check FAQ if you have problems
- If you can’t find a solution to your problem in FAQ, ask for help in Slack
English
Subtitles: All languages
Aug 19, 2024
Aug 15, 2024
100% online
Get started right away and learn at your own pace.
Level
5 months complete
8 – 10 hours / week
English
Subtitles: All languages
GET STARTED TODAY
Machine Learning Engineer AWS
MONTHLY ACCESS
- 7 days free trial
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3 MONTHS ACCESS
- Visit an individual course or Specialization page to purchase.
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✓ Dictated by the most important companies and universities.
✓ Affordable programs and free trial for 7 days.
✓ Apply your skills in practical projects
✓ Learn at your own pace
✓ Videos and course readings
✓ Graded tests and assignments
✓ Many programs do not require a degree or experience
✓ Certificate that can be shared after completion
To share in LinkedIn
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FAQ
If you are subscribed, you get a 7-day free trial, which you can cancel whenever you want without any type of penalty. After that time, we do not issue refunds. However, you can cancel your subscription whenever you want. See our full refund policy .
Yes! To get started, click on the card of the course you are interested in and sign up. You can enroll and complete the course to obtain a certificate that you can share, or you can access the course as a listener to view the course materials for free. When you subscribe to a course that is part of a Certificate, you automatically subscribe to the entire Certificate. Visit the student dashboard to track your progress.