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Results for "ml+deployment+challenges"
Google Cloud
Skills you'll gain: Feature Engineering, Tensorflow, Keras (Neural Network Library), Data Quality, MLOps (Machine Learning Operations), Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Google Cloud Platform, Scikit Learn (Machine Learning Library), Data Cleansing, Data Strategy, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Supervised Learning, Machine Learning Algorithms, Data Analysis, Data Management, Data Governance, Workflow Management
Skills you'll gain: Serverless Computing, Digital Transformation, Cloud Services, Data Ethics, Cloud Infrastructure, Google Cloud Platform, Application Programming Interface (API), Business Transformation, Applied Machine Learning, Hybrid Cloud Computing, Image Analysis, Infrastructure As A Service (IaaS), Cloud Computing, Public Cloud, Containerization, Cloud Computing Architecture, Multi-Cloud, Machine Learning, Software As A Service, Computer Vision
DeepLearning.AI
Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Continuous Deployment, Software Development Life Cycle, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Debugging, Continuous Monitoring, Data Pipelines
Duke University
Skills you'll gain: Databricks, Generative AI, Performance Analysis, Apache Airflow, Workflow Management, Data Lakes, Extract, Transform, Load, OpenAI, AWS SageMaker, Performance Tuning, Scalability, Data Transformation, Data Infrastructure, Microsoft Azure, MLOps (Machine Learning Operations), Amazon Web Services, Natural Language Processing, PyTorch (Machine Learning Library), Risk Management Framework, Artificial Intelligence
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, DevOps, Continuous Deployment, Application Deployment, Application Lifecycle Management, Tensorflow, Machine Learning, Continuous Integration, Automation
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Application Deployment, Deep Learning, Cloud Development, Artificial Neural Networks, Data Processing, Scalability, Applied Machine Learning, Machine Learning, Data Transformation
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: Data Ethics, Google Cloud Platform, Applied Machine Learning, Image Analysis, Machine Learning, Computer Vision, Data Strategy, Business Ethics, Data Governance, Analytical Skills, Feasibility Studies, Business Analysis, Project Management Life Cycle, Business Intelligence
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, MLOps (Machine Learning Operations), Databricks, Cloud Computing, Applied Machine Learning, Data Ethics, Data Pipelines, Machine Learning, Information Privacy, Tensorflow, Performance Tuning
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
In summary, here are 10 of our most popular ml+deployment+challenges courses
- Machine Learning on Google Cloud: Google Cloud
- Digital Transformation Using AI/ML with Google Cloud: Google Cloud
- Machine Learning in Production: DeepLearning.AI
- Large Language Model Operations (LLMOps): Duke University
- Machine Learning Operations (MLOps): Getting Started: Google Cloud
- Build, Train and Deploy ML Models with Keras on Google Cloud: Google Cloud
- Machine Learning in the Enterprise: Google Cloud
- Production Machine Learning Systems: Google Cloud
- Managing Machine Learning Projects with Google Cloud: Google Cloud
- MLOps | Machine Learning Operations: Duke University