When your models leave the notebook, Bedrock gives you the switches, gauges, and brakes you need to run them safely. Start by connecting your data sources (S3, BigQuery, Postgres) and spin up a project. Configure an experiment in the UI or as code, choose compute, and launch training. Every run captures parameters, code version, datasets, and artifacts automatically. Compare runs side-by-side, plot key metrics, and lock in evaluation suites that mirror your business KPIs so winners are obvious.
Turning a result into a service takes a few clicks. Register the best checkpoint as a versioned model, attach a schema and a contract, and publish an endpoint with REST or gRPC. Bedrock packages the image, wires secrets, and enforces resource limits. Roll out to staging, then route a small slice of traffic in production with canary or blue/green switches. Need batch scoring or features on a schedule? Add a pipeline, set a cadence, and ship predictions to your warehouse or message bus.
Once live, you see what matters in one place. Dashboards track latency, throughput, error codes, and saturation in real time. Quality isn’t an afterthought: log predictions and outcomes, compute online accuracy, and watch for drift across inputs and outputs. Slice results by segment to catch regressions that only hit certain users. Flag low-confidence cases for human review, trigger alerts to Slack or PagerDuty on thresholds, and roll back with one button if behavior degrades. Cost views help you spot expensive features and right-size hardware. more
Bedrock
Custom
Machine learning
Empower your data teams to make impact
Designed for data scientists
Do more with lean AI teams
Best-in-class machine learning
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