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Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Unstructured Data, Data Pipelines, Artificial Intelligence and Machine Learning (AI/ML), Cloud API, Big Data, Machine Learning, Jupyter, Natural Language Processing
Google Cloud
Skills you'll gain: Apache Airflow, MLOps (Machine Learning Operations), Tensorflow, Google Cloud Platform, Data Pipelines, Kubernetes, Continuous Deployment, PyTorch (Machine Learning Library), Continuous Integration, Metadata Management, Machine Learning, Containerization, Automation
Google Cloud
Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Tensorflow, 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, Distributed Computing, Unsupervised Learning
Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Management, Data Governance, Workflow Management, Applied Machine Learning, Data Pipelines, Machine Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering
Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Systems Design, Tensorflow, Hybrid Cloud Computing, Google Cloud Platform, Systems Architecture, Performance Tuning, Machine Learning, Distributed Computing, Statistical Inference
Skills you'll gain: Anomaly Detection, Computer Vision, Artificial Intelligence, Microsoft Azure, Image Analysis, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Generative AI, Text Mining
Skills you'll gain: Feature Engineering, Tensorflow, Exploratory Data Analysis, Data Quality, Applied Machine Learning, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, MLOps (Machine Learning Operations), Data Cleansing, Data Strategy, Scikit Learn (Machine Learning Library), Business Metrics, Dataflow, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Performance Tuning, Artificial Neural Networks, Data Pipelines, Deep Learning
Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Unit Testing, Data Ethics, Application Deployment, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, Software Testing, Data Import/Export, Amazon Web Services, Feature Engineering, Artificial Intelligence and Machine Learning (AI/ML), Docker (Software), Rust (Programming Language)
Skills you'll gain: Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Data Ethics, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Application Deployment, Data Pipelines
- Status: Free
Amazon Web Services
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, Artificial Intelligence, Amazon Web Services, Applied Machine Learning, Machine Learning, Digital Transformation
Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Statistical Machine Learning, Data Storage, Machine Learning Algorithms, Machine Learning, Distributed Computing, Data Processing, Data Transformation, Statistical Analysis
Skills you'll gain: Feature Engineering, Tensorflow, Google Cloud Platform, Data Quality, Data Cleansing, Machine Learning, Keras (Neural Network Library), Applied Machine Learning, Exploratory Data Analysis, Machine Learning Algorithms, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, PyTorch (Machine Learning Library), Jupyter, MLOps (Machine Learning Operations), Dataflow, Artificial Neural Networks, Performance Tuning, Predictive Modeling
In summary, here are 10 of our most popular manage+azure+resources+for+machine+learning courses
- Smart Analytics, Machine Learning, and AI on Google Cloud: Google Cloud
- ML Pipelines on Google Cloud: Google Cloud
- Advanced Machine Learning on Google Cloud: Google Cloud
- Machine Learning in the Enterprise: Google Cloud
- Production Machine Learning Systems: Google Cloud
- Artificial Intelligence on Microsoft Azure: Microsoft
- Machine Learning with TensorFlow on Google Cloud en Español: Google Cloud
- MLOps | Machine Learning Operations: Duke University
- Microsoft Azure Machine Learning for Data Scientists: Microsoft
- Fundamentals of Machine Learning and Artificial Intelligence: Amazon Web Services