docs/mindsdb_sql/overview.mdx
MindsDB enhances standard SQL by providing AI building blocks.
This section introduces custom SQL syntax provided by MindsDB to bring data and AI together.
Follow these steps to get started:
<Steps> <Step title="Connect a data source"> Use [CREATE DATABASE](/mindsdb_sql/sql/create/database) to connect your data source to MindsDB. </br> Explore all available [data sources here](/integrations/data-overview). </Step> <Step title="Configure an AI engine"> Use [CREATE ML_ENGINE](/mindsdb_sql/sql/create/ml-engine) to configure an engine of your choice. </br> Explore all available [AI engines here](/integrations/ai-overview). </Step> <Step title="Create and deploy an AI/ML model"> Use [CREATE MODEL](/mindsdb_sql/sql/create/model) to create, train, and deploy AI/ML models within MindsDB. </Step> <Step title="Query for predictions"> Query for a [single prediction](/mindsdb_sql/sql/get-single-prediction) or [batch predictions](/mindsdb_sql/sql/get-batch-predictions) by joining data with models. </Step> <Step title="Automate customized workflows"> Use [JOB](/mindsdb_sql/sql/create/jobs), [TRIGGER](/mindsdb_sql/sql/create/trigger), or [AGENT](/mindsdb_sql/agents/agent) to automate workflows. </Step> </Steps>