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: NewGoogle Cloud
Skills you'll gain: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, AI Workflows, Data Preprocessing, Computing Platforms
Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Google Cloud Platform, Model Evaluation, Data Quality
Skills you'll gain: Retrieval-Augmented Generation, Gemini, Generative AI, Vector Databases, Embeddings
Google Cloud
Skills you'll gain: User Provisioning, Google Workspace, User Accounts, Cloud Management, Identity and Access Management, Capacity Management, System Configuration, Security Management
Google Cloud
Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, Gemini, Generative AI, Prompt Engineering, LLM Application, Responsible AI, Google Cloud Platform
Google Cloud
Skills you'll gain: DevOps, Gemini, IT Infrastructure, Kubernetes, Google Cloud Platform, AI Enablement, Continuous Integration, Artificial Intelligence, Build Tools
Skills you'll gain: Threat Detection, Vulnerability Management, Threat Management, Cloud Security, Vulnerability Assessments, Security Management, Multi-Cloud, Risk Management Framework, Incident Management
Skills you'll gain: Google Gemini, Responsible AI, Google Workspace, Generative AI, Artificial Intelligence, Enterprise Application Management
Skills you'll gain: Threat Management, Vulnerability Management, Vulnerability Assessments, Cloud Security, Multi-Cloud, Threat Detection, Risk Management Framework, Application Security, Google Cloud Platform, Change Requests
- Status: New
Google Cloud
Skills you'll gain: Jupyter, MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Data Preprocessing, Development Environment
Skills you'll gain: Private Cloud, Cloud Infrastructure, Virtual Machines, VMware vSAN, vSphere Networking and Storage, Virtual Networking, Google Cloud Platform, vCenter Server, Cloud Computing Architecture, Hybrid Cloud Computing, Public Cloud, Virtual Private Networks (VPN), Cloud Management, Cloud Services, Cloud Storage
Google Cloud
Skills you'll gain: Google Gemini, Gemini, Google Workspace, Prompt Engineering, Gmail, Generative AI, File Management
Searches related to scientific computing
In summary, here are 10 of our most popular scientific computing courses
- Utiliser des notebooks dans Vertex AI: Google Cloud
- Responsible AI for Developers: Fairness & Bias - Português: Google Cloud
- Criar embeddings, pesquisa vetorial e RAG com o BigQuery: Google Cloud
- Google Workspace ユーザーおよびリソース管理: Google Cloud
- 使用 BigQuery 创建嵌入、向量搜索和 RAG: Google Cloud
- Gemini for DevOps Engineers - 한국어: Google Cloud
- Comienza a usar Security Command Center Enterprise: Google Cloud
- Introduction to Gemini for Google Workspace - Indonesian: Google Cloud
- Premiers pas avec Security Command Center Enterprise: Google Cloud
- Vertex AI でノートブックを使用する: Google Cloud
