Distributed Training Courses and Certifications

Coursera

OpenCL Programming

Master OpenCL programming for parallel computing across CPUs, GPUs, and FPGAs. Develop high-performance applications, optimize kernels, manage memory efficiently, and scale computations for AI, scientific simulations, and more.

• Coursera
• 3 hours 41 minutes
• Self-Paced
• Paid Course

Coursera Career Certificate

Blueprint to Bytecode: Architecting Scalable AI Systems

Master the full AI systems lifecycle—from data pipelines and GPU clusters to cloud deployment—using Kubernetes, Docker, SageMaker, and MLOps best practices to build scalable, production-ready enterprise AI solutions.

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

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

Multicore and GPGPU Programming

Master parallel programming with multicore CPUs and GPUs, covering CUDA, Pthreads, MPI, and OpenMP to build high-performance, multi-threaded applications with optimised resource utilisation.

• Coursera
• 56 hours
• 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

2026 Cryptocurrency Definitions For Beginners

Discover blockchain technology and cryptocurrency fundamentals in this beginner-friendly introduction covering wallets, applications, and real-world usage.

• Coursera
• 1 hour 38 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)

Multicore and GPGPU Programming

Master parallel programming with multicore CPUs and GPUs, covering CUDA, Pthreads, MPI, and OpenMP to build high-performance, multi-threaded applications for modern computing architectures.

• Coursera
• 3 days 3 hours 9 minutes
• Self-Paced
• Paid Course

Oracle

Oracle HeatWave MySQL Foundation

Master HeatWave's in-memory query acceleration for MySQL, covering cluster configuration, Autopilot features, and performance optimization techniques for analytics and mixed workloads.

• Coursera
• 5 hours 23 minutes
• Self-Paced
• Paid Course

Coursera

GPU Clusters & Containers

Unlock distributed AI training and production deployment using cloud GPU clusters and containerization strategies for scalable machine learning systems.

• Coursera
• 2 hours 5 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

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

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

Pragmatic AI Labs

Agentic AI: Actor Models and Subagent Architecture

Master agentic AI systems using actor model principles, subagent architecture, and multi-language implementations in Rust, Go, and Deno for fault-tolerant, production-ready AI solutions.

• Coursera
• 4 hours 6 minutes
• Self-Paced
• Paid Course