Course catalog
Showing 21-40 of 264 items.
Apache Flink: Real-Time Data Engineering
Discover how to build a real-time stream processing pipeline with Apache Fink. Learn about the platform's windowing, event-time processing, and state management features.
Apache PySpark by Example
Get up and running with Apache Spark quickly. This practical hands-on course shows Python users how to work with Apache PySpark to leverage the power of Spark for data science.
Apache Spark Deep Learning Essential Training
Learn how to do deep learning with images on Apache Spark, using the Databricks deep learning library and Python.
Apache Spark Essential Training
Get up to speed with Spark, and discover how to leverage this powerful platform to efficiently and effectively work with big data.
Apache Spark Essential Training: Big Data Engineering
Discover how to make Apache Spark work with other big data technologies to build data pipelines for data engineering and DevOps.
Applied AI for Human Resources
Learn how to use AI to solve common HR challenges, such as recommending training and screening candidates, and to improve employee hiring, satisfaction, and retention.
Applied AI for IT Operations
Solve common challenges in IT operations using the power of AI. Review use cases in the world of IT ops and learn how to apply AI technologies to address key problems.
Applied Machine Learning: Algorithms
Learn how machine learning algorithms work. Explore a variety of algorithms and learn how to set a structure that guides you through picking the best one for the problem at hand.
Applied Machine Learning: Foundations
Generate impactful insights with the power of machine learning. Get the foundational skills needed to efficiently solve nearly any kind of machine learning problem.
Architecting Big Data Applications: Batch Mode Application Engineering
Learn about use cases and best practices for architecting batch mode applications using big data technologies such as Hive and Apache Spark.
Architecting Big Data Applications: Real-Time Application Engineering
Learn about use cases and best practices for architecting real-time applications using big data technologies, such as Hazelcast and Apache Spark.
Artificial Intelligence Foundations: Machine Learning
Learn how to use machine learning to make better decisions and find patterns in your data.
Artificial Intelligence Foundations: Neural Networks
Learn the key concepts behind artificial neural networks. Discover how to configure a neural network and use that network to find patterns in massive data sets.
Artificial Intelligence Foundations: Thinking Machines
Learn the key concepts behind artificial intelligence (AI), including strong and weak AI, approaches such as machine learning, and practical uses for new AI-enhanced technologies.
AWS Machine Learning by Example
Take a deeper dive into machine learning with Amazon Web Services (AWS). Learn how to approach common machine learning tasks using key techniques.
Azure Databricks Essential Training
Learn best practices, patterns, and processes for developers and DevOps teams who want to design and implement data processing using Azure Databricks.
Big Data Analytics with Hadoop and Apache Spark
Discover how to build scalable and optimized data analytics pipelines by combining the powers of Apache Hadoop and Spark.
Big Data in the Age of AI
Explore big data and how it works. Learn about big data's relationship to AI, data science, social media, and the Internet of Things (IoT).
Blockchain Basics
Blockchain technology presents a disruptive new way of conducting transactions over the internet. In this course, learn what the blockchain is and what it might mean to you.
Blockchain: Learning Solidity
Add the power of blockchain to your applications. Learn how to build blockchain-based smart contracts with Solidity and eliminate the middleman in sensitive transactions.