Distributed computing courses can help you learn parallel processing, cloud architecture, data distribution techniques, and fault tolerance. You can build skills in optimizing resource allocation, ensuring data consistency, and managing large-scale applications. Many courses introduce tools like Apache Hadoop, Spark, and Kubernetes, that support implementing distributed systems and managing workloads effectively.

University of California, Irvine
Skills you'll gain: Project Schedules, Milestones (Project Management), Cost Estimation, Project Controls, Project Estimation, Quality Management, Project Planning, Budget Management, Scheduling, Estimation, Project Management, Timelines, Resource Allocation, Resource Planning, Capacity Planning, Work Breakdown Structure, Matrix Management, Dependency Analysis
Mixed · Course · 1 - 3 Months

Skills you'll gain: Kubernetes, Containerization, Google Cloud Platform, Cloud Infrastructure, Cloud Services, Cloud Management, Application Deployment, Cloud Computing, Docker (Software), Microservices
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Education Software and Technology, Learning Management Systems, Digital pedagogy, Teamwork, Collaboration, Classroom Management, Creative Problem-Solving, Innovation, Creativity, Motivational Skills
Beginner · Course · 1 - 4 Weeks

LearnKartS
Skills you'll gain: Prompt Engineering, Amazon Bedrock, Retrieval-Augmented Generation, Generative AI, Model Evaluation, Embeddings, Model Deployment
Intermediate · Course · 1 - 4 Weeks

KodeKloud
Skills you'll gain: Cloud Engineering, Site Reliability Engineering, Amazon Elastic Compute Cloud, Amazon CloudWatch, Cloud-Native Computing, Kubernetes, Continuous Delivery, AWS Identity and Access Management (IAM), Infrastructure as Code (IaC), System Monitoring, Serverless Computing, Performance Testing, Scenario Testing
Beginner · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Deep Learning, Artificial Neural Networks, Embeddings, Transfer Learning, Hugging Face, Data Processing, Time Series Analysis and Forecasting
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Containerization, Kubernetes, Application Deployment, Google Cloud Platform, Cloud Deployment, Capacity Management, Application Development, Scalability, System Monitoring
Beginner · Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Google Cloud Platform, Relational Databases, Database Management, Databases, Data Migration, Operational Databases, Database Architecture and Administration, Query Languages, Cloud Computing Architecture, Distributed Computing, System Monitoring, Terraform, Dataflow, Data Maintenance, Application Deployment
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Business Transformation, Responsible AI, Business Intelligence, Data Quality, Machine Learning, Natural Language Processing, Model Deployment, Applied Machine Learning, Cloud API, Data Analysis, Image Analysis
Beginner · Course · 1 - 4 Weeks

Pearson
Skills you'll gain: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, Model Deployment, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Vision Transformer (ViT), LLM Application, Transfer Learning, Computer Vision, Responsible AI, Natural Language Processing, Embeddings, Keras (Neural Network Library), Generative AI, Artificial Neural Networks, Multimodal Prompts
Intermediate · Specialization · 1 - 4 Weeks

Skills you'll gain: Tensorflow, Keras (Neural Network Library), Data Preprocessing, Google Cloud Platform, Data Pipelines, Model Deployment, Data Transformation, Deep Learning, Artificial Neural Networks, Application Programming Interface (API)
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Exploratory Data Analysis, Statistical Visualization, Data Visualization Software, R Programming, Ggplot2, Plot (Graphics), Statistical Methods, Data Analysis, Unsupervised Learning, Spatial Data Analysis, Dimensionality Reduction, Graphical Tools, Color Theory, Analytics
Mixed · Course · 1 - 4 Weeks