Distributed Systems Courses and Certifications

Career Certificate

Cloud Computing for Data Science

5 ratings at Coursera

Master cloud technologies for scalable data solutions through distributed systems, APIs, containerization, and big data processing with Hadoop and Spark.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Modern Redis Unleashed

1006 ratings at Udemy

Today's Redis is more than a cache! Learn how Redis can replace NoSQL, Elasticsearch, Neo4j, Kafka, and more.

• Udemy
• 2 hours 5 minutes
• Self-Paced
• 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
• Self-Paced
• Paid Course

Edureka Career Certificate

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/week
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Paid Course

Birla Institute Of Technology And Science–Pilani (BITS–Pilani)

Cloud Computing Fundamentals

Master cloud computing from fundamentals to AWS deployment, covering virtualization, IaaS, PaaS, SaaS, auto-scaling, Kubernetes scheduling, and security challenges with hands-on labs.

• Coursera
• 5 days 12 hours 2 minutes
• Self-Paced
• Paid Course

Data Processing, Exploratory Analysis and Visualization

Master distributed computing with Apache Spark, PySpark, and Spark SQL, then create compelling Power BI dashboards for large-scale data analysis and business insights.

• Coursera
• 1 day 5 hours 10 minutes
• Self-Paced
• 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
• Self-Paced
• Paid Course

Coursera

Datadog: Performance Monitoring Tool

Master Datadog APM for cloud environments through hands-on labs covering agent deployment, trace analysis, dashboard design, and intelligent alerting strategies.

• Coursera
• 3 hours 54 minutes
• Self-Paced
• Paid Course

Azure Synapse Apache Spark Pools: Data engineering

Master Apache Spark in Azure Synapse Analytics for data engineering, including Delta Lake for ACID transactions, data transformation techniques, and visualization using SQL, notebooks, and Python libraries.

• edX
• 1 week, 1-2 hours/week
• Self-Paced
• Free Online Course (Audit)

Coursera

Architecting and Integrating Scalable AI Systems

Master the design of end-to-end AI architectures, integrating ML models into production using cloud platforms, APIs, and monitoring tools to build scalable, reliable systems.

• Coursera
• 10 hours 42 minutes
• Self-Paced
• Paid Course

AWS Developer: Unit 9

Explore AWS messaging services including SQS, SNS, and SES to build efficient microservice architectures with hands-on queue management and email delivery at scale.

• Coursera
• 2 hours 49 minutes
• Self-Paced
• Paid Course

Exploring Memorystore for Redis Cluster

Explore capabilities of Memorystore for Redis Cluster in Google Cloud console through hands-on practice. Gain practical experience with this powerful caching solution.

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Packt

Edge Computing Patterns for Solution Architects

Master architectural patterns for designing resilient, scalable edge computing solutions across hybrid and multi-cloud environments with hands-on strategies and real-world examples.

• Coursera
• 14 hours 59 minutes
• Self-Paced
• Paid Course