Filter by
The language used throughout the course, in both instruction and assessments.
549 results for "cloud computing concepts"
Skills you'll gain: Data Management, Databases, SQL, Data Analysis, Database Application, Computer Programming, Database Administration, Database Design, R Programming, Database Theory, Data Science
Skills you'll gain: Cloud Computing, Docker (Software), Google Cloud Platform, Machine Learning
Microsoft
Skills you'll gain: Algorithms, Applied Machine Learning, Human Learning, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Microsoft Azure, Cloud Computing, Regression, Training
Skills you'll gain: Machine Learning, Machine Learning Algorithms, SAS (Software), Human Learning
Skills you'll gain: Cloud Computing, Computer Architecture, IBM Cloud, Operating Systems, Cloud Platforms, Computer Networking, Linux
Skills you'll gain: Cloud Computing, Cloud Infrastructure, Cloud Platforms, Google Cloud Platform
Skills you'll gain: Continuous Delivery, Continuous Integration, DevOps
Google Cloud
Skills you'll gain: Cloud Computing, Cloud Platforms, Docker (Software), Google Cloud Platform, Kubernetes
Skills you'll gain: Cloud Computing, Python Programming, Machine Learning, Machine Learning Software, Microsoft Azure, Applied Machine Learning, Cloud Applications, Human Learning, Cloud Platforms, Machine Learning Algorithms
Google Cloud
Skills you'll gain: Google Cloud Platform, Machine Learning, Applied Machine Learning, DevOps, Cloud Computing, Tensorflow, Cloud Platforms, Cloud-Based Integration, Continuous Integration, Training
Duke University
Skills you'll gain: Big Data, DevOps, Machine Learning
Skills you'll gain: Computer Networking, Network Architecture, Network Security, Security Engineering, Cloud Computing, Distributed Computing Architecture, Software-Defined Networking, Cloud Management, Network Model, Networking Hardware
Searches related to cloud computing concepts
In summary, here are 10 of our most popular cloud computing concepts courses
- SQL for Data Science with R:Â IBM
- Machine Learning Operations (MLOps): Getting Started:Â Google Cloud
- Microsoft Azure Machine Learning:Â Microsoft
- Machine Learning Using SAS Viya:Â SAS
- Linux System Administration with IBM Power Systems:Â IBM
- Reliable Google Cloud Infrastructure: Design and Process:Â Google Cloud
- Get Started with Cloud Native, DevOps, Agile, and NoSQL:Â IBM
- Getting Started with Google Kubernetes Engine:Â Google Cloud
- Build and Operate Machine Learning Solutions with Azure:Â Microsoft
- ML Pipelines on Google Cloud:Â Google Cloud