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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.


More to explore:

Popular MLOps Courses and Certifications


  • C

    Coursera

    Advancing Your Career in Production AI

    Skills you'll gain: Responsible AI, Data Ethics, Model Deployment, AI Product Strategy, Technical Design, Prompt Engineering, AI Security, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Technical Communication, Communication, AI Workflows, MLOps (Machine Learning Operations), LLM Application, Apache Airflow, System Design and Implementation, Python Programming, CI/CD, SQL, AWS CloudFormation

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Cloud Machine Learning Engineering and MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Google Cloud Platform, Model Deployment, Cloud Applications, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Microsoft Azure, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    89 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Build Testable Python Packages for AI

    Skills you'll gain: MLOps (Machine Learning Operations), Package and Software Management, Unit Testing, Testability, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Orchestrate, Analyze, and Evaluate ML Pipelines

    Skills you'll gain: Feature Engineering, Data Pipelines, Apache Airflow, MLOps (Machine Learning Operations), Data Preprocessing, Service Level, Model Evaluation, Real Time Data, Data Store, Data Transformation, Data Validation, Key Performance Indicators (KPIs)

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Automate and Evaluate ML Pipeline Tests

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Regression Testing, Unit Testing, Test Case, System Testing, Test Automation, Software Testing, Integration Testing, Test Planning, Verification And Validation, Anomaly Detection, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Deconstruct AI: Complex ML Problems

    Skills you'll gain: MLOps (Machine Learning Operations), Computational Thinking, Data Processing, Solution Design, Process Mapping, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Deploy & Evaluate Vision Models Effectively

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Performance Metric, Performance Measurement, Failure Analysis

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Automate, Optimize, and Monitor ML Models

    Skills you'll gain: Verification And Validation, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

  • Status: Hot New Release
    Hot New Release
    M

    Microsoft

    Microsoft Generative AI Engineering

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • L

    LearnKartS

    AWS AI Practitioner Certification Prep

    Skills you'll gain: Prompt Engineering, Responsible AI, Prompt Engineering Tools, Computer Vision, Machine Learning Algorithms, Data Wrangling, Deep Learning, Artificial Intelligence, Cloud Security, Amazon Elastic Compute Cloud, Embeddings, Model Deployment, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Data Security, Amazon S3, Data Governance, Governance, Encryption, Public Cloud

    4.5
    Rating, 4.5 out of 5 stars
    ·
    12 reviews

    Beginner · Specialization · 1 - 3 Months

  • C

    Coursera

    ML Concepts, Models & Workflow Essentials

    Skills you'll gain: Java Programming, Java, Feature Engineering, Deep Learning, Data Pipelines

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Agentic AI Performance & Reliability

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Anomaly Detection, Model Evaluation, Dashboard, CI/CD, Data Visualization, DevOps, Continuous Monitoring, Data-Driven Decision-Making, Performance Analysis, Key Performance Indicators (KPIs), Statistical Analysis, Performance Tuning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Automation, Agentic systems, Version Control

    Intermediate · Specialization · 3 - 6 Months

1…678…35

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

  • Advancing Your Career in Production AI: Coursera
  • Cloud Machine Learning Engineering and MLOps: Duke University
  • Build Testable Python Packages for AI: Coursera
  • Orchestrate, Analyze, and Evaluate ML Pipelines: Coursera
  • Automate and Evaluate ML Pipeline Tests: Coursera
  • Deconstruct AI: Complex ML Problems: Coursera
  • Deploy & Evaluate Vision Models Effectively: Coursera
  • Automate, Optimize, and Monitor ML Models: Coursera
  • Microsoft Generative AI Engineering: Microsoft
  • AWS AI Practitioner Certification Prep: LearnKartS

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