MLOps (Machine Learning Operations)

MLOps (Machine Learning Operations) is an engineering discipline that aims to unify machine learning system development and machine learning system operations. Coursera's MLOps catalogue teaches you how to streamline and regulate the process of deploying, testing, and improving machine learning models in production. You'll learn about essential elements of MLOps such as data and model versioning, model testing, monitoring, and validation, as well as robust strategies for deploying and maintaining ML models. By the end of your learning journey, you will be able to effectively manage the ML lifecycle, understand the role of automation in MLOps, and leverage best practices to bring data science and IT operations together.
41credentials
2online degrees
173courses

Results for "mlops (machine learning operations)"

  • Status: New
    Status: Free Trial

    Skills you'll gain: PyTorch (Machine Learning Library), Generative AI, Deep Learning, MLOps (Machine Learning Operations), Application Deployment, Software Visualization, Artificial Neural Networks, Computer Vision, Dimensionality Reduction

  • Status: Free Trial

    Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Processing, Deep Learning, Data Transformation, Machine Learning, Exploratory Data Analysis

  • Status: New
    Status: Free Trial

    Skills you'll gain: Prompt Engineering, Generative AI Agents, Prompt Patterns, Generative AI, Agentic systems, AI Personalization, Kubernetes, Enterprise Application Management, ChatGPT, Containerization, Docker (Software), OpenAI, LangChain, Cloud Infrastructure, Scalability, System Monitoring, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Python Programming, Engineering

  • Status: Free Trial

    Skills you'll gain: Tensorflow, Application Deployment, MLOps (Machine Learning Operations), Deep Learning, Applied Machine Learning, Machine Learning, Distributed Computing, Information Privacy, Web Servers, Application Programming Interface (API), Data Processing, Data Security, Data Visualization

  • Status: New

    Skills you'll gain: AI Product Strategy, Product Management, Commercialization, Technical Product Management, Product Lifecycle Management, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Product Strategy, User Interface and User Experience (UI/UX) Design, Product Design, Responsible AI, Data Infrastructure, Generative AI, Digital Transformation, Team Performance Management, Machine Learning, Data-Driven Decision-Making, Deep Learning

  • Status: New

    Skills you'll gain: Large Language Modeling, MLOps (Machine Learning Operations), Prompt Engineering, AWS SageMaker, Extract, Transform, Load, Data Pipelines, CI/CD, Supervised Learning, Application Deployment, Scalability, Performance Tuning

  • Status: Free Trial

    Skills you'll gain: Data Ethics, Applied Machine Learning, Unsupervised Learning, Random Forest Algorithm, Data Analysis, Regression Analysis, Responsible AI, Decision Tree Learning, Machine Learning Algorithms, Data Collection, Deep Learning, Workflow Management, MLOps (Machine Learning Operations), Statistical Analysis, Business Ethics, Compliance Management, Learning Strategies, Test Planning, Goal Setting, Productivity

  • Status: Free Trial

    Skills you'll gain: Technical Communication, Cloud Infrastructure, MLOps (Machine Learning Operations), Cloud-Native Computing, CI/CD, Cloud Platforms, Cloud Computing, Application Deployment, Agile Software Development, DevOps, Software Engineering, Infrastructure As A Service (IaaS), Distributed Computing, Microservices, Continuous Delivery, Applied Machine Learning, Extract, Transform, Load, Cloud API, Google Cloud Platform, Machine Learning

  • Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Applied Machine Learning, Data Pipelines, CI/CD, Machine Learning

  • Status: Free Trial

    Skills you'll gain: Dataflow, Data Pipelines, Real Time Data, Feature Engineering, PySpark, Cloud Storage, Data Import/Export, Apache Spark, Data Maintenance, Google Cloud Platform, Apache Hadoop, Dashboard, Data Lakes, Tensorflow, Big Data, Cloud Services, Data Storage, MLOps (Machine Learning Operations), Data Analysis, Data Warehousing

  • Status: Free Trial

    Google Cloud

    Skills you'll gain: Feature Engineering, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Keras (Neural Network Library), Data Processing, Data Transformation, Data Modeling, Real Time Data, Machine Learning, Data Storage

  • Status: Free Trial

    Skills you'll gain: Application Deployment, MLOps (Machine Learning Operations), Unit Testing, Docker (Software), Containerization, Kubernetes, IBM Cloud, Continuous Deployment, Microservices, User Feedback, Machine Learning, Performance Analysis, Responsible AI, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Continuous Monitoring, Data Science, Python Programming