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.

Università di Napoli Federico II
Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Deep Learning, Computer Vision, Transfer Learning, Keras (Neural Network Library), Jupyter, Data Manipulation, Machine Learning Methods, Applied Machine Learning, Scikit Learn (Machine Learning Library)
Intermediate · Course · 1 - 3 Months

Infosec
Skills you'll gain: Secure Coding, C and C++, Application Security, System Programming, C++ (Programming Language), C (Programming Language), Security Engineering, Interoperability, Unix, Embedded Software, Information Systems Security, OS Process Management, Embedded Systems, Operating Systems, Data Security, Memory Management, Authorization (Computing), Linux
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Data Integrity, Data Management, Cloud Management, Data Loss Prevention, Cloud Storage, Data Storage, Security Controls, Cloud Standards, Identity and Access Management
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: LLM Application, Tool Calling, Large Language Modeling, Retrieval-Augmented Generation, Command-Line Interface, Embeddings, Python Programming, Application Development, Vector Databases, User Interface (UI), Software Installation, Restful API, Development Environment
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Tensorflow, Model Deployment, Keras (Neural Network Library), Data Pipelines, Model Training, Google Cloud Platform, Data Preprocessing, Model Optimization, Data Processing, Artificial Neural Networks, Deep Learning, Machine Learning Methods, Data Transformation
Intermediate · Course · 1 - 3 Months

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

Johns Hopkins University
Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, Applied Machine Learning, R (Software), R Programming, Social Network Analysis, Statistical Methods, Simulations, Network Model, Statistical Analysis, Probability & Statistics, Statistical Programming, Probability Distribution, Sampling (Statistics), Data Visualization, Machine Learning, Statistical Hypothesis Testing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Google Cloud Platform, Cloud Management, Data Sharing, Data Access, Cloud Computing, Cloud Security, Data Integration, Data Management, Data-Driven Decision-Making, Data Visualization
Beginner · Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Model Evaluation, Apache Spark, Google Cloud Platform, Logistic Regression, Predictive Modeling, Big Data, Model Training, Data Preprocessing, Applied Machine Learning
Intermediate · Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Kubernetes, Load Balancing, Cloud-Native Computing, Application Deployment, Google Cloud Platform, Containerization, Performance Stress Testing, DevOps, Performance Testing, Routing Protocols, Cloud Infrastructure
Intermediate · Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, Applied Machine Learning
Beginner · Course · 1 - 4 Weeks

Universitat Politècnica de València
Skills you'll gain: Deductive Reasoning, Concept Of Operations
Beginner · Course · 1 - 4 Weeks