Distributed Systems Courses and Certifications

Edureka

Using Kafka on Confluent

Master Confluent Kafka for efficient data handling, exploring architecture, Kafka Connect, producers, consumers, replication, and streams. Gain practical skills for industry applications and data management.

• Coursera
• 11 hours 57 minutes
• Self-Paced
• Paid Course

Running Distributed TensorFlow using Vertex AI

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will use TensorFlow's distribution strategies and the Vertex AI platform to train and deploy a custom TensorFlow image classification model to classify an image class…

• Coursera
• 1 hour 30 minutes
• Self-Paced
• 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
• Self-Paced
• Paid Course

Packt

Managing Data as a Product: Scalable Data Architectures

Discover how to modernize data architectures using a data-as-a-product approach, building modular systems that scale and unlock greater value from your organization's data assets.

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

Board Infinity Career Certificate

Blockchain Technology Applied

Master blockchain development through hands-on experience with smart contracts, DApp creation, and advanced cryptography. Build secure, decentralized solutions while gaining practical industry-relevant expertise.

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

Packt

ROS 2 Foundations: Architecture, Programming & Core Concepts

Master ROS 2 architecture, programming, and core concepts through hands-on projects, building scalable robotic systems using nodes, DDS communication, and C++ implementation.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course

Coursera

Architect Resilient Microservices for AI Success

Master systematic dependency analysis, RED metrics optimization, and standardized microservice templates to build anti-fragile AI systems that improve under stress.

• Coursera
• 2 hours 14 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

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

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

Coursera

OpenTelemetry for Unified Observability

Master OpenTelemetry to instrument .NET applications with unified observability, export telemetry to Jaeger and Prometheus, and diagnose performance issues in distributed systems.

• Coursera
• 4 hours 34 minutes
• Self-Paced
• Paid Course

Coursera Career Certificate

Performance Engineering for Data Systems

Master SQL optimization, Spark tuning, and cloud infrastructure to build high-performance data systems that deliver measurable business value through hands-on engineering practices.

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

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

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

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