Databricks Courses

MLOps on Azure Databricks with MLflow

1 review

Explore MLOps on Azure Databricks with MLflow, focusing on Model Registry, Webhooks, and automated pipelines for effective machine learning model lifecycle management and deployment.

• YouTube
• 53 minutes
• On-Demand
• Free Video

Large Language Models: Foundation Models from the Ground Up

Explore innovations in transformer-based architectures, efficient fine-tuning, deployment considerations, and multi-modal developments for large language models in this comprehensive deep dive.

• edX
• 4 weeks, 4-8 hours a week
• On-Demand
• Free Online Course (Audit)

Introduction to Bayesian Statistics

88 ratings at Coursera

Learn probability, Bayesian modeling, and inference using Python and Jupyter notebooks. Gain hands-on experience with distributions, sampling algorithms, and computational statistics techniques.

• Coursera
• 12 hours 47 minutes
• On-Demand
• Free Online Course (Audit)

Large Language Models: Application through Production

45 ratings at edX

This course is aimed at developers, data scientists, and engineers looking to build LLM-centric applications with the latest and most popular frameworks. By the end of this course, you will have built an end-to-end LLM workflow that is ready for producti…

• edX
• 6 weeks, 4-10 hours a week
• On-Demand
• Free Online Course (Audit)

Introduction to PyMC3 for Bayesian Modeling and Inference

20 ratings at Coursera

Learn PyMC3 for Bayesian modeling and inference, covering basics, regression, classification, hierarchical models, metrics, and a COVID-19 case study. Hands-on examples using Python and Jupyter notebooks.

• Coursera
• 11 hours 43 minutes
• On-Demand
• Free Online Course (Audit)

Bayesian Inference with MCMC

20 ratings at Coursera

Explore Markov Chain Monte Carlo methods for Bayesian modeling and inference, with hands-on Python examples using PyMC3. Learn algorithms like Metropolis, Gibbs sampling, and Hamiltonian Monte Carlo.

• Coursera
• 14 hours 38 minutes
• On-Demand
• Free Online Course (Audit)

Tech Talk - Top Tuning Tips for Spark 3.0 and Delta Lake on Databricks

Learn top tuning tips for Apache Spark 3.0 and Delta Lake on Databricks. Discover optimal join strategies, machine sizing, merge operation speedups, and job simplification techniques for enhanced big data processing.

• YouTube
• 52 minutes
• On-Demand
• Free Video

Apache Spark NLP for Healthcare - Building Real-World AI Systems

Explore real-world healthcare AI systems using NLP, covering patient risk prediction, diagnosis automation, and revenue optimization. Learn key considerations for building domain-specific models and scalable ML pipelines.

• YouTube
• 37 minutes
• On-Demand
• Free Video

Building a Data Platform for Mission-Critical Analytics on AWS with Databricks

Explore building enterprise data lakes on AWS with Databricks, complementing AWS strategy. Learn from HP's success in transforming business through unified data analytics and overcoming data lake challenges.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Delta from a Data Engineer's Perspective - Creating Robust Big Data Solutions

Explore a data engineer's challenges in creating robust Big Data solutions, covering Delta, Spark streaming, schema enforcement, and time travel functionality in data processing.

• YouTube
• 41 minutes
• On-Demand
• Free Video

Running Apache Spark on Kubernetes - Best Practices and Pitfalls

Learn best practices and pitfalls for running Apache Spark on Kubernetes, covering setup, performance optimization, resource management, security, and future developments in this comprehensive overview.

• YouTube
• 25 minutes
• On-Demand
• Free Video

Portable and Scalable Data Visualization Techniques for Apache Spark and Python Notebooks

Explore portable and scalable data visualization techniques for Apache Spark and Python notebooks, covering strategies, packages, headless rendering, animations, and big data integration.

• YouTube
• 27 minutes
• On-Demand
• Free Video

Productionizing Machine Learning with Microservices Architecture

Learn to deploy ML models as microservices using Spark, enabling auto-scaling, versioning, and security. Discover how to aggregate real-time and historical data for inferencing and create actionable insights.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Preventing Common Pitfalls in Production Streaming Jobs

Explore key strategies for optimizing streaming jobs in production, covering input parameters, stateful streaming, output configurations, and job modifications to ensure performance and fault tolerance.

• YouTube
• 54 minutes
• On-Demand
• Free Video

Composable Data Processing with Apache Spark - Scaling Development and Error Handling

Learn about SIP, an extensible plugin framework for Apache Spark that enhances data processing efficiency, error handling, and scalability in Adobe's Experience Platform.

• YouTube
• 28 minutes
• On-Demand
• Free Video