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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

    Advancing Your Career in AI and Machine Learning Engineering

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Technical Communication, MLOps (Machine Learning Operations), Machine Learning, Artificial Intelligence, Model Deployment, Technical Design, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Advancing Your Career in Production AI

    Skills you'll gain: Model Optimization, Responsible AI, Data Ethics, Model Training, Model Deployment, Technical Design, Prompt Engineering, AI Security, Artificial Intelligence and Machine Learning (AI/ML), 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

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

    Coursera

    ML Production Systems

    Skills you'll gain: Model Deployment, Unit Testing, MLOps (Machine Learning Operations), Kubernetes, Docker (Software), Containerization, Test Driven Development (TDD), Application Deployment, Continuous Integration, Software Testing, Model Training, CI/CD, Scalability, Scikit Learn (Machine Learning Library), Tensorflow, PyTorch (Machine Learning Library), Performance Tuning, Python Programming, Software Engineering, Git (Version Control System)

    Intermediate · Specialization · 1 - 3 Months

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

    Coursera

    Career Development for Multimodal Intelligence

    Skills you'll gain: Vision Transformer (ViT), Generative Model Architectures, Model Optimization, MLOps (Machine Learning Operations), Generative AI, AI Integrations, Large Language Modeling, Model Deployment, Model Training, Tensorflow, PyTorch (Machine Learning Library), Embeddings, Retrieval-Augmented Generation, Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision, Natural Language Processing, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Production-Ready Multimodal ML Engineering

    Skills you'll gain: MLOps (Machine Learning Operations), Data Validation, Model Deployment, Test Driven Development (TDD), Apache Airflow, Data Pipelines, Containerization, Extract, Transform, Load, Kubernetes, Model Training, Data Integrity, Model Optimization, Cloud-Native Computing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Artificial Intelligence, Artificial Neural Networks, Machine Learning Algorithms, Natural Language Processing, Algorithms

    Intermediate · Course · 3 - 6 Months

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

    Coursera

    Automate ML Pipelines for Peak Performance

    Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Optimization, Model Training, Workflow Management, Predictive Modeling

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Production ML Engineering: Packaging, APIs, and Testing

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Software Documentation, Code Reusability, Model Training, Test Script Development, Continuous Delivery, Test Automation, Model Evaluation, Continuous Integration, Technical Documentation, API Design, Application Programming Interface (API), Data Validation, Applied Machine Learning, Machine Learning Methods, Maintainability, Version Control, Package and Software Management, Code Review

    Intermediate · Course · 1 - 3 Months

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

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

    Coursera

    Deconstruct AI: Complex ML Problems

    Skills you'll gain: MLOps (Machine Learning Operations), Computational Thinking, Systems Design, Software Architecture, Data Processing, Process Modeling, Code Reusability, Solution Design, Diagram Design, Process Mapping, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Orchestrate, Analyze, and Evaluate ML Pipelines

    Skills you'll gain: Feature Engineering, Data Pipelines, Apache Airflow, MLOps (Machine Learning Operations), Service Level, AI Orchestration, Data Store, Data Transformation, Change Control, Key Performance Indicators (KPIs)

    Intermediate · Course · 1 - 4 Weeks

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

    Packt

    RAG-Driven Generative AI

    Skills you'll gain: Generative AI, OpenAI, AI Workflows, Data Pipelines, Semantic Web, Deep Learning, Scalability, Artificial Intelligence, Natural Language Processing, Machine Learning, Data Science

    Advanced · Course · 1 - 3 Months

    Category: New
    New
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Build Testable Python Packages for AI

    Skills you'll gain: MLOps (Machine Learning Operations), Package and Software Management, Unit Testing, Code Reusability, Testability, Software Design, Python Programming, AI Workflows, Test Script Development, Test Case, Test Tools

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…567…35

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

  • Advancing Your Career in AI and Machine Learning Engineering: Coursera
  • Advancing Your Career in Production AI: Coursera
  • ML Production Systems: Coursera
  • Career Development for Multimodal Intelligence: Coursera
  • Production-Ready Multimodal ML Engineering: Coursera
  • Automate ML Pipelines for Peak Performance: Coursera
  • Production ML Engineering: Packaging, APIs, and Testing: Coursera
  • Deploy & Evaluate Vision Models Effectively: Coursera
  • Deconstruct AI: Complex ML Problems: Coursera
  • Orchestrate, Analyze, and Evaluate ML Pipelines: Coursera

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