Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Discover how to streamline AI model development using Amazon SageMaker HyperPod's command-line interface and software development kit in this AWS re:Invent 2025 conference talk. Learn to leverage SageMaker HyperPod for building, training, and deploying AI models at scale, from spinning up your preferred IDE for model development and experimentation to scaling across thousands of accelerators for distributed training. Explore the complete workflow from initial model development through fine-tuning to final deployment for both real-time and batch inference scenarios. Master HyperPod's task governance capabilities to optimize cluster resource utilization and maximize efficiency. Experience hands-on demonstrations featuring live coding sessions and practical troubleshooting techniques that showcase the CLI and SDK's capabilities for end-to-end model development workflows. Gain insights into how these tools simplify interaction with HyperPod clusters and accelerate the entire machine learning pipeline from development to production deployment.
