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.
40credentials
2online degrees
170courses

Results for "mlops (machine learning operations)"

  • Skills you'll gain: Generative AI, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Continuous Deployment, System Monitoring, Real Time Data, Feature Engineering, Continuous Monitoring, Applied Machine Learning, Performance Tuning, Advanced Analytics, Artificial Intelligence, Machine Learning, Data Cleansing

  • Status: Preview

    Skills you'll gain: Databricks, Scalability, Workflow Management, Organizational Leadership, Data Architecture, MLOps (Machine Learning Operations), Strategic Thinking, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Business Strategy, Strategic Planning, Infrastructure Architecture, Applied Machine Learning, Automation

  • Skills you'll gain: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Virtual Machines, Machine Learning

  • Status: Preview

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Data Ethics, Amazon Web Services, Cloud Security, Artificial Intelligence, Large Language Modeling, Software Development Life Cycle, Prompt Engineering, Machine Learning, Human Centered Design, Data Governance

  • Status: Free Trial

    Skills you'll gain: Large Language Modeling, LLM Application, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Data Management, Prompt Engineering, Training Programs, Data Validation, Data Cleansing, Program Evaluation, Natural Language Processing, Applied Machine Learning, MLOps (Machine Learning Operations), Data Transformation, Verification And Validation, Data Quality, Performance Tuning, Data Processing

  • Status: Free Trial

    Skills you'll gain: Responsible AI, Generative AI, Large Language Modeling, Artificial Intelligence, PyTorch (Machine Learning Library), MLOps (Machine Learning Operations), Tensorflow, Information Privacy, Machine Learning, A/B Testing, Deep Learning, Version Control, Performance Tuning, Scalability

  • Status: Free Trial

    Skills you'll gain: Applied Machine Learning, Machine Learning, Data Storytelling, Stakeholder Engagement, Data Presentation, Stakeholder Communications, MLOps (Machine Learning Operations), Web Applications, Project Closure, Solution Delivery, Data Visualization, Data Science, Data Pipelines, Communication, Automation

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Tensorflow, MLOps (Machine Learning Operations), Dataflow, Data Transformation, Data Processing, Applied Machine Learning, Data Modeling, Keras (Neural Network Library), Data Cleansing, Machine Learning

  • Status: Free Trial

    Skills you'll gain: Dataflow, Data Pipelines, Google Cloud Platform, Extract, Transform, Load, Data Lakes, MLOps (Machine Learning Operations), Looker (Software), Data Warehousing, Real Time Data, Data Processing, Data Management, Data Infrastructure, Cloud Engineering, Cloud Storage, Big Data, Unstructured Data, Systems Design, Apache Airflow, Cloud Infrastructure, Dashboard

  • Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Predictive Modeling, Google Analytics, Data Processing, Cloud Computing, Analytics, Cloud Storage, Predictive Analytics, Machine Learning, Advanced Analytics, Data Management

  • Status: New
    Status: Free Trial

    Skills you'll gain: Prompt Engineering, PyTorch (Machine Learning Library), Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Computer Vision, Image Analysis, Generative AI, Generative Model Architectures, Application Deployment, Artificial Neural Networks, Text Mining, Deep Learning, Cloud Hosting, Semantic Web, Restful API

  • Status: Free Trial

    Skills you'll gain: Dataflow, Real Time Data, Data Pipelines, Google Cloud Platform, Data Lakes, Data Import/Export, Tensorflow, Dashboard, Cloud Infrastructure, Apache Spark, Big Data, Data Warehousing, Extract, Transform, Load, Data Processing, MLOps (Machine Learning Operations), Applied Machine Learning, PySpark, Cloud Storage, Data Infrastructure, Cloud Solutions