AWS Machine Learning with Data Analytics

The AWS Machine Learning with Data Analytics certification is designed for professionals aiming to master the integration of machine learning (ML) and advanced analytics using AWS cloud technologies. This certification validates the ability to design, develop, and deploy intelligent, data-driven applications leveraging AWS’s powerful ecosystem.

Candidates gain in-depth knowledge in:

• Data ingestion, transformation, and storage using services like AWS Glue, Amazon Redshift, and Amazon S3

• Building and training ML models using Amazon SageMaker

• Real-time data processing with Amazon Kinesis and data visualization with Amazon QuickSight

• Applying ML algorithms to solve business problems and automate decisions

• Ensuring data security, scalability, and performance optimization across cloud environments

This certification is ideal for data scientists, machine learning engineers, data engineers, and analytics professionals who seek to enhance their skills in deploying ML-driven analytics solutions within the AWS cloud infrastructure.

Key Features:

• Validates expertise in combining machine learning and analytics using AWS tools

• Covers end-to-end workflows from data processing to model deployment

• Emphasizes real-world use cases and hands-on experience with AWS services

• Supports career advancement for professionals in AI/ML and cloud data roles

• Available in instructor-led and self-paced formats to suit different learning needs