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Results for "ml+deployment+challenges"
DeepLearning.AI
Skills you'll gain: Extract, Transform, Load, Data Pipelines, Image Analysis, Data Import/Export, Tensorflow, iOS Development, Application Deployment, Android Development, Data Processing, Computer Vision, MLOps (Machine Learning Operations), Swift Programming, Mobile Development, Data Transformation, JSON, Applied Machine Learning, Data Sharing, Javascript, Deep Learning, Artificial Neural Networks
Microsoft
Skills you'll gain: Unsupervised Learning, Generative AI, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Data Infrastructure, Applied Machine Learning, Reinforcement Learning, Data Ethics, Artificial Intelligence, Test Case, OpenAI, Human Computer Interaction, Performance Testing, Application Deployment
Skills you'll gain: Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Data Infrastructure, MLOps (Machine Learning Operations), Application Deployment, Data Cleansing, Artificial Intelligence, Continuous Deployment, Data Security, Application Frameworks, PyTorch (Machine Learning Library), Machine Learning, Tensorflow, Applied Machine Learning, Data Pipelines, Scikit Learn (Machine Learning Library), Scalability, Feature Engineering, Version Control
Coursera Project Network
Skills you'll gain: Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Microsoft Azure, Machine Learning, Predictive Analytics, Feature Engineering, Data Processing, Data Cleansing, Application Deployment, Exploratory Data Analysis
Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Containerization, Rust (Programming Language), DevOps, Cloud Development, Google Cloud Platform, Applied Machine Learning, CI/CD, Cloud Computing, Generative AI, Python Programming, Serverless Computing, Application Frameworks, GitHub
Skills you'll gain: Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, Application Deployment, IBM Cloud, Machine Learning Algorithms, Feature Engineering, Machine Learning, Unsupervised Learning, Containerization, Supervised Learning, Scalability
DeepLearning.AI
Skills you'll gain: iOS Development, Android Development, Tensorflow, Swift Programming, Mobile Development, Application Deployment, Applied Machine Learning, Deep Learning, Embedded Systems, Computer Vision, Machine Learning
DeepLearning.AI
Skills you'll gain: Tensorflow, Application Deployment, MLOps (Machine Learning Operations), Deep Learning, Applied Machine Learning, Data Ethics, Information Privacy, Web Servers, Server Side, Application Programming Interface (API)
Skills you'll gain: Predictive Modeling, Data Ethics, Predictive Analytics, Machine Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Data-Driven Decision-Making, Statistical Modeling, Performance Measurement, Supervised Learning, Machine Learning Software, Business Ethics, Decision Tree Learning, Leadership and Management, Artificial Intelligence, Business Analytics, Machine Learning Algorithms, Data Processing, Business Leadership, Feature Engineering
Skills you'll gain: Data Ethics, MLOps (Machine Learning Operations), Applied Machine Learning, Performance Measurement, Predictive Modeling, Leadership and Management, Predictive Analytics, Data Processing, Business Leadership, Key Performance Indicators (KPIs), Business Transformation, Data-Driven Decision-Making, Ethical Standards And Conduct, Business Priorities
Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Containerization, CI/CD, Docker (Software), Microsoft Azure, Cloud Computing, Applied Machine Learning, GitHub, Application Programming Interface (API)
Skills you'll gain: Data Ethics, Business Ethics, Compliance Management, Applied Machine Learning, Project Implementation, Business Solutions, Solution Design, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, Information Privacy
In summary, here are 10 of our most popular ml+deployment+challenges courses
- TensorFlow: Data and Deployment: DeepLearning.AI
- Microsoft AI & ML Engineering: Microsoft
- Foundations of AI and Machine Learning: Microsoft
- Machine Learning Pipelines with Azure ML Studio: Coursera Project Network
- DevOps, DataOps, MLOps: Duke University
- AI Workflow: Enterprise Model Deployment: IBM
- Device-based Models with TensorFlow Lite: DeepLearning.AI
- Advanced Deployment Scenarios with TensorFlow: DeepLearning.AI
- Machine Learning Rock Star – the End-to-End Practice: SAS
- Launching Machine Learning: Delivering Operational Success with Gold Standard ML Leadership: SAS