Distributed Computing Courses and Certifications

Learning PySpark

189 ratings at Udemy

Building and deploying data-intensive applications at scale using Python and Apache Spark

• Udemy
• 2 hours 29 minutes
• On-Demand
• Paid Course

Blockchain Scalability and its Foundations in Distributed Systems

120 ratings at Coursera

Explore blockchain scalability, consensus algorithms, and distributed systems to design secure and efficient blockchain solutions for large-scale applications.

• Coursera
• 11 hours 4 minutes
• On-Demand
• Paid Course

Edge Computing : Master the Next Frontier of Computing

97 ratings at Udemy

Master Edge Computing Revolution: From Basics to Real-World Applications, Build Your Future with This Technology

• Udemy
• 1 hour 47 minutes
• On-Demand
• Paid Course

Using GPUs to Scale and Speed-up Deep Learning

1 review

Training complex deep learning models with large datasets takes along time. In this course, you will learn how to use accelerated GPU hardware to overcome the scalability problem in deep learning.

• edX
• 5 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

Edureka

Introduction to PySpark

50 ratings at Coursera

Learn PySpark for efficient big data processing and analysis. Explore Spark architecture, distributed computing, and real-world applications. Enhance your skills in handling large-scale datasets and deriving valuable insights.

• Coursera
• 3 hours 38 minutes
• On-Demand
• Paid Course

EDUCBA

PySpark & Python: Hands-On Guide to Data Processing

41 ratings at Coursera

Master distributed data processing with Python and Apache Spark through hands-on RDD operations, DataFrame manipulation, MySQL integration, and scalable pipeline construction.

• Coursera
• 5 hours 21 minutes
• On-Demand
• Paid Course

Learn CUDA with Docker!

28 ratings at Udemy

Learrn to Code with CUDA with GPGPU-Simulators & Docker, Kickstart Your Computing and Data Science Career!

• Udemy
• 2 hours 58 minutes
• On-Demand
• Paid Course

Coursera

Big Data Technologies and Applications

12 ratings at Coursera

Explore essential Big Data technologies and their applications, learning to process and analyze massive datasets for actionable insights across various domains.

• Coursera
• 1 hour 31 minutes
• On-Demand
• Paid Course

Intro to Federated Learning

12 ratings at Coursera

Discover how to train AI models across distributed devices without sharing data using Flower framework, exploring privacy-preserving techniques and LLM fine-tuning methods.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

Big Data Processing with Hadoop and Spark

Unlock the power of Hadoop and Spark to process massive datasets efficiently through hands-on exercises with HDFS, MapReduce, and real-time analytics frameworks.

• Coursera
• 8 hours 46 minutes
• On-Demand
• Paid Course

Edureka Microcredential

PySpark for Data Science

Master PySpark's distributed computing capabilities for data processing, machine learning, and real-time analytics through hands-on projects and real-world applications in data science.

• Coursera
• 16 weeks, 5 hours a week
• On-Demand
• Paid Course

Edureka

PySpark in Action: Hands-On Data Processing

Master PySpark for distributed data processing, from RDD basics to advanced DataFrame operations and SQL queries. Handle big data efficiently using hands-on exercises and real-world applications.

• Coursera
• 15 hours 11 minutes
• On-Demand
• Paid Course

Hadoop and Spark Fundamentals: Unit 1

Discover Apache Hadoop ecosystem fundamentals, install HDP sandbox, master HDFS architecture, and explore Spark analytics for scalable big data processing and management.

• Coursera
• 6 hours 20 minutes
• On-Demand
• Paid Course

Edureka

Machine Learning with PySpark

Master distributed machine learning using PySpark MLlib to build scalable models, process large datasets, and implement advanced algorithms for classification, regression, and clustering in a big data environment.

• Coursera
• 13 hours 27 minutes
• On-Demand
• Paid Course

EDUCBA

Apache Spark: Apply & Evaluate Big Data Workflows

Master Apache Spark's distributed data processing through RDD operations, persistence strategies, and file format handling for scalable big data workflows.

• Coursera
• 4 hours 23 minutes
• On-Demand
• Paid Course