How to Get Started with Amazon SageMaker: Unified Studio, Services & Access Management

🚀 Learn How to Get Started with Amazon SageMaker

Amazon SageMaker makes it easier than ever to build, train, and deploy machine learning models at scale. In this hands-on video, we’ll guide you through the essentials of the SageMaker platform and its integrated services, including:

1️⃣ SageMaker AI Platform Landscape: Explore the features that make SageMaker a powerful ML solution.
2️⃣ Unified Studio: See how SageMaker provides a seamless interface for data scientists and developers.
3️⃣ Project Profiles: Understand how to organize and manage your ML projects effectively.
4️⃣ Authentication and Access Management: Learn how to secure your resources with role-based access.
5️⃣ Integrated AWS Services: Discover how SageMaker works with Amazon Q, Bedrock, DataZone, S3, Athena, Redshift, and QuickSight to power your ML workflows.

💡 Perfect for IT professionals and ML beginners looking to harness the power of AWS for machine learning.

📚 Want to take your skills further? Check out our Mastering GenAI on AWS course: https://datamastery.pro/courses

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