LLMs & agentsAdvanced
Generative AI
Foundation models on Databricks, vector search for retrieval, agents built with Agent Bricks and the Agent Framework, and how to evaluate them.
0 of 26 done
26 of 26 written|~45 h
01Foundations
02Models
03Retrieval
04Agents
Platform & governanceAI & ML
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The same path as a list26 concepts
Stage 1 · Foundations
Unity Catalog, the governance layerStage 2 · Models
AI PlaygroundFoundation Model APIsUnity Gateway (formerly AI Gateway)Batch inference with ai_queryStructured outputsPaying for a foundation model: tokens, units and reservationsExternal models and model provider servicesStage 3 · Retrieval
Databricks AI Search (formerly Vector Search)Building a RAG pipelineAI Search index types and sync modesStage 4 · Agents
Agents on DatabricksAgent tools as Unity Catalog functionsModel Context Protocol on DatabricksAgent Bricks: Knowledge Assistant and Supervisor AgentDeploy an agent on Databricks AppsModel services on Unity GatewayAgent and MCP services as Unity Catalog securablesGuardrails for generative applicationsAgent memoryEvaluating agentsEvaluation datasets for generative AIHuman feedback on generative AI outputPrompt registryProduction monitoring for GenAI appsGateway inference tables and usage trackingRetrieval before agents, and evaluation before either goes near production. Most failed generative AI projects fail at retrieval quality, not at the model, which is why the RAG concept spends most of its words on chunking and grounding.
Unity Catalog is a prerequisite and not a formality: vector indexes, agent tools and the models they call are all governed objects.
Full resources for this path
593 freeAuthor an agent and deploy it on Databricks AppsDocumentation · Databricks · checked 24 Oct 2026Free
Create agent tools using Unity Catalog functionsDocumentation · Databricks · checked 24 Oct 2026Free
Databricks Runtime 17.3 LTS for Machine LearningDocumentation · Databricks · checked 24 Oct 2026Free
Priority pay-per-token for Foundation Model APIsDocumentation · Databricks · checked 24 Oct 2026Free
Fine-grained access control on dedicated computeDocumentation · Databricks · checked 24 Oct 2026Free
Advancing Spark - Photon on Databricks ClustersVideo · Advancing Analytics · checked 17 Oct 2026Free
Create agent tools using Unity Catalog functionsDocumentation · Databricks · checked 10 Oct 2026Free
Configure Structured Streaming trigger intervalsDocumentation · Databricks · checked 17 Oct 2026Free
Performance Tuning - Spark 4.2.0 DocumentationDocumentation · Apache Spark · checked 17 Oct 2026Free
Set Spark configuration properties on DatabricksDocumentation · Databricks · checked 17 Oct 2026Free
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