AWS Certified Developer – Associate 2021
The AWS Certified Developer – Associate 2021 is intended for individuals who perform a development role and have one or more years of hands-on experience developing and maintaining an AWS-based application.
Preparing training data is a critical step in machine learning. Preparing data involves creating labelled data, creating features, visualizing the features, and processing the data so it can be made available for training. In this session, learn how to use…
Amazon SageMaker helps data scientists and developers to prepare, build, train, and deploy high-quality machine learning (ML) models quickly by bringing together a broad set of capabilities purpose-built for ML. In this session, we provide an overview for one of…
Using data in your data warehouse for machine learning use cases like churn prediction can be complicated because of the different tools and skills required. In this session, learn how with Amazon Redshift Machine Learning, you can use SQL to…
Amazon FSx for Lustre is a high-performance file system for processing Amazon S3 or on-premises data. Learn more at - https://amzn.to/2GglrJa. With Amazon FSx for Lustre, you can launch and run a Lustre file system that can process massive data…
In this session, learn more about Amazon SageMaker Edge Manager, a new capability of Amazon SageMaker that helps developers operate machine learning (ML) models on a fleet of edge devices and solve challenges with constraints and maintenance of ML models…
Make your way from the middle of the pack to the top of the AWS DeepRacer podium. Once you have built your first reinforcement learning model, extend your machine learning skills in this session by exploring how human analysis of…
This video is a tutorial on the AWS Deep Racer. I go through all the bells and whistle of the service and you will learn how to create your own self-driving car model. Race in the virtual track and get…
Insufficient enterprise AI adoption often happens due to lack of time, data, and skills required to develop ML models for solving your business problems. In this session, learn how pretrained ML models which is available in AWS Marketplace and deployed…
AWS offers many choices for solving business problems through machine learning (ML), ranging from built-in algorithms to frameworks and more in using ML services. Amazon SageMaker supports the different built-in ML algorithms, such as classification, regression, and recommendation. Built-in algorithms…
A better understanding of your code base helps reduce overall costs, improves non-functional behaviors like application response times and performance, and allows you to tackle issues faster and more accurately. Similarly, from the operational front, it can be difficult to…