Scientific Computing Courses
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.
Popular Scientific Computing Courses and Certifications
Status: NewStatus: Free TrialSkills you'll gain: Model Deployment, Large Language Modeling, Cloud Deployment, Data Ethics, CI/CD, Transfer Learning, Model Evaluation, Performance Tuning
Skills you'll gain: Microsoft SQL Servers, Data Storage Technologies, Database Architecture and Administration, Disaster Recovery, Database Management, Cloud Storage, Google Cloud Platform, Software Installation
Skills you'll gain: Application Deployment, Microservices, Cloud Infrastructure, Google App Engine, Network Architecture, Cloud Security, Site Reliability Engineering, Kubernetes, Restful API, Cloud Computing Architecture, Google Cloud Platform, CI/CD, Systems Design, Service Level, API Design, Cloud Storage, Virtual Networking, Service Level Agreement, Scalability, Key Performance Indicators (KPIs)
Status: NewStatus: Free TrialSkills you'll gain: 3D Modeling, 3D Assets, Autodesk, Visualization (Computer Graphics), Computer Graphics, Computer Graphic Techniques, Image Quality
Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, AI Workflows, Workflow Management, Enterprise Modeling, Data Management, Data Preprocessing, Data Pipelines, Applied Machine Learning, Model Evaluation, Machine Learning
Status: FreeAmazon Web Services
Skills you'll gain: Document Management, Amazon Web Services, Information Management, Technical Documentation, Natural Language Processing, Infrastructure Architecture, Artificial Intelligence, Software Architecture
Status: PreviewGoogle Cloud
Skills you'll gain: Prompt Engineering, Google Gemini, Multimodal Prompts, Generative AI, Application Lifecycle Management, Prototyping, LLM Application, Google Cloud Platform, Model Deployment, Model Evaluation
Google Cloud
Skills you'll gain: Data Visualization, Google Cloud Platform, Big Data, SQL, Analytics, Analysis, Data Warehousing
Status: PreviewGoogle Cloud
Skills you'll gain: Image Analysis, Deep Learning, Convolutional Neural Networks, Model Evaluation, Artificial Neural Networks
Google Cloud
Skills you'll gain: API Gateway, Cloud API, Application Programming Interface (API), Google Cloud Platform, Proxy Servers, Network Support
Google Cloud
Skills you'll gain: Real Time Data, Dataflow, Scalability, Data Pipelines, Model Evaluation, Model Deployment, Applied Machine Learning, Machine Learning
Status: FreeAmazon Web Services
Skills you'll gain: Live Streaming, Amazon Web Services, Digital Communications, Telecommunications, Real Time Data
Searches related to scientific computing
In summary, here are 10 of our most popular scientific computing courses
- Advanced Deployment, MLOps, and Generative AI in Azure: Packt
- Protect and Recover Microsoft SQL Server with Actifio: Google Cloud
- Reliable Cloud Infrastructure: Design and Process - 繁體中文: Google Cloud
- 3DS Max UV Unwrapping: Analyze, Create & Render: EDUCBA
- Machine Learning in the Enterprise - Español: Google Cloud
- Amazon Kendra Getting Started: Amazon Web Services
- Introduction to Generative AI Studio - 简体中文: Google Cloud
- Analyze BigQuery Usage with Log Analytics: Google Cloud
- Create Image Captioning Models - Italiano: Google Cloud
- Using NAT for Apigee X Backend Services: Google Cloud
