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Hands-on Machine Learning with AWS and NVIDIA
  • Level Professional
  • Duration 23 hours
  • Offered by

About

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. Amazon SageMaker helps data scientists and developers prepare, build, train, and deploy high-quality ML models quickly by bringing together a broad set of capabilities purpose-built for ML. Amazon EC2 instances powered by NVIDIA GPUs along with NVIDIA software offer high performance GPU-optimized instances in the cloud for efficient model training and cost effective model inference hosting. 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.

Auto Summary

Embark on an advanced journey into machine learning with "Hands-on Machine Learning with AWS and NVIDIA." This comprehensive course, offered by Coursera, is tailored for ML practitioners—including data scientists and developers—who already possess a working knowledge of machine learning workflows. Dive deep into the capabilities of Amazon SageMaker and NVIDIA GPUs to build, train, and deploy scalable machine learning models effectively and efficiently. Throughout the course, you will gain hands-on experience with Amazon SageMaker, which streamlines the process of preparing, building, training, and deploying high-quality ML models. You’ll also leverage Amazon EC2 instances powered by NVIDIA GPUs, known for their high-performance and cost-effective model training and inference hosting capabilities. The curriculum begins with an introduction to Amazon SageMaker and NVIDIA GPUs, followed by practical exercises involving GPU-powered Amazon SageMaker notebook instances. You'll learn to prepare datasets, construct models, execute training, and optimize ML models. Additionally, you'll tackle real-world applications by applying these workflows to computer vision (CV) and natural language processing (NLP) use cases. Spanning an extensive 1380 minutes, this professional-level course offers a robust learning experience designed to enhance your expertise in ML workflows with GPU acceleration. Available through a Starter subscription, it is perfectly suited for those looking to deepen their practical skills and knowledge in data science and AI. Join now to elevate your machine learning projects with the power of AWS and NVIDIA.