Deep Learning on AWS
Course description
You will learn about Deep learning on AWS solutions in this course, as well as use cases for deep learning and its principles. You’ll discover how to use Amazon SageMaker and the MXNet framework to run deep learning models in the cloud. While creating intelligent systems on AWS, you’ll also learn how to use tools like AWS Lambda to execute your deep learning algorithms.
Activities
This Deep Learning On AWS Training will include the following activities:
- Live Demonstrations
- Group Discussions
- Hands-On Labs
- Knowledge Checks
Course Objectives
Intended Audience
Prerequisites
Module Breakdown
Module 1: Machine learning overview
- A brief history of AI, ML, and DL
- The business importance of ML
- Common challenges in ML
- Different types of ML problems and tasks
- AI on AWS
Module 2: Introduction to deep learning
- Introduction to DL
- The DL concepts
- A summary of how to train DL models on AWS
- Introduction to Amazon SageMaker
- Hands-on lab: Spinning up an Amazon SageMaker notebook instance and running a multilayer perceptron neural network model
Module 3: Introduction to Apache MXNet
- The motivation for and benefits of using MXNet and Gluon
- Important terms and APIs used in MXNet
- Convolutional neural networks (CNN) architecture
- Hands-on lab: Training a CNN on a CIFAR-10 dataset
Module 4: ML and DL architectures on AWS
- AWS services for deploying DL models (AWS Lambda, AWS IoT Greengrass, Amazon ECS, AWS Elastic Beanstalk)
- Introduction to AWS AI services that are based on DL (Amazon Polly, Amazon Lex, Amazon Rekognition)
- Hands-on lab: Deploying a trained model for prediction on AWS Lambda
FAQ's
Is Cloud Wizard Consulting an official AWS training partner?
Yes, we have been since 2015.
Who should take up this course?
You can take on this AWS course if you belong to the following category of individuals:
- Developers who are responsible for developing deep learning applications
- Developers who want to understand the concepts behind deep learning and how to implement a deep learning solution on AWS Cloud
What prior experience do you need for this course?
To qualify for taking up this AWS training, you’ll need the following:
- A basic knowledge of ML processes
- Knowledge of AWS core services like Amazon EC2 and AWS SDK
- Knowledge of a scripting language like Python
How do I enroll in this course?
To enroll in this course, choose the starting date and make an online payment. Once your payment is confirmed, our team will reach out to you.
Course Schedule
| Course Name | Date | Register |
|---|---|---|
| Deep Learning on AWS | 21 Apr - 21 Apr | Register |