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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


  • C

    Coursera

    Deploying and Maintaining Production AI Systems

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Dashboard Creation, Generative AI, Dependency Analysis, Dashboard, Application Deployment, Continuous Deployment, Model Training, Responsible AI, Site Reliability Engineering, Release Management, Kubernetes, Application Performance Management, CI/CD, Performance Analysis, Continuous Monitoring, Automation, Cloud Platforms, Data-Driven Decision-Making

    Intermediate · Course · 3 - 6 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    Duke University

    MLOps Platforms: Amazon SageMaker and Azure ML

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Exploratory Data Analysis, Data Pipelines, Model Training, Amazon Web Services, Feature Engineering, Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Applied Machine Learning, Machine Learning Methods, Serverless Computing, Machine Learning, Python Programming

    ★ 3.5 (56) · Advanced · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • W

    Whizlabs

    AWS: Machine Learning & MLOps Foundations

    Skills you'll gain: MLOps (Machine Learning Operations), Data Preprocessing, AWS SageMaker, Model Evaluation, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Model Training, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Data Processing, Machine Learning, Supervised Learning, Machine Learning Algorithms, Unsupervised Learning, Classification Algorithms

    ★ 4.3 (6) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • M

    Microsoft

    Microsoft Generative AI Engineering

    Skills you'll gain: Generative AI, Responsible AI, Generative Model Architectures, Multimodal Prompts, Prompt Engineering, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Azure DevOps Pipelines, AI Security, Fine-tuning, Data Ethics, AI Orchestration, AI Workflows, Model Deployment, Azure DevOps, Microsoft Azure, ChatGPT, AI Integrations, Artificial Intelligence and Machine Learning (AI/ML), Python Programming

    ★ 4.4 (15) · Intermediate · Professional Certificate · 3 - 6 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Automate, Evaluate and Deploy ML Models Confidently

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Scalability, Model Optimization, CI/CD, Continuous Deployment, Machine Learning Software, Continuous Delivery, Model Training, DevOps, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Continuous Integration, Performance Measurement, Business Metrics, Automation, Business Priorities, Performance Analysis, YAML

    Advanced · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    Duke University

    Managing Machine Learning Projects

    Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Model Training, Data Quality, Model Deployment, Data Preprocessing, Application Lifecycle Management, Technical Management, Applied Machine Learning, Project Management, Machine Learning, Data Cleansing, Model Evaluation, Data Pipelines, Technical Design, Software Development Methodologies, Technology Solutions, Systems Design, Data Collection, Data Science

    ★ 4.8 (369) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - Español

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, DevOps, AI Workflows, Model Evaluation, Machine Learning Methods, Automation

    Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • C

    Coursera

    MLOps in R: Deploying machine learning models using vetiver

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Continuous Deployment, Model Training, Application Deployment, Tidyverse (R Package), R Programming, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Machine Learning Methods, Dashboard Creation, Docker (Software), Containerization, Application Programming Interface (API)

    Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • C

    Coursera

    Databricks Machine Learning Fundamentals

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Model Training, Application Deployment, AI Workflows, Model Evaluation, Real Time Data, Engineering

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Español

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), AI Security, Generative AI, Model Deployment, Responsible AI, Model Optimization

    Intermediate · Course · 1 - 4 Weeks

    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Vertex Pipelines: Qwik Start

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

    Intermediate · Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • P

    Pragmatic AI Labs

    Production ML with Hugging Face

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Hugging Face, Model Optimization, Rust (Programming Language), CI/CD, LLM Application, Frontend Performance, AI Security, Performance Tuning, Applied Machine Learning, Large Language Modeling, Performance Testing, Cryptographic Protocols, Python Programming, Cryptography, Software Engineering

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1234…35

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

  • Deploying and Maintaining Production AI Systems: Coursera
  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
  • AWS: Machine Learning & MLOps Foundations: Whizlabs
  • Microsoft Generative AI Engineering: Microsoft
  • Automate, Evaluate and Deploy ML Models Confidently: Coursera
  • Managing Machine Learning Projects: Duke University
  • Machine Learning Operations (MLOps): Getting Started - Español: Google Cloud
  • MLOps in R: Deploying machine learning models using vetiver: Coursera
  • Databricks Machine Learning Fundamentals: Coursera
  • Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Español: Google Cloud

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