In March 2025, AWS introduced a new approach with SageMaker Unified Studio. This environment combines services such as Amazon EMR, AWS Glue, Athena, Redshift, Bedrock, and AWS SageMaker into one unified studio. It provides teams with a single space to discover data, build analytics and AI assets, and collaborate effectively. At the same time, it ensures enterprise-grade governance through the SageMaker Catalog and a secure lakehouse architecture built on Apache Iceberg.

To strengthen its adoption, AWS has launched four new self-paced financial services workshops tailored specifically for professionals in financial services. Each workshop focuses on a different sector, offering hands-on guidance to help participants use SageMaker Unified Studio with real industry scenarios. These are part of the broader SageMaker Unified Studio workshops for financial services, which are designed to bring advanced capabilities into practical settings.

Insurance: From Challenges to AI-Powered Solutions

This workshop brings participants into real-world insurance use cases. It demonstrates how to turn critical industry demands into valuable outcomes supported by data and generative AI. Through practical exercises, participants build workflows that address operational challenges and deliver measurable business results with AWS SageMaker training for financial institutions.

Banking: Scale, Govern, and Innovate

Retail banks face distinct challenges, and this workshop provides a structured way to address them. It introduces a reference architecture supported by curated banking datasets and highlights use cases such as customer segmentation, fraud detection, and churn prediction.

The workshop also explores how generative AI can enhance personalized communication with customers, helping banks innovate while ensuring compliance and governance at scale. Participants benefit from machine learning workshops for financial services with SageMaker, which make these concepts more actionable.

Capital Markets: Unified Insights from Complex Data

In this session, participants work with trade and quote datasets linked to S&P 500 stocks. These datasets often exist in multiple formats, which creates challenges in analysis. The workshop demonstrates how to unify such data through a lakehouse approach. Using familiar SQL interfaces, participants learn how to extract meaningful insights from complex market information, helping firms strengthen decision-making and strategy through SageMaker Unified Studio.

Payments: A Full Data Pipeline Playground

Payments depend on the smooth flow of data, and this workshop provides an end-to-end perspective. Participants move through the entire pipeline, from data ingestion and storage to analytics, streaming, machine learning, and business intelligence.

With SageMaker Unified Studio, professionals learn how to construct a complete payments workflow in one environment, ensuring both efficiency and scalability. This is where AWS SageMaker plays a key role in building solutions tailored for real-world financial needs.

Why It Matters

Each workshop has been created to reflect real commercial needs across financial services. The design is practical, self-paced, and oriented toward hands-on learning. AWS encourages participants to share feedback, which will help improve adoption across the industry.

These financial services workshops are also part of SageMaker Unified Studio workshops for financial services, reinforcing their focus on practical business outcomes. Those seeking more tailored support are advised to reach out to their AWS account team for guidance from a specialist solutions architect or consider AWS SageMaker training for financial institutions.

Your Takeaway

These workshops offer more than technical knowledge. They are designed as gateways for financial professionals to transform industry challenges into practical solutions. By connecting data, analytics, and AI in one studio, they provide a way to build scalable, secure, and innovative workflows that directly support business growth in financial services.

Through machine learning workshops for financial services with SageMaker, participants are equipped not just with tools, but with real-world application skills. With SageMaker Unified Studio and AWS SageMaker, the opportunities for growth and innovation are unmatched.