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.
38credentials
2online degrees
169courses

Filter by

Subject
Required

Language
Required

The language used throughout the course, in both instruction and assessments.

Learning Product
Required

Build job-relevant skills in under 2 hours with hands-on tutorials.
Learn from top instructors with graded assignments, videos, and discussion forums.
Learn a new tool or skill in an interactive, hands-on environment.
Get in-depth knowledge of a subject by completing a series of courses and projects.
Earn career credentials from industry leaders that demonstrate your expertise.
Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.

Level
Required

Duration
Required

Subtitles
Required

Educator
Required

Results for "mlops (machine learning operations)"

  • Status: New

    Skills you'll gain: Google Gemini, Generative AI, Google Cloud Platform, Responsible AI, AI Product Strategy, Cloud Computing Architecture, Cloud Infrastructure, Artificial Intelligence, LLM Application, MLOps (Machine Learning Operations), Data Centers, Innovation

  • Status: Free Trial

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

  • Status: Free Trial

    Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Serverless Computing, Real Time Data, Cloud Infrastructure, Identity and Access Management, MLOps (Machine Learning Operations), Big Data, AI Personalization, Data Visualization Software, Data Integration, Cloud Security, Data Integrity, Performance Tuning, Looker (Software), Data Security, Cloud Computing, Tensorflow, Data Processing

  • Status: Preview

    Skills you'll gain: CI/CD, MLOps (Machine Learning Operations), Apache Airflow, Google Cloud Platform, Data Pipelines, Tensorflow, Kubernetes, Metadata Management, PyTorch (Machine Learning Library), Containerization, Machine Learning

  • 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: Free Trial

    Skills you'll gain: Large Language Modeling, LLM Application, Prompt Engineering, Microsoft Azure, OpenAI, MLOps (Machine Learning Operations), Responsible AI, Cloud Computing, Application Deployment, Application Programming Interface (API), Python Programming, Scalability

  • 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

  • Skills you'll gain: Google Cloud Platform, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Classification And Regression Tree (CART), Cloud Computing

  • Status: Free Trial

    Skills you'll gain: Data Pipelines, Google Cloud Platform, Dataflow, MLOps (Machine Learning Operations), Looker (Software), Cloud Storage, Data Warehousing, Data Lakes, Cloud Engineering, Data Processing, Big Data, Unstructured Data, Cloud Infrastructure, Data Infrastructure, Database Development, Dashboard, Real Time Data, Extract, Transform, Load, Tensorflow, Data Analysis

  • Status: Free Trial

    Skills you'll gain: Web Scraping, Natural Language Processing, Data Integration, Data Processing, MLOps (Machine Learning Operations), Data Cleansing, Artificial Neural Networks, Tensorflow, Text Mining, Jupyter, Application Lifecycle Management, Pandas (Python Package), Systems Architecture, Analysis, Deep Learning, Application Development, Scripting, Algorithms, Data Transformation, Python Programming

  • Status: New
    Status: Free Trial

    Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Cloud Computing, Data Pipelines, Application Lifecycle Management, Application Deployment, Data Management, Virtual Machines, Applied Machine Learning, Data Processing, Real Time Data, Development Environment

  • 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