Nanodegree Machine Learning AWS
July 29, 2021 2022-11-09 14:21Nanodegree Machine Learning AWS
Level
3 months complete
8 – 10 hours / week
English
Subtitles: English – Spanish
Available in
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
Deploy a Sentiment Analysis Model
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 |
Succeed with Personalized Services



- Support for all your technical questions
- Questions answered quickly by our team of technical mentors
More questions about the program?

Schedule a call with our Admissions team or email, our Admissions Manager, who will help you think through the decision.

La matrícula completa del programa es de $ 10,140. Si paga por adelantado, obtiene un 16% de descuento. Recuerde, si no consigue un trabajo dentro de los 6 meses posteriores a la finalización, recibirá un reembolso completo. Ver los términos de elegibilidad de la garantía de empleo
Descuento por adelantado | Pague por adelantado y ahorre un 16% en la matrícula | $5000
Mes a mes | Paga solo los meses que necesites, hasta 6 meses $ 1,690 / mes Total: hasta $ 10,140
Plan de matrícula diferida | Pague mensualmente solo después de comenzar un trabajo $ 383 / mes Total: $ 14,500
New opportunities every week with companies that validate Bootcamp AI certificates.
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Machine Learning Engineer AWS
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MONTHLY ACCESS
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3 MONTHS ACCESS
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Tulio Velásquez
Gerente Arq Tecnología
Melani Stefania Ruales
Fellow
Diana Jaramillo
Fellow
Bryan Xavier Landázuri
FelowJenny Vega
Mentora
Machine Learning Engineer Rappi Software Engineer con más de 5 años de experiencia en el desarrollo de aplicaciones de big data y machine learning altamente escalables. Con sólidos conocimientos y práctica en lenguajes de programación como Python y Javascript. Arquitecta Asociada de AWS. Autodidacta de nuevas tecnologías y frameworks dentro de machine learning e inteligencia artificial.
Application review takes at least 15 days.
Continue with the application for the Nanodegree or sign up and start learning today.
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✓ 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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