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Deep Learning Topics with Computer Vision and NLP

In this course you will learn how to train, finetune and deploy deep learning models using Amazon SageMaker. You’ll begin by learning what deep learning is, where it is used, and the tools used by deep learning engineers. Next we will learn about artificial neurons and neural networks and how to train them. After that we will learn about advanced neural network architectures like Convolutional Neural Networks and BERT as well as how to finetune them for specific tasks. Finally, you will learn about Amazon SageMaker and you will take everything you learned and do them in SageMaker Studio.

  • Course
  • Intermediate
  • 15 hours
  • Updated: May 26, 2025

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  • Unlimited access to hundreds of top-rated courses
  • Hands-on projects with expert feedback
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Skills you'll learn

16 skills

  • Neural network basics
  • Sagemaker jumpstart
  • Machine learning framework fundamentals
  • Hyperparameter tuning
  • Sagemaker training jobs

Prerequisites

2 prerequisites

Prior to enrolling, you should have the following knowledge:

  • PyTorch
  • Deep learning

You will also need to be able to communicate fluently and professionally in written and spoken English.

Course Outline

  • 5 lessons
  • 1 project

Program Instructors

1 instructor

Unlike typical professors, our instructors come from Fortune 500 and Global 2000 companies and have demonstrated leadership and expertise in their professions:

Soham Chatterjee

Graduate student at the Nanyang Technological University

Soham Chatterjee

Graduate student at the Nanyang Technological University

Subscription · Monthly

  • Cancel Anytime
  • Unlimited access to hundreds of top-rated courses
  • Hands-on projects with expert feedback
  • Personalized career coaching and interview prep
  • Program Certificates

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