Scientific computing courses can help you learn numerical methods, data analysis, algorithm development, and simulation techniques. You can build skills in programming languages like Python and R, as well as mathematical modeling and statistical analysis. Many courses introduce tools such as MATLAB, NumPy, and SciPy, that support implementing algorithms and processing large datasets effectively.

Skills you'll gain: Convolutional Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Artificial Neural Networks, Image Analysis, Computer Vision, Applied Machine Learning, Classification Algorithms, Model Deployment, Data Preprocessing, Network Architecture, Model Evaluation
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Continuous Deployment, R Programming, Dashboard, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Docker (Software), Application Programming Interface (API)
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Visualization Software, Data Wrangling, Data Manipulation, Google Cloud Platform, Data Import/Export, Data Transformation, Data Cleansing, Data Analysis, Sampling (Statistics), Course Development
Beginner · Project · Less Than 2 Hours

Microsoft
Skills you'll gain: Microsoft Copilot, Version Control, Collaborative Software, GitHub, Microsoft Visual Studio, Software Documentation, AI Workflows, R Programming, Git (Version Control System), Computer Programming Tools, Debugging
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Generative Adversarial Networks (GANs), Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, Convolutional Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Data Preprocessing, Embeddings, Network Architecture, Matplotlib, Jupyter, NumPy
Advanced · Course · 3 - 6 Months

Skills you'll gain: Apache Spark, PySpark, Model Evaluation, Data Preprocessing, Keras (Neural Network Library), Transfer Learning, Deep Learning, Tensorflow, A/B Testing, Data Ethics, Convolutional Neural Networks, Machine Learning Software, Data Cleansing, Machine Learning, Recurrent Neural Networks (RNNs), MLOps (Machine Learning Operations), Artificial Intelligence, Dimensionality Reduction
Advanced · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Artificial Neural Networks, Model Evaluation, Decision Tree Learning, Network Planning And Design, Machine Learning, Computer Vision
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Distributed Denial-Of-Service (DDoS) Attacks, Data Loss Prevention, Google Cloud Platform, Cloud Security, Threat Detection, Event Monitoring, Continuous Monitoring, System Monitoring, Personally Identifiable Information, Data Security, Load Balancing, System Software
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Dataflow, Serverless Computing, Identity and Access Management, Data Pipelines, Data Infrastructure, Data Processing, Cloud Security, Apache Hadoop, Google Cloud Platform, Containerization, Scalability
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Kubernetes, Cloud-Native Computing, Google Cloud Platform, Application Deployment, Data Persistence, Cloud Applications, Load Balancing, Scalability, Containerization, Cloud Storage, General Networking, Configuration Management
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Google Cloud Platform, Generative AI, MLOps (Machine Learning Operations), Model Deployment, Tensorflow, AI Workflows, Artificial Intelligence, Cloud Infrastructure, Machine Learning, Natural Language Processing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Animation and Game Design, Unity Engine, User Interface (UI), Game Design, Video Game Development, User Interface (UI) Design, Visualization (Computer Graphics), C# (Programming Language), Scripting
Mixed · Course · 1 - 4 Weeks