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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


  • Status: New
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    Coursera

    Applied Object Detection & Segmentation

    Skills you'll gain: Model Evaluation, Model Optimization, Model Deployment, MLOps (Machine Learning Operations), Transfer Learning, Image Quality, Model Training, Image Analysis, Analysis, Computer Vision, Tensorflow, Data Quality, Failure Analysis, Data Pipelines, Deep Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Performance Analysis, Docker (Software), Python Programming

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
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    Google Cloud

    Preparing for the Google Cloud Professional Data Engineer Exam 日本語版

    Skills you'll gain: MLOps (Machine Learning Operations), Data Processing, Model Deployment, Data Pipelines, Database Development, Data Infrastructure, Data Analysis, Google Cloud Platform, Data Architecture, Data Visualization, Data Modeling, Security Architecture Review, Interactive Data Visualization, Machine Learning, Cloud Security, Data Storage Technologies

    4.7
    Rating, 4.7 out of 5 stars
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    14 reviews

    Advanced · Course · 1 - 3 Months

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    Whizlabs

    NVIDIA: LLM Experimentation, Deployment, and Ethical AI

    Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Large Language Modeling, Artificial Intelligence, AI Workflows, Model Optimization, MLOps (Machine Learning Operations), Information Privacy, Model Deployment, Machine Learning, Natural Language Processing, Version Control, Model Evaluation, Scalability

    4.9
    Rating, 4.9 out of 5 stars
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    10 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    ML Model Training & Validation

    Skills you'll gain: MLOps (Machine Learning Operations), Data Pipelines, Model Evaluation, Systems Design, Transfer Learning, Data Preprocessing, Data Quality, Feature Engineering, Deep Learning, Python Programming, Data Validation, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Software Engineering, Debugging, Supervised Learning, Git (Version Control System), Performance Metric, Statistical Analysis

    Intermediate · Specialization · 1 - 3 Months

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    Coursera

    Microservices Architecture for AI Systems

    Skills you'll gain: Retrieval-Augmented Generation, Model Deployment, LLM Application, LangChain, Large Language Modeling, Microservices, Test Driven Development (TDD), Software Architecture, Scalability, MLOps (Machine Learning Operations), Cloud Deployment, Cloud Computing Architecture, API Design, Site Reliability Engineering, Kubernetes, Prompt Engineering, Containerization, Infrastructure as Code (IaC), Python Programming, Performance Analysis

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
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    EDUCBA

    DP-100 Microsoft Azure DS Exam

    Skills you'll gain: Microsoft Azure, Model Deployment, MLOps (Machine Learning Operations), Cloud Computing, Cloud Deployment, Data Pipelines, Data Store, Model Training, Data Management, Cloud Infrastructure, Applied Machine Learning, AI Workflows, Model Evaluation, Machine Learning Algorithms, Configuration Management, Development Environment

    4.6
    Rating, 4.6 out of 5 stars
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    29 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Production AI Model Development and Ethics

    Skills you'll gain: Responsible AI, Model Deployment, Feature Engineering, MLOps (Machine Learning Operations), Model Training, Model Evaluation, Data Ethics, PyTorch (Machine Learning Library), Model Optimization, Scikit Learn (Machine Learning Library), Data Preprocessing, Data Pipelines, Deep Learning, Software Documentation, Technical Documentation

    Intermediate · Course · 1 - 4 Weeks

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    CertNexus

    Follow a Machine Learning Workflow

    Skills you'll gain: Data Preprocessing, Data Analysis, Model Training, Data Collection, AI Workflows, MLOps (Machine Learning Operations), Statistical Analysis, Model Deployment, Data Processing, Data Cleansing, Applied Machine Learning, Predictive Modeling, Machine Learning, Model Evaluation, Descriptive Statistics, Machine Learning Algorithms, Process Management

    4.7
    Rating, 4.7 out of 5 stars
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    21 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Starweaver

    GenAI Data and Analytics Academy

    Skills you'll gain: Prompt Engineering, Fine-tuning, Generative AI Agents, Retrieval-Augmented Generation, CrewAI, AI Orchestration, Prompt Engineering Tools, AI Enablement, Vector Databases, Agentic Workflows, AI Workflows, Model Deployment, AI Personalization, Generative AI, Transfer Learning, Agentic systems, MLOps (Machine Learning Operations), Python Programming, System Monitoring, Engineering

    Intermediate · Specialization · 3 - 6 Months

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    Simplilearn

    LLM Fine-Tuning and Customization Training

    Skills you'll gain: Fine-tuning, LLM Application, LangChain, Model Optimization, Responsible AI, Large Language Modeling, Model Deployment, OpenAI, Data Preprocessing, Model Training, Model Evaluation, Reinforcement Learning

    3.5
    Rating, 3.5 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Whizlabs

    Exam Prep DP-100: Microsoft Azure Data Scientist Associate

    Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Data Science, Machine Learning, Prompt Engineering Tools, Model Evaluation, Applied Machine Learning, Data Store, AI Workflows, Apache Spark, Data Strategy, Data Import/Export, Azure Synapse Analytics, Cloud Computing, Fine-tuning, Data Pipelines, Continuous Monitoring, Data Preprocessing, Scalability, Development Environment

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Pearson

    Introduction to Transformer Models for NLP

    Skills you'll gain: Fine-tuning, Vision Transformer (ViT), Prompt Engineering, PyTorch (Machine Learning Library), Model Deployment, Transfer Learning, Hugging Face, Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Cloud Deployment, Computer Vision, Generative AI, Image Analysis, Generative Model Architectures, LLM Application, Application Deployment, Model Training, Embeddings, Data Preprocessing

    Intermediate · Specialization · 1 - 4 Weeks

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

  • Applied Object Detection & Segmentation: Coursera
  • Preparing for the Google Cloud Professional Data Engineer Exam 日本語版: Google Cloud
  • NVIDIA: LLM Experimentation, Deployment, and Ethical AI: Whizlabs
  • ML Model Training & Validation: Coursera
  • Microservices Architecture for AI Systems: Coursera
  • DP-100 Microsoft Azure DS Exam: EDUCBA
  • Production AI Model Development and Ethics: Coursera
  • Follow a Machine Learning Workflow: CertNexus
  • GenAI Data and Analytics Academy: Starweaver
  • LLM Fine-Tuning and Customization Training: Simplilearn

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