Amazon SageMaker AI launches AI agent experience for model customization
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This article announces Amazon SageMaker AI's new agentic experience that accelerates model customization from months to days or hours using natural language interactions with coding agents.
- AI agents streamline entire workflow from use case definition to production deployment
- Supports fine-tuning, data transformation, quality evaluation, and flexible deployment options
- Works with multiple coding agents: Kiro, Claude Code, and CoPilot
- Optimizes popular model families: Amazon Nova, Llama, Qwen, and GPT-OSS
- Skills installable in any IDE or pre-installed in SageMaker Studio Notebooks
- Generates reusable, editable code for transparency and automation
- Supports supervised fine-tuning, preference optimization, and reinforcement learning
- Available in four AWS regions: N. Virginia, Ireland, Oregon, and Tokyo
SageMaker AI's new agent experience significantly reduces model customization complexity by automating infrastructure setup and enabling developers to work through natural language interactions.
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