Databricks Courses

Different Streaming Methods with Apache Spark and Kafka

Explore real-time analytics using Apache Spark and Kafka. Learn about streaming methods, overcoming technical challenges, and innovative solutions for handling billions of daily events in a scalable, cost-efficient manner.

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

MLflow and Azure Machine Learning - The Power Couple for ML Lifecycle Management

Explore MLflow and Azure Machine Learning integration for streamlined ML lifecycle management, covering versioning, run history, automation, deployment, and CI/CD pipelines in MLOps.

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

Machine Learning at Scale with MLflow and Apache Spark

Explore Société Générale's journey in scaling machine learning, focusing on MLflow and Apache Spark for production deployment, CI/CD pipelines, and overcoming challenges in large-scale ML implementation.

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

Simplify and Scale Data Engineering Pipelines with Delta Lake

Learn to build scalable data engineering pipelines using Delta Lake's multi-hop architecture. Discover how to progress from raw data ingestion to machine learning-ready datasets efficiently and effectively.

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

Revolutionizing Legal Industry with Spark, NLP and Azure Databricks - Clifford Chance Case Study

Explore how a top law firm revolutionizes operations using advanced analytics, Spark, NLP, and Azure Databricks to handle millions of legal documents and enhance client relationships.

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

Scalable AI for Environmental and Social Impact

Explore Microsoft's AI contributions to Apache Spark and Machine Learning, focusing on environmental and social impact projects like art exploration and endangered species protection.

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

Building GenAI-Powered Solutions Using Mosaic ML, DBRX LLM and LLMOps

Explore LLMs and Generative AI's potential to revolutionize industries. Learn about Databricks Mosaic ML Training Platform, DBRX models, and LLMOps for streamlined AI adoption and innovation in healthcare and insurance.

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

Simplify GenAI App Development with Secure, Custom AI Agents

Explore best practices for managing AI model lifecycles, focusing on governance, monitoring, and performance tracking to ensure compliance and optimize delivery in production environments.

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

Databricks Serverless Security - Serverless Compute Isolation

Explore Databricks' serverless compute isolation techniques, including defense-in-depth strategies and multi-layered security measures to minimize risks in the intelligent data warehouse environment.

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

Bringing Satellite Data Down to Earth - Challenges and Opportunities

Explore the integration of satellite data with enterprise systems, unlocking new insights through earth observation and AI. Learn about challenges, opportunities, and use cases in this emerging field.

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

Building an AI Assistant for BI - The Good, the Bad, and the Ugly

Explore challenges and lessons learned in developing AI-powered assistants for data visualization, addressing unique issues in business intelligence workflows and data exploration.

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

Data Observability for Non-Technical Teams - Eliminating Broken Dashboards

Explore data observability's role in enhancing data pipeline reliability for non-technical teams, enabling seamless analytics and preventing dashboard failures.

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

Version Control for Lakehouse Architecture - Essential Practices and Benefits

Discover how to implement data version control using lakeFS for improved data quality, reproducibility, and experimentation in Databricks data/ML pipelines, enhancing overall product value.

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

Streaming Data Enrichment and Analysis with Redpanda, CDC, and Python

Explore real-time data enrichment using streaming platforms, Debezium for CDC, and Python-based ML for sentiment analysis. Learn strategies for data aggregation and visualization in modern streaming architectures.

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

Building a Multimodal Data Lakehouse with the Daft Distributed Python Dataframe

Explore Daft, a next-gen distributed query engine for processing multimodal data at scale. Learn to build a multimodal data lakehouse using familiar dataframe interfaces on existing infrastructure.

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