AMP Camps are Big Data training events organized by the UC Berkeley AMPLab that teach big data analytics, machine learning, and popular open-source technologies including projects produced by the AMPLab. All AMP Camp curriculum, and whenever possible videos of instructional talks presented at AMP Camps, are published here and accessible for free.

Hands-on Big Data Mini Course

Check out our online Big Data Mini Course! The full course will take 2-4 hours to complete, and in the process you will:

• Start a ~5 node cluster on EC2 running Hadoop and the Berkeley Data Analytics Stack (BDAS).
• Interactively explore a real Wikipedia dataset at the Spark and Shark shells.
• Use Spark Streaming and the Twitter API to generate a real-time list of trending Twitter topics.
• Write a data clustering algorithm and run it on a real Wikipedia dataset and observe interesting correlations.

AMP Camp – Big Data Bootcamps

AMP Camp Two – Big Data Bootcamp Strata 2013 was a full day event at the O’Reilly Strata Conference in Santa Clara February 26, 2013. The AMP Camp Two hands-on exercises are an expanded and polished version of the exercises from AMP Camp One that include lessons on Spark Streaming as well as the new Python and Java Spark APIs. Find out more at the AMP Camp Two page.

AMP Camp One – Big Data Bootcamp 2012 was hosted in Berkeley (and streamed live online) August 21-22, 2012. It featured AMP Camp One hands-on exercises teaching Big Data analysis using the AMPLab software stack, including Spark, Shark, and Mesos. Find links to the slides and video archives of the AMP Camp One talks on the AMP Camp One page.

About the AMPLab

The UC Berkeley AMPLab works at the intersection of machine learning, cloud computing, and crowdsourcing; integrating Algorithms, Machines, and People (AMP) to make sense of Big Data.