Design and Operationalize Intelligent ML Pipelines Using AWS Cloud Services
Sub Category
- IT Certifications
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Objectives
- Build complete machine learning workflows using AWS services
- Ingest, clean, transform, and store structured and unstructured data
- Perform feature engineering and apply best practices for data preparation
- Analyze and visualize data using cloud-native analytics platforms
- Work with real-time data streams using AWS Kinesis and related tools
- Apply security, scaling, and automation principles to ML solutions
Pre Requisites
- Understanding of network technologies, IAM, and fundamental AWS security concepts
- Familiarity with best practices for model training, deployment, and operations
- Understanding of AWS services such as SageMaker, Glue, Kinesis, and S3
- Ability to work collaboratively with developers and understand system operations
- Working knowledge of basic hyperparameter optimization
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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