Last Updated on November 17, 2021 by Rajeev Bagra
Source: Coursera newsletter dated Nov 15,2021
We are excited to announce the new Hands on Machine Learning with AWS and NVIDIA course available now on Coursera, built in partnership with NVIDIA.
Machine learning (ML) projects can be complex, tedious, and time consuming. AWS and NVIDIA solve this challenge with fast, effective, and easy-to-use capabilities for your ML project.
This course is designed for ML practitioners, including data scientists and developers, who have a working knowledge of machine learning workflows. In this course, you will gain hands-on experience on building, training, and deploying scalable machine learning models with Amazon SageMaker and Amazon EC2 instances powered by NVIDIA GPUs.
Follow at your own pace with instructor led modules and hands on labs covering:
- Introduction to Amazon SageMaker and NVIDIA GPUs
- GPU Accelerated Machine Learning Workflows with RAPIDS and Amazon SageMaker
- Computer Vision
- Natural Language Processing
In this course, you will first get an overview of Amazon SageMaker and NVIDIA GPUs. Then, you will get hands-on, by running a GPU powered Amazon SageMaker notebook instance. You will then learn how to prepare a dataset for model training, build a model, execute model training, and deploy and optimize the ML model. You will also learn, hands-on, how to apply this workflow for computer vision (CV) and natural language processing (NLP) use cases.
After completing this course, you will be able to build, train, deploy, and optimize ML workflows with GPU acceleration in Amazon SageMaker and understand the key Amazon SageMaker services applicable to computer vision and NLP ML tasks.
Enroll in Hands on Machine Learning with AWS and NVIDIA today!
We look forward to seeing you in the course and wish you luck in your machine learning journey!
The AWS Training and Certification Team
P.S. New to AWS Cloud? Start with the following foundational courses:
Did you know that AWS has 25+ courses and 7 specializations on Coursera. Click here to see the list of all the AWS authored content on Coursera.
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