Databricks certifications

Everything worth knowingThe short version of what changed on Databricks, every couple of weeks.New featuresThings that shipped or reached general availability.Previews and betaWhat is in preview, and what it means for what you are learning.RenamesThe name changed, the thing did not. Told before you meet it in a menu.Deprecations and end of supportWhat is going away, and by when.From the communityTechnical write-ups by practitioners: a pattern shown end to end, a feature taken apart.Certification changesExam guide updates, new versions, retired exams.New and rewritten conceptsWhen the site gains or rewrites something you are studying.

Your stack · Platform & governance

Tick what you run, and untick “Everything worth knowing” to get only that.

WorkspaceFolders, notebooks, Git folders, the workspace itselfUnity CatalogPermissions, lineage, governed tags, the catalogComputeClusters, serverless, Databricks Runtime and its LTS releasesMarketplaceDelta Sharing and what is shared through itAppsDatabricks Apps and what runs on them

Data engineering · Lakeflow

Data ingestionAuto Loader, Lakeflow Connect, getting data inLakeflow Jobs & PipelinesJobs, declarative pipelines, orchestrationRunsJob and pipeline runs, their history and repairDelta LakeTables, clustering, time travel, the storage layerStreamingStructured Streaming and real-time workloadsData qualityExpectations, monitoring, anomaly detectionLakebasePostgres on Databricks, synced tablesEcosystem & toolsCLI, bundles, SDKs, connectors

Data warehousing & BI

SQL editorWriting and running SQL in the workspaceSQL warehousesWarehouses, sizing, serverless SQLDashboardsAI/BI dashboardsGenieGenie and asking data questions in plain languageAlertsSQL alertsQuery historyQuery history and performance

AI & ML

PlaygroundTrying models side by sideAgentsAgent Bricks, building and evaluating agentsUnity GatewayAI Gateway, model access, usage trackingExperimentsMLflow experiments, tracing, evaluationFeaturesFeature engineering and feature servingModelsModels in Unity Catalog, the model registryServingModel Serving, foundation model APIsAI SearchAI Search, formerly Vector Search

Your learning paths

SQL & Python FoundationsThe dialect, the DataFrame API and the things every other path assumes.Lakehouse FoundationsHow the platform is put together: compute, Delta, Unity Catalog.Data EngineeringIngestion, transformation, Lakeflow Jobs and shipping a pipeline.Governance & SecurityUnity Catalog end to end: privileges, ABAC, sharing, audit.Platform & AdministrationCompute, cost, policies and the settings that actually matter.SQL & AnalyticsWarehouses, the editor, dashboards and Genie.Machine LearningFeatures, training, MLflow and serving.Generative AIAgents, the gateway, vector search and evaluation.

Each one is a section of the letter, and you only get the ones you tick. Every email carries a link back to this list, so you can change it later without an account.

Certifications

Told when an exam guide moves