Distributed Training Courses and Certifications

Maximum Entropy Methods

10 ratings

In this tutorial, Simon DeDeo introduces MaxEnt through a series of examples, taking students from the basics of the subject up to its applications in science and engineering

• Complexity Explorer
• 1 hour
• Self-Paced
• Free Certificate

TensorFlow

Distributed TensorFlow Training - Google I/O 2018

Learn to scale TensorFlow training across multiple GPUs and machines efficiently. Explore distribution strategies, performance optimization techniques, and practical implementation using Google Cloud.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

Managerial Accounting: Tools for Facilitating and Guiding Business Decisions

5 ratings

Explore managerial accounting tools for resource allocation, performance measurement, and strategic decision-making. Learn budgeting, capital investment evaluation, variance analysis, and performance measurement systems.

• Coursera
• 25 hours
• Self-Paced
• Paid Course

Understanding Data Engineering

Discover how data engineers lay the groundwork that makes data science possible. No coding involved!

• DataCamp
• 2 hours
• Self-Paced
• Free Trial Available

Introduction to Data Engineering

Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Writing Efficient R Code

Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Introduction to PySpark

Master PySpark to handle big data with ease—learn to process, query, and optimize massive datasets for powerful analytics!

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Introduction to Apache Kafka

Master Apache Kafka! From core concepts to advanced architecture, learn to create, manage, and troubleshoot Kafka for real-world data streaming challenges!

• DataCamp
• 2 hours
• Self-Paced
• Free Trial Available

Parallel Programming with Dask in Python

Learn how to take the Python workflows you currently have and easily scale them up to large datasets without the need for distributed computing environments.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Parallel Computing in R

This course covers in detail the tools available in R for parallel computing.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Big Data with PySpark

Master how to process big data and leverage it efficiently with Apache Spark using the PySpark API.

• DataCamp
• 1 day 1 hour
• Self-Paced
• Free Trial Available

Multi-Agent Systems with LangGraph

Build powerful multi-agent systems by applying emerging agentic design patterns in the LangGraph framework.

• DataCamp
• 2 hours 45 minutes
• Self-Paced
• Free Trial Available

Big Data in R

Work with big data in R via parallel programming, interfacing with Spark, writing scalable & efficient R code, and learn ways to visualize big data.

• DataCamp
• 16 hours
• Self-Paced
• Free Trial Available

Parallel Programming with Dask in Python

Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Creating Robust Workflows in Python

Learn to develop a set of principles for your data science and software development projects.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available