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Results for "hybrid cloud computing machine learning"
Status: Free TrialGoogle Cloud
Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Tensorflow, Large Language Modeling, Reinforcement Learning, Computer Vision, Google Cloud Platform, Keras (Neural Network Library), Systems Design, Image Analysis, Hybrid Cloud Computing, Applied Machine Learning, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Kubernetes
Status: Free TrialMultiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Methods, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Scikit Learn (Machine Learning Library), Artificial Intelligence, NumPy, Predictive Modeling, Deep Learning, Reinforcement Learning, Random Forest Algorithm, Feature Engineering
Status: Free TrialSkills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), Apache Airflow, Cloud Infrastructure, CI/CD, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Dataflow, Systems Design, Cloud Platforms, Data Management, Data Governance, Hybrid Cloud Computing, Machine Learning, Cloud Computing
Status: Free TrialDuke University
Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Data Ethics, Application Deployment, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis
Status: Free TrialSkills you'll gain: Prompt Engineering, Google Cloud Platform, Generative AI, Cloud Infrastructure, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Cloud Platforms, Large Language Modeling, Machine Learning, Natural Language Processing, Application Programming Interface (API)
Status: Free TrialGoogle Cloud
Skills you'll gain: Feature Engineering, Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), MLOps (Machine Learning Operations), Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Dataflow, Cloud Platforms, Data Management, Data Governance, Workflow Management, Application Deployment, Deep Learning, Applied Machine Learning, Machine Learning, Cloud Computing
What brings you to Coursera today?
Status: Free TrialMicrosoft
Skills you'll gain: Unsupervised Learning, Microsoft Azure, Applied Machine Learning, Regression Analysis, Predictive Modeling, Machine Learning Methods, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Artificial Intelligence, Automation, Supervised Learning
Status: NewSkills you'll gain: Exploratory Data Analysis, Data Analysis, Amazon Elastic Compute Cloud, AWS Kinesis, Predictive Modeling, Data Pipelines, Extract, Transform, Load
Status: NewSkills you'll gain: Docker (Software), CI/CD, Application Performance Management, Google App Engine
Status: Free TrialSkills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Real Time Data, Data Lakes, MLOps (Machine Learning Operations), Dashboard, Data Warehousing, Extract, Transform, Load, Cloud Engineering, Data Infrastructure, Cloud Infrastructure, Apache Airflow, Cloud Storage, Big Data, Tensorflow, Unstructured Data, Data Integration, Data Migration, Data Processing
Status: NewSkills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, CI/CD, DevOps, Data Processing, Data Management, Machine Learning, Predictive Modeling, Automation, Data Pipelines, Applied Machine Learning, Continuous Monitoring
Status: NewStatus: PreviewO.P. Jindal Global University
Skills you'll gain: Tensorflow, Supervised Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Python Programming, NumPy, Artificial Neural Networks, Deep Learning, Image Analysis, Matplotlib, Unstructured Data, Predictive Modeling, Machine Learning, Natural Language Processing, Pandas (Python Package), Computer Vision, Feature Engineering, Text Mining, Regression Analysis, Performance Tuning
In summary, here are 10 of our most popular hybrid cloud computing machine learning courses
- Advanced Machine Learning on Google Cloud: Google Cloud
- Machine Learning: DeepLearning.AI
- Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
- MLOps | Machine Learning Operations: Duke University
- Introduction to AI and Machine Learning on Google Cloud: Google Cloud
- Machine Learning on Google Cloud: Google Cloud
- Microsoft Azure Machine Learning: Microsoft
- AWS Certified Machine Learning - Specialty: Pearson
- Data Science Model Deployments and Cloud Computing on GCP: Packt
- Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
