Explore advanced techniques for hyperparameter optimization with Amazon SageMaker Automatic Model Tuning

Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD

Build a medical imaging AI inference pipeline with MONAI Deploy on AWS

Deploy ML models built in Amazon SageMaker Canvas to Amazon SageMaker real-time endpoints

Schneider Electric leverages Retrieval Augmented LLMs on SageMaker to ensure real-time updates in their ERP systems

Deploy and fine-tune foundation models in Amazon SageMaker JumpStart with two lines of code

Empower your business users to extract insights from company documents using Amazon SageMaker Canvas Generative AI

Detection and high-frequency monitoring of methane emission point sources using Amazon SageMaker geospatial capabilities

From text to dream job: Building an NLP-based job recommender at Talent.com with Amazon SageMaker

Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using Amazon SageMaker