This intermediate-level course is designed to help you dust off your AWS DeepLens device and move from AWS DeepLens inquirer to practitioner. The course will help you get there by walking you through an object detection project that in the end will be able to identify individuals on a construction site who aren’t wearing hard hats.
Intended Audience
This course is intended for:
- Developers
- Machine learning practitioners
Course Objectives
In this course, you will learn how to:
- Set up the appropriate IAM roles and create an Amazon S3 bucket needed for this particular AWS DeepLens project
- Create a Recognize Object Lambda function and an AWS DeepLens inference Lambda function
- Create and deploy an AW DeepLens project, and
- View and analyze the project results using AWS IoT and Amazon CloudWatch.
Prerequisites
We recommend that participants of this course have the following prerequisites:
- A general familiarity with how AWS DeepLens works
- An AWS DeepLens device that is registered
- Some experience developing in the AWS Cloud and using such services as AWS Lambda, Amazon CloudWatch, Amazon S3, and Amazon SageMaker.
Delivery Method
This course is delivered as a digital training.
Duration
30 minutes
Course Outline
This course is broken into the following modules:
- Module 1: Course Introduction
- Module 2: Project Overview and Application Architecture
- Module 3: Role Access and Amazon S3 Bucket
- Module 4: Create Recognize Object Lambda Function
- Module 5: Create AWS DeepLens Inference Lambda Function
- Module 6: Create AWS DeepLens Project
- Module 7: Deploy AWS DeepLens Project
- Module 8: View and Analyze Output of Project
