Databricks Courses

Apache Spark (TM) SQL for Data Analysts

494 ratings at Coursera

Learn to use Apache Spark and Delta Lake for big data analytics with Databricks' 9-week course. Leverage SQL skills to extract valuable insights.

• Coursera
• 13 hours 42 minutes
• On-Demand
• Free Online Course (Audit)

Large Language Models: Foundation Models from the Ground Up

Explore the intricacies of Large Language Models with Databricks' 4-week course. Learn about transformer-based architectures, recent breakthroughs, and multi-modal developments in NLP.

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

Data Science Fundamentals for Data Analysts

53 ratings at Coursera

Learn the fundamentals of data science with Databricks in a 6-week course. Gain skills to solve real-world problems and execute your own data science projects.

• Coursera
• 18 hours 56 minutes
• On-Demand
• Free Online Course (Audit)

Applied Data Science for Data Analysts

49 ratings at Coursera

Sharpen your data science skills with Databricks' 5-week course. Learn unsupervised learning, feature engineering, tree-based models, and improve model performance with hyperparameter tuning.

• Coursera
• 16 hours 29 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 Bayesian Statistics

39 ratings at Coursera

Learn computational statistics with Databricks in a 4-week course. Master probability, Bayesian modeling, and inference using Python and Jupyter notebooks.

• Coursera
• 12 hours 47 minutes
• 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 in a 4-week course by Databricks. Gain skills in Python, Jupyter notebooks, and scalable inference.

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

Bayesian Inference with MCMC

20 ratings at Coursera

Learn Markov Chain Monte Carlo methods for Bayesian modeling and inference with Python in a 3-week course by Databricks, taught by Dr. Srijith Rajamohan.

• 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

Dive into big data processing with Apache Spark 3.0 and Delta Lake on Databricks. Learn top tuning tips, join operations, machine size selection, and job simplification in under an hour.

• YouTube
• 52 minutes
• On-Demand
• Free Online Course

An Introduction to Open Source Presto

Learn to use Presto, a popular distributed SQL engine for data lake analytics, in under an hour with Databricks. Ideal for ad hoc queries and data analysis.

• YouTube
• 21 minutes
• On-Demand
• Free Online Course

Architecting for Data Quality in the Lakehouse with Delta Lake and PySpark

Learn to architect for data quality in the lakehouse using Delta Lake and PySpark with Databricks. Understand data observability techniques and reliability across metadata, storage, and query engine tiers.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Online Course

Wizard Driven AI Anomaly Detection with Databricks in Azure

Learn to create AI anomaly detection models with Databricks in Azure, focusing on fraud detection across industries. This less than 1-hour program by Databricks covers unsupervised and supervised methods, and includes real-world case studies.

• YouTube
• 23 minutes
• On-Demand
• Free Online Course

Low-Latency & High-Concurrency Analytics Over Data Lakes

Learn how to deliver low-latency and high-concurrency analytics over data lakes with Databricks. This under 1-hour session includes practical examples and a live demo.

• YouTube
• 31 minutes
• On-Demand
• Free Online Course

Efficient Distributed Hyperparameter Tuning with Apache Spark

Learn to optimize machine learning models using Apache Spark and Hyperopt in this short, practical guide by Databricks. Ideal for those looking to scale up their training with Spark.

• YouTube
• 26 minutes
• On-Demand
• Free Online Course

PySpark in Apache Spark 3.3 and Beyond

Explore the latest updates in PySpark with Apache Spark 3.3 and beyond in this less than 1-hour material from Databricks. Learn about new functionalities, performance, and future roadmap.

• YouTube
• 35 minutes
• On-Demand
• Free Online Course