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.

Google Cloud
Skills you'll gain: Network Architecture, Network Planning And Design, Cloud Computing Architecture, Virtual Networking, Network Infrastructure, Google Cloud Platform, General Networking, Network Routing, Network Security, Network Troubleshooting, Network Model, Network Analysis, Firewall, Load Balancing, Scalability
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Artificial Neural Networks, Tensorflow, Analytics, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Classification And Regression Tree (CART), Business Analytics, Deep Learning, Machine Learning, Risking, Model Evaluation, Mortgage Loans, Consumer Lending
Intermediate · Guided Project · Less Than 2 Hours

Duke University
Skills you'll gain: Exploratory Data Analysis, Sampling (Statistics), Probability Distribution, Bayesian Statistics, Data Analysis, Statistical Analysis, Probability, R Programming, Statistics, Quantitative Research, Descriptive Statistics, Statistical Inference
Beginner · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Identity and Access Management, Cloud Management, Google Cloud Platform, Cloud Computing, Command-Line Interface, Cloud Platforms, Authorization (Computing), Software Installation
Beginner · Project · Less Than 2 Hours

Skills you'll gain: CI/CD, Microsoft Azure, Data Lakes, Microsoft Power Platform, Azure Synapse Analytics, Data Pipelines, Analytics, Data Governance, Advanced Analytics, Data Security, Data Management, Data Analysis Expressions (DAX), Power BI, Microsoft Excel, Exploratory Data Analysis, Apache Spark, Application Deployment, SQL, Governance, Version Control
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Software Documentation, Leaflet (Software), Data Preprocessing, Technical Documentation, Data Cleansing, Data Visualization Software, Code Review, R Programming, GitHub, Continuous Integration, Software Testing
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Ggplot2, Plot (Graphics), Data Visualization Software, Exploratory Data Analysis, Data Presentation, Data Storytelling, Scatter Plots, Tidyverse (R Package), R Programming, Box Plots, Histogram, Animations, Data Manipulation
Mixed · Course · 1 - 3 Months

Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Model Deployment, Data Warehousing, Data Lakes, Real Time Data, Data Preprocessing, Dashboard, Cloud Engineering, Tensorflow, Data Infrastructure, Apache Spark, Big Data, Extract, Transform, Load, Cloud Storage, Data Processing, PySpark, Applied Machine Learning, Serverless Computing
Intermediate · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Large Language Modeling, Recurrent Neural Networks (RNNs), Natural Language Processing, Prompt Engineering, Artificial Neural Networks, Transfer Learning, Deep Learning, PyTorch (Machine Learning Library), Embeddings, Model Evaluation, Model Deployment, Network Architecture
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Evaluation, Data Transformation, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Generative Adversarial Networks (GANs), Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), NumPy, Transfer Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Artificial Intelligence, Data Preprocessing, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Artificial Neural Networks, Image Analysis, Machine Learning, Data Science
Intermediate · Specialization · 3 - 6 Months

Google Cloud
Skills you'll gain: Security Information and Event Management (SIEM), Security Management, Event Monitoring, Threat Detection, Continuous Monitoring, System Monitoring, Network Security, Google Cloud Platform, Cloud Computing
Beginner · Project · Less Than 2 Hours