Parallel computing courses can help you learn about distributed systems, concurrency, and performance optimization techniques. You can build skills in task scheduling, load balancing, and debugging parallel applications. Many courses introduce tools like MPI (Message Passing Interface) and OpenMP, that support implementing parallel algorithms and enhancing computational efficiency.

University of Michigan
Skills you'll gain: NumPy, Debugging, Pandas (Python Package), Statistics, Data Analysis, Descriptive Statistics, Data-oriented programming, Data Processing, Maintainability, Numerical Analysis, Critical Thinking, Technical Support
Intermediate · Specialization · 3 - 6 Months

Google Cloud
Skills you'll gain: Data Lakes, Data Governance, Data Architecture, Data Management, Cloud Storage, Database Management, Data Warehousing, Data Access, Metadata Management, NoSQL, Star Schema, Data Quality, Big Data, Query Languages, Data Integration, Application Programming Interface (API), Performance Tuning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Feature Engineering, Data Processing, Extract, Transform, Load, Predictive Modeling, Data Transformation, Regression Analysis
Intermediate · Course · 1 - 4 Weeks

The University of Edinburgh
Skills you'll gain: Sustainable Development, Cooperation, Discussion Facilitation, Collaboration, Research, Community Development, Creative Thinking, Community Outreach, Climate Change Adaptation, Student Engagement, Environmental Policy, Climate Change Mitigation, Education and Training
Beginner · Course · 1 - 4 Weeks

University of California San Diego
Skills you'll gain: Apache Hadoop, Big Data, Data Science, Scalability, Data Processing, Data Analysis, Distributed Computing, File Systems, Virtual Machines
Mixed · Course · 1 - 3 Months

Board Infinity
Skills you'll gain: Billing Systems, Cloud Computing, Billing, Cloud Management, Cloud Services, Cost Management, Cost Control, Budget Management, Cloud Infrastructure, Operating Cost, Dashboard, Resource Utilization, Budgeting, Virtual Machines, Multi-Cloud, Cost Accounting, Cross-Functional Collaboration, Financial Management, Expense Management, Anomaly Detection
Intermediate · Specialization · 1 - 3 Months

University of Alberta
Skills you'll gain: International Relations, Socioeconomics, Cultural Sensitivity, Global Marketing, Cultural Diversity, Natural Resource Management, World History, Culture, Sustainable Development, Economic Development, Economics, Environment and Resource Management, Governance
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Cloud Engineering, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Applied Machine Learning, Machine Learning Methods, Serverless Computing, Amazon S3, Machine Learning, Machine Learning Algorithms, Python Programming
Advanced · Course · 1 - 3 Months

Skills you'll gain: Serverless Computing, Google Cloud Platform, Cloud Applications, Cloud Services, Application Development, Containerization, Cloud-Based Integration, Cloud Security, Application Deployment, Identity and Access Management, Scalability
Beginner · Course · 1 - 3 Months

Tencent Cloud
Skills you'll gain: Cloud Management, Data Storage, Serverless Computing, Cloud Computing, Scalability, Cloud Infrastructure, System Monitoring, Load Balancing, Cloud Security, Virtual Local Area Network (VLAN), Database Management, Application Deployment, Servers, Identity and Access Management, Data Migration
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Data Quality, Machine Learning, Applied Machine Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Google Cloud Platform, MLOps (Machine Learning Operations), Supervised Learning, Machine Learning Algorithms, Data Strategy, Predictive Modeling, Artificial Neural Networks, Dataflow, Data Pipelines, Performance Tuning, Deep Learning
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling
Beginner · Guided Project · Less Than 2 Hours