Amazon SageMaker Unified Studio: One Stop Solution

Amazon SageMaker Unified Studio is a comprehensive platform designed to streamline the development of data and AI solutions by integrating tools for model development, generative AI applications, data processing, and SQL analytics. It fosters collaboration through project-based workflows, enabling teams to securely share AI and analytics artifacts and access data from various sources via the Amazon SageMaker Lakehouse.

Steps to create an Amazon SageMaker Unified Studio Domain

1. Go to the Amazon SageMaker console: https://console.aws.amazon.com/datazone.
2. Use the region selector to pick your AWS Region.
3. Click Create domain and select Manual setup for full customization.

4. Customize domain settings, including:

• Analytics, ML, SQL, and Generative AI tools.
• Data and AI governance.
• Amazon Bedrock configurations.
• Amazon Q (Free Tier).
• Authentication via AWS IAM, IAM Identity Center, or SAML.

5. Specify:

• Name: Enter the domain name.
• Description: Add a domain description.
• Execution Role: Set the domain execution role
• Service Role: Set the domain service role
• Data Encryption: Choose encryption settings
• Tags: Add tags for the domain.

6. Click Create Domain

Once the domain has been created, you can customize your domain settings which includes SSO, Amazon Bedrock, Amazon Q, etc. The environment looks like as follows:

Key Features:

• Integrated AI and Data Experience: Unify analytics and AI workflows with familiar AWS tools in a governed environment, promoting collaboration and seamless data access.

• Best-in-Class Tools: Utilize AWS services like Amazon EMR, AWS Glue, Amazon Athena, and Amazon Redshift through unified notebooks and visual ETL for data pipeline integration.

• Scalable AI Model Management: Leverage SageMaker AI’s purpose-built tools for every stage of the ML lifecycle, from data preparation to model deployment and monitoring.
• Generative AI Application Development: Build custom generative AI applications using Amazon Bedrock IDE, with advanced tools for customization, governance, and deployment.

• Amazon Q Developer: Accelerate development lifecycles by assisting with data discovery, collaboration, code generation, SQL creation, and troubleshooting through an interactive chat interface.

About CloudThat

CloudThat is a leading provider of Cloud Training and Consulting services with a global presence in India, the USA, Asia, Europe, and Africa. Specializing in AWS, Microsoft Azure, GCP, VMware, Databricks, and more, the company serves mid-market and enterprise clients, offering comprehensive expertise in Cloud Migration, Data Platforms, DevOps, IoT, AI/ML, and more.

CloudThat is the first Indian Company to win the prestigious Microsoft Partner 2024 Award and is recognized as a top-tier partner with AWS and Microsoft, including the prestigious ‘Think Big’ partner award from AWS and the Microsoft Superstars FY 2023 award in Asia & India. Having trained 650k+ professionals in 500+ cloud certifications and completed 300+ consulting projects globally, CloudThat is an official AWS Advanced Consulting Partner, Microsoft Gold Partner, AWS Training Partner, AWS Migration Partner, AWS Data and Analytics Partner, AWS DevOps Competency Partner, AWS GenAI Competency Partner, Amazon QuickSight Service Delivery Partner, Amazon EKS Service Delivery Partner,  AWS Microsoft Workload Partners, Amazon EC2 Service Delivery Partner, Amazon ECS Service Delivery Partner, AWS Glue Service Delivery Partner, Amazon Redshift Service Delivery Partner, AWS Control Tower Service Delivery Partner, AWS WAF Service Delivery Partner and many more.

To get started, go through our Consultancy page and Managed Services Package, CloudThat’s offerings.