THIS WORKSHOP IS 100% VIRTUAL
Date: Friday, 10th Oct 2025 Time: 10am - 4pm Location: Online
Workshop description:
Amazon SageMaker's unified platform for analytics and AI solutions in this comprehensive workshop. Learn to seamlessly work with data processing and ML tools while exploring SageMaker Unified Studio's capabilities for machine learning model development and deployment. What to Expect Experience a hands-on journey through SageMaker's integrated environment. You'll work with familiar AWS tools while learning to streamline ML workflows.
The workshop combines practical exercises with guided tutorials, demonstrating how to effectively process data, develop ML models, and manage the complete machine learning lifecycle in a unified workspace.
Hands-on Workshop
- This workshop covers essential aspects of modern ML workflows: Data processing and preparation Machine learning model development Model deployment and monitoring MLOps and model management
Objectives:
- Built an end-to-end data and ML pipeline using Amazon SageMaker
- Created automated ETL workflows for marketing data
- Developed a product propensity model for targeted campaigns
- Generated AI-powered marketing content using Amazon Bedrock
Prerequisites:
- Basic understanding of AWS Services (100 level)
- Basic Python programming knowledge
- Fundamental ML concepts
- Laptop with internet connection
