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.

Skills you'll gain: Responsible AI, Digital Transformation, Microsoft Azure, Collaborative Software, Health Technology, Patient Communication, Generative AI, Microsoft Teams, Health Informatics, Healthcare Ethics, Cloud Computing Architecture, Cloud Computing, Artificial Intelligence, Data Security
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Interactive Data Visualization, Enterprise Application Management, Cloud Deployment, Business Metrics, Event Monitoring, Kubernetes, Continuous Monitoring, Docker (Software), Microservices, Problem Management, Distributed Computing, Anomaly Detection
Intermediate · Course · 1 - 4 Weeks

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

Google Cloud
Skills you'll gain: Prompt Engineering, Google Gemini, Retrieval-Augmented Generation, Responsible AI, Generative AI Agents, Generative AI, Google Workspace, Google Cloud Platform, AI Security, AI Workflows, AI Product Strategy, Large Language Modeling, Prompt Patterns, AI Enablement, Data Governance, Cloud Computing, Business Strategy, Enterprise Security, Artificial Intelligence, Collaboration
Beginner · Specialization · 3 - 6 Months
Duke University
Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Peer Review, Regression Analysis, R (Software), Statistical Reporting, Probability Distribution, Statistical Analysis, Statistics, Data Analysis Software, Data Analysis, Probability & Statistics, Probability, R Programming, Statistical Modeling, Statistical Methods, Data Visualization
Beginner · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, LLM Application, Prompt Engineering, Model Deployment, Python Programming, Applied Machine Learning, Scalability, Natural Language Processing, Responsible AI, Machine Learning, Model Evaluation, Reinforcement Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Generative AI, Google Cloud Platform, Model Deployment, Tensorflow, Big Data, Keras (Neural Network Library), Data Preprocessing, CI/CD, Data Quality, Exploratory Data Analysis, Apache Airflow, Machine Learning, Applied Machine Learning, Data Migration, Model Evaluation, Data Lakes, Scikit Learn (Machine Learning Library), Cloud Computing
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Istio, Kubernetes, Cloud-Native Computing, Amazon Web Services, API Gateway, Serverless Computing, Restful API, Cloud Deployment, Microservices, Amazon DynamoDB, Cloud Applications, Redis, Apache Kafka, Data Management, Application Deployment, Containerization, Distributed Computing, NoSQL, Event-Driven Programming, Scalability
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Kubernetes, Prometheus (Software), Application Deployment, CI/CD, Grafana, DevOps, Command-Line Interface, Continuous Delivery, YAML, Git (Version Control System)
Beginner · Course · 3 - 6 Months
Skills you'll gain: Data Structures, Feature Engineering, MLOps (Machine Learning Operations), Java, Performance Tuning, Data Processing, Applied Machine Learning, System Monitoring, Scalability, Performance Analysis, Performance Testing, Tree Maps, Benchmarking, Graph Theory, Program Implementation
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Database Management, Cloud Applications, Virtual Networking
Beginner · Course · 3 - 6 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Large Language Modeling, Natural Language Processing, Vision Transformer (ViT), Deep Learning, PyTorch (Machine Learning Library), Tensorflow, Artificial Neural Networks, Embeddings, Computer Vision
Intermediate · Course · 1 - 4 Weeks