Learn how to work with source control for your machine learning projects. Source control is an essential part of machine learning operations (MLOps).

This course targets software developers looking to source data from inside and outside of the cloud. The content will also showcase methods and tools available using Microsoft Azure.

In this talk, you will look at how to create an application shell, which acts as a platform.

Gain expertise in using Apache Spark for large-scale data processing and analytics.

Learn how to process big data using Apache Spark and manage data lakes.

Learn how to create filters for Instagram and Facebook in Spark AR Studio with these easy-to-follow tutorials.

Dive into Apache Spark basics. Learn how this distributed computing framework handles big data processing efficiently, with an introduction to its key concepts and operations.

Build on your knowledge of Apache Spark with advanced topics. Explore Spark's powerful APIs for handling complex data processing tasks in distributed environments.

Explore Spark MLlib, the machine learning library for Apache Spark. Learn how to build and deploy scalable machine learning models in distributed environments.

Learn how to use Apache Spark with Scala for big data analytics. Explore Spark's architecture, APIs, and practical applications in distributed data processing.

Public speaking and presenting is not a talent you are born with, but a skill that anyone can learn!

Public speaking and presenting is not a talent you are born with, but a skill that anyone can learn!