Databricks Courses

What's New with Databricks Machine Learning

Explore Databricks' latest ML innovations, from data preparation to model deployment, in a detailed demo showcasing simplified lifecycle management and enhanced productivity features.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Growing the Delta Ecosystem - Delta-RS for Rust and Python

Explore delta-rs, a Rust library extending Delta Lake beyond Spark. Learn its current capabilities, roadmap, and real-world application in kafka-delta-ingest for high-throughput data transfer.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Testing ML Models in Production - Detecting Data and Concept Drift

Explore robust ML model testing in production using MLflow, SciPy, and statsmodels. Learn key statistical tests, metrics for drift detection, and gain practical insights for maintaining model effectiveness.

• YouTube
• 55 minutes
• Self-Paced
• Free Video

Considerations for Data Access in Lakehouse Architectures

Explore data access considerations in lakehouse architectures, covering fine-grained controls, row-level segmentation, and BI tool integration for effective data governance and management.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

AI at Scale: Industrializing ML with Databricks

Learn to industrialize ML applications, accelerate model delivery, and optimize data science workflows while maintaining high governance standards using Databricks Lakehouse platform for enterprise-scale AI solutions.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Productionizing ML Models Using MLflow Model Serving

Explore MLflow Model Serving for efficient ML model deployment, consumption, and monitoring. Learn to deploy versions, validate, connect to Power BI, and manage access rights.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Databricks Lakehouse Platform - Governance and Security Fundamentals

Learn fundamentals of governance and security for cloud data platforms, covering identity management, private links, access monitoring, cost control, and policy enforcement for workspaces.

• YouTube
• 55 minutes
• Self-Paced
• Free Video

Consolidating MLOps at Schiphol Airport Using MLFlow

Explore how Schiphol Airport leverages MLFlow for rapid iteration, deployment, and monitoring of mission-critical machine learning models, enabling multiple weekly releases and efficient adaptation to changing dynamics.

• YouTube
• 50 minutes
• Self-Paced
• Free Video

MLflow Model Serving - Methods and Best Practices

Explore MLflow model serving techniques, including batch and real-time scoring, open-source and Databricks-managed options, with emphasis on new production-ready model serving features.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Apache TVM: Optimizing ML Models for Edge Deployment - Deep Dive and Demo

Explore Apache TVM's machine learning compiler to optimize deep learning models for faster inference on various hardware, reducing costs and improving performance.

• YouTube
• 49 minutes
• Self-Paced
• Free Video

Building Lakehouses on Delta Lake with SQL Analytics

Learn to build lakehouses using Delta Lake, perform SQL analytics, and connect BI tools. Explore data management techniques, governance models, and implementation examples for efficient data processing and analysis.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Implementing MLOps - From Experimentation to Industrialization

Learn best practices for implementing MLOps in global organizations, covering key challenges, engagement models, team structures, and tool requirements for successful productionization of machine learning solutions.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Make Reliable ETL Easy on Delta Lake

Learn to simplify ETL development on Delta Lake, improving data quality and scaling operations. Discover how Databricks streamlines the ETL lifecycle for efficient data engineering and management.

• YouTube
• 45 minutes
• Self-Paced
• Free Video

Delta Lake Streaming - Internals and Query Progress Logs

Explore Delta Lake streaming internals, focusing on structured streaming components, Query Progress Logs, and checkpoint directories for efficient real-time data pipeline management.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Building Data Quality Pipelines with Apache Spark and Delta Lake

Learn to build robust data quality pipelines using Apache Spark and Delta Lake. Explore rule templates, reporting models, and PowerBI integration for effective data remediation and self-healing in enterprise environments.

• YouTube
• 27 minutes
• Self-Paced
• Free Video