This course looks at the Amazon Forecast service, including what it does and how it works importing datasets, training predictors, and generating forecasts.
- Learn the fundamentals of Amazon Forecast
- Understand how to ingest data in Amazon Forecast
- Learn how to train the predictor model
- Learn how to create a forecast
This course is intended for architects, developers, line of business managers, executives, and data scientists looking to improve their forecasting results in their business.
In order to get the most out of this course, you will need to meet the requirements for the AWS Cloud Practitioner Certification.
Hello, and welcome to this Cloud Academy presentation. A little bit about myself. I'm Jorge Negron and I'm part of the AWS Content Development team here at Cloud Academy. In this module, you will learn about Amazon Forecast, what it does and how it works. Importing data sets, training predictors and generating forecasts. If you have any questions about the material being discussed, please feel free to contact me, firstname.lastname@example.org with any questions, using the details shown on the screen. As an alternative, you can always get in touch with us here at Cloud Academy by sending an email to email@example.com where one of our Cloud experts will reply to your question.
Who should attend this course? This course is intended for architects, developers, line of business managers, executives and data scientists looking to improve their forecasting results in their business. In this course, you will learn about time-series forecasting. How important it is to business results and how Amazon Forecast implements accurate time series forecasting based on the same technology used at amazon.com in a simple to use service that requires no machine learning experience and provides 50% improvement in accuracy over traditional methods. In order to get the most out of this course, you will need to meet the requirements for the AWS Cloud Practitioner Certification.
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Experienced in architecture and delivery of cloud-based solutions, the development, and delivery of technical training, defining requirements, use cases, and validating architectures for results. Excellent leadership, communication, and presentation skills with attention to details. Hands-on administration/development experience with the ability to mentor and train current & emerging technologies, (Cloud, ML, IoT, Microservices, Big Data & Analytics).