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We're here to help you find itUnlock the potential of AWS Machine Learning with Data Analytics with Koenig Solutions' comprehensive course. This program covers crucial topics like AWS Sagemaker MLOps using Python, AWS Datalake Formation, AWS Glue and DataBrew, and Amazon Redshift. With hands-on training, you'll learn about MLOps processes, managing data repositories, and orchestrating ML pipelines. Dive into data lakes, mastering data ingestion, cataloging, and preparation with AWS Lake Formation. Enhance your skills with data transformation and profiling using AWS Glue and DataBrew. Finally, leverage Amazon Redshift for creating scalable data warehouses, continuous data load, and building ML models. Join us to become proficient in deploying and monitoring robust ML solutions on AWS.
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USD
View Fees Breakdown
| Course Fee | 1,975 |
|
Total Fees |
1,975 (USD) |
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
To ensure a successful learning experience in the AWS Machine Learning with Data Analytics course, students should ideally meet the following minimum prerequisites:
These prerequisites are designed to help students grasp the course material more effectively and take full advantage of the in-depth training offered.
The AWS Machine Learning with Data Analytics course provides comprehensive training in MLOps, data lake formation, AWS Glue, and Amazon Redshift. The course is designed to equip students with the skills needed to implement, manage, and deploy machine learning models and data analytics solutions on AWS.
