Filter by
The language used throughout the course, in both instruction and assessments.
Results for "ml+pipelines"
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
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)
DeepLearning.AI
Skills you'll gain: Extract, Transform, Load, Data Pipelines, Data Import/Export, Tensorflow, Data Processing, MLOps (Machine Learning Operations), Data Transformation, Data Sharing, Data Management, Data Validation, Performance Tuning
Duke University
Skills you'll gain: Pandas (Python Package), MLOps (Machine Learning Operations), NumPy, Unit Testing, Data Manipulation, Software Testing, Data Import/Export, Python Programming, Debugging, Data Structures, Object Oriented Programming (OOP), Scripting, Program Development, Numerical Analysis, Application Programming Interface (API), Command-Line Interface, Computer Programming
Duke University
Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Data Analysis, Cloud Development, Applied Machine Learning, Predictive Modeling, Application Deployment, Serverless Computing, Amazon S3, Machine Learning, Machine Learning Algorithms
Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Data Quality, Technical Management, Applied Machine Learning, Data Processing, Software Development Life Cycle, Machine Learning, Data Cleansing, Technology Solutions, Data Collection, Data Science, Systems Architecture, System Design and Implementation, Continuous Monitoring, Software Versioning
Duke University
Skills you'll gain: Microsoft Azure, OpenAI, Risk Management Framework, MLOps (Machine Learning Operations), Cloud Computing, Artificial Intelligence and Machine Learning (AI/ML), Software Architecture, Platform As A Service (PaaS), Semantic Web, Generative AI, Application Deployment, Cloud Services, Information Architecture, Artificial Intelligence, Systems Architecture, Query Languages, Natural Language Processing, Containerization, Application Programming Interface (API), Python Programming
University of Pennsylvania
Skills you'll gain: Statistical Machine Learning, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Statistical Modeling, Supervised Learning, Statistics, Machine Learning, Data Processing, Artificial Intelligence, Artificial Neural Networks, Algorithms, Theoretical Computer Science, Machine Learning Algorithms, Computational Thinking
Duke University
Skills you'll gain: PySpark, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Data Architecture, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, Data Management, DevOps, Data Manipulation, Distributed Computing, SQL
- Status: Free
Coursera Instructor Network
Skills you'll gain: Application Deployment, Application Development, Data Ethics, Artificial Intelligence, Generative AI, Development Environment, Applied Machine Learning, Deep Learning, Application Security
Skills you'll gain: Unsupervised Learning, Generative AI, Supervised Learning, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, OpenAI, Predictive Modeling, Machine Learning Algorithms, Image Analysis, Artificial Intelligence, Artificial Neural Networks, Machine Learning, Feature Engineering, Unstructured Data, Business Logic, ChatGPT, Dimensionality Reduction, Data Modeling
Politecnico di Milano
Skills you'll gain: Artificial Intelligence, Infrastructure Architecture, Cloud Platforms, Deep Learning, Hardware Architecture, Computing Platforms, Information Technology, Internet Of Things, Cloud Computing, Embedded Systems, Emerging Technologies, Machine Learning, Data Centers, Application Development
Searches related to ml+pipelines
In summary, here are 10 of our most popular ml+pipelines courses
- DevOps, DataOps, MLOps:Â Duke University
- MLOps Tools: MLflow and Hugging Face:Â Duke University
- Data Pipelines with TensorFlow Data Services:Â DeepLearning.AI
- Python Essentials for MLOps:Â Duke University
- MLOps Platforms: Amazon SageMaker and Azure ML:Â Duke University
- Managing Machine Learning Projects:Â Duke University
- Operationalizing LLMs on Azure:Â Duke University
- AI and Machine Learning Essentials with Python:Â University of Pennsylvania
- Spark, Hadoop, and Snowflake for Data Engineering:Â Duke University
- Building Production-Ready Apps with Large Language Models:Â Coursera Instructor Network