Hands-on training covering Databricks Data Intelligence Platform, from data engineering fundamentals to advanced GenAI implementations.
Topics: Platform fundamentals, data governance, and pipeline orchestration Learn: Build complete data pipelines, implement governance with Unity Catalog, orchestrate multi-source ingestion with LakeFlow
- Databricks Data Intelligence Platform
- UberEats Use Case & Data Sources
- Data Governance with Unity Catalog
- Data Pipelines & Medallion Architecture
- LakeFlow Connect & ZeroBus
- LakeFlow Declarative Pipelines
- LakeFlow Jobs & Designer
Topics: High-performance analytics, data modeling, and intelligent dashboards Learn: Create advanced analytics, integrate multiple data sources, build AI-powered dashboards for self-service
- Data Modeling & Gold Tables
- Databricks SQL & Photon Engine
- Databricks Lakebridge & Lakehouse Federation
- AI/BI Dashboards, Genie & Alerts
- Databricks One
- Hex: Agentic Analytics Platform
Topics: GenAI implementation, RAG systems, and intelligent agents Learn: Implement GenAI in production, create RAG systems, build multi-agent systems with MCP
- Prompt Engineering & AI Playground
- AI Functions & MLflow for GenAI
- Serving Endpoints & AI Gateway
- RAG & Vector Search
- AI Agents, Agent Bricks & Multi-Agent Systems
- MCP (Model Context Protocol) & LLMOps
Topics: Performance optimization, real-time streaming, and infrastructure automation Learn: Optimize at scale, implement real-time streaming, automate infrastructure with Terraform and DABs
- Lakebase (Postgres Managed)
- Real-Time Mode for Structured Streaming
- Performance Tuning: Os 5s
- Advanced Cluster Tuning
- Databricks Apps: Full-Stack
- Infrastructure as Code with Terraform
- Databricks Asset Bundles (DABs)