AWS Certified Machine Learning - Specialty (MLS-C01) Cert Prep: 1 Data Engineering
1h 29mIntermediate2023-02-27
Authors
Noah Gift
MLOps Expert | Solopreneur | Author | Adjunct Professor | CTO
Course details
Join MLOps expert and CTO Noah Gift to learn all about data engineering and prepare for the data engineering portion of the AWS Certified Machine Learning – Specialty (MLS-C01) certification. After walking you through the technology prerequisites and the tools you will use, Noah dives into creating data repositories, identifying and implementing data ingestion and transformation solutions, designing and implementing data warehousing solutions, and enabling data access and discovery. He also presents practical demos of AWS Batch, step functions, EMR Spark, and more.
Skills covered
Machine LearningData EngineeringAmazon Web Services (AWS)AmazonCloud ServicesCloud PlatformsCert PrepArtificial Intelligence (AI)Cloud ComputingData Science
Concepts
Introduction
- Overview
- Technology prerequisites
- Use SageMaker Studio Lab
- Learn AWS CloudShell
- The cloud developer workspace advantage
- Prototype AI APIs on AWS with CloudShell and Bash
- Using AWS Cloud9 with Amazon CodeWhisperer
Create Data Repositories for Machine Learning
- Domain one - Introduction
- Data storage
- Determine storage mediums
- Use S3 demo
Identify and Implement a Data Ingestion Solution
- Job styles batch vs. streaming
- Data ingestion pipelines
- AWS Batch demo
- Step Function demo
Identify and Implement a Data Transformation Solution
- Transform data in transit
- Handle ML-specific MapReduce
- EMR Spark demo
Conclusion
- Next steps