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  • Mlops

MLOps Courses

MLOps courses can help you learn deployment strategies, model monitoring, and continuous integration and delivery for machine learning projects. You can build skills in automating workflows, managing data pipelines, and ensuring compliance with governance standards. Many courses introduce tools like TensorFlow, Kubernetes, and MLflow, that support operationalizing AI models and streamlining collaboration between data scientists and IT teams.


Popular MLOps Courses and Certifications


  • D

    Duke University

    Rust for Large Language Model Operations (LLMOps)

    Skills you'll gain: LLM Application, Hugging Face, Large Language Modeling, Generative AI, Rust (Programming Language), Model Deployment, MLOps (Machine Learning Operations), AWS SageMaker, Cloud Deployment, PyTorch (Machine Learning Library), CI/CD, Applied Machine Learning, Natural Language Processing, Infrastructure as Code (IaC), DevOps, Machine Learning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 4 Weeks

  • B

    Board Infinity

    Real-World Applications & Model Deployment in Java

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Model Deployment, Jenkins, AI Security, Applied Machine Learning, Java, Continuous Deployment, Federated Learning, Artificial Intelligence, Machine Learning, Spring Framework, Application Deployment, Reinforcement Learning, Spring Boot, Enterprise Application Management

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Building, Evaluating, and Operationalizing ML Models

    Skills you'll gain: Model Evaluation, Model Deployment, Data Preprocessing, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Essential Guide to LLMOps

    Skills you'll gain: LLM Application, MLOps (Machine Learning Operations), Large Language Modeling, Data Processing, Model Deployment, AI Workflows, Prompt Engineering, Responsible AI, Generative AI, Scalability, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Data Transformation, Continuous Monitoring, Feature Engineering, Natural Language Processing, Artificial Intelligence, Data Collection

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Track and Evaluate ML Model Experiments

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Version Control, Large Language Modeling, Git (Version Control System), Data Management, Performance Testing, Dashboard, Machine Learning, Scripting, Performance Analysis, Technical Documentation

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Real-world End to End Machine Learning Ops on Google Cloud

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Generative AI, Model Deployment, Cloud Management, Kubernetes, Large Language Modeling, CI/CD, Cloud Deployment, Machine Learning Methods, Continuous Deployment, Tensorflow, Model Evaluation, Apache Airflow, AI Workflows, Continuous Integration, Feature Engineering, Containerization, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Orchestrate, Analyze, and Evaluate AI Deployments

    Skills you'll gain: CI/CD, Continuous Deployment, Continuous Delivery, DevOps, Performance Analysis, Performance Metric, Performance Measurement, Artificial Intelligence, Application Performance Management, Operational Analysis, Root Cause Analysis

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Level Up: Java-Powered Machine Learning

    Skills you'll gain: Model Evaluation, Data Preprocessing, JUnit, Build Tools, Java Programming, MLOps (Machine Learning Operations), Java, Performance Tuning, Decision Tree Learning, Classification And Regression Tree (CART), Apache Maven, Data Structures, Random Forest Algorithm, Gradle, Data Pipelines, Software Architecture, Software Design, Object Oriented Programming (OOP), Apache, Machine Learning

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Detect AI Anomalies: Real-Time Outliers

    Skills you'll gain: Anomaly Detection, MLOps (Machine Learning Operations), Event Monitoring, Continuous Monitoring, System Monitoring, Unsupervised Learning, Threat Detection, Statistical Analysis, Exploratory Data Analysis, Trend Analysis, Real Time Data, Statistical Methods, Performance Tuning, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

  • T

    Technical University of Munich (TUM)

    From Zero to Hero - Digital Product Development From Scratch

    Skills you'll gain: Prompt Engineering, Amazon Bedrock, MLOps (Machine Learning Operations), Innovation, Design Thinking, Generative AI, Ideation, Amazon Web Services, Lean Methodologies, Model Evaluation, Product Development, User Experience Design, New Product Development, Agile Product Development, Machine Learning, User Research

    4.6
    Rating, 4.6 out of 5 stars
    ·
    53 reviews

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Vertex Pipelines: Qwik Start

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Applied Machine Learning, Data Pipelines, Tensorflow, Machine Learning

    Intermediate · Project · Less Than 2 Hours

  • C

    Coursera

    Test & Debug Java ML Pipelines

    Skills you'll gain: JUnit, MLOps (Machine Learning Operations), CI/CD, Continuous Integration, Jenkins, Test Automation, Unit Testing, DevOps, Test Case, Debugging, Code Coverage, Model Evaluation, Data Pipelines, Test Data

    Advanced · Course · 1 - 4 Weeks

Searches related to mlops

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In summary, here are 10 of our most popular mlops courses

  • Rust for Large Language Model Operations (LLMOps): Duke University
  • Real-World Applications & Model Deployment in Java : Board Infinity
  • Building, Evaluating, and Operationalizing ML Models: Packt
  • Essential Guide to LLMOps: Packt
  • Track and Evaluate ML Model Experiments: Coursera
  • Real-world End to End Machine Learning Ops on Google Cloud: Packt
  • Orchestrate, Analyze, and Evaluate AI Deployments: Coursera
  • Level Up: Java-Powered Machine Learning: Coursera
  • Detect AI Anomalies: Real-Time Outliers: Coursera
  • From Zero to Hero - Digital Product Development From Scratch: Technical University of Munich (TUM)

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