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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

    Architect AI Systems: From Concept to Code

    Skills you'll gain: Systems Architecture, AI Workflows, Process Modeling, Model Based Systems Engineering, System Design and Implementation, Systems Analysis, Enterprise Modeling, Model Training, Diagram Design, Dataflow, MLOps (Machine Learning Operations), Requirements Management

    Intermediate · Course · 1 - 4 Weeks

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    Board Infinity

    Deep Learning: Advanced Backbones and Efficient GPU Training

    Skills you'll gain: PyTorch (Machine Learning Library), Fine-tuning, Deep Learning, Vision Transformer (ViT), Transfer Learning, Convolutional Neural Networks, Model Optimization, Model Training, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Distributed Computing, Data Preprocessing, Embeddings, Memory Management

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Optimizing, Deploying, and Governing LLMs in the Enterprise

    Skills you'll gain: Model Deployment, Responsible AI, LLM Application, Large Language Modeling, MLOps (Machine Learning Operations), Multimodal Prompts, Enterprise Application Management, Application Deployment, Model Optimization, AI Workflows, Data Management, Generative AI, Data Strategy, AI Personalization, Data Governance, Scalability, Data Quality

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    Microsoft

    Microsoft Azure Data Scientist Associate (DP-100) Exam Prep

    Skills you'll gain: Responsible AI, Model Deployment, Model Training, Convolutional Neural Networks, Classification Algorithms, Data Analysis, Image Analysis, Data Store, Data Integration, Data Lakes, Model Evaluation, Transfer Learning, Cloud Management, Machine Learning Methods, Machine Learning, Data Processing, Data Preprocessing, Data Pipelines, Data Transformation, Data Manipulation

    4.2
    Rating, 4.2 out of 5 stars
    ·
    618 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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    Coursera

    Reproduce and Evaluate AI Research Workflows

    Skills you'll gain: Configuration Management, Experimentation, Software Documentation, Software Versioning, Software Configuration Management, Collaborative Software, Testability, Workflow Management, Development Environment

    Intermediate · Course · 1 - 4 Weeks

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    Neal Davis

    AWS Certified AI Practitioner Exam Prep

    Skills you'll gain: Prompt Engineering, Responsible AI, Model Evaluation, Generative Model Architectures, Model Deployment, Generative AI, Model Training, MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Data Governance, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), AI literacy, Large Language Modeling, Data Ethics, Taxonomy, Natural Language Processing

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    Google Cloud

    Production Machine Learning Systems

    Skills you'll gain: Model Optimization, MLOps (Machine Learning Operations), Model Deployment, Model Training, Systems Design, Tensorflow, Hybrid Cloud Computing, Google Cloud Platform, Performance Tuning, Machine Learning, Distributed Computing, Dependency Analysis, Data Pipelines

    4.6
    Rating, 4.6 out of 5 stars
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    1K reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
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    Google Cloud

    AI Infrastructure: ストレージ オプション

    Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Cloud Storage, Data Infrastructure, Model Deployment, Data Storage, Model Training, AI Workflows, Performance Tuning, Data Storage Technologies, Data Preprocessing, Data Processing, Infrastructure Architecture, MLOps (Machine Learning Operations), Data Pipelines, File Systems

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Packt

    LLMs in Enterprise

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Model Deployment, Responsible AI, Large Language Modeling, Fine-tuning, MLOps (Machine Learning Operations), Multimodal Prompts, Prompt Patterns, Enterprise Application Management, Application Deployment, Model Optimization, AI Workflows, Data Management, Model Evaluation, Model Training, Generative AI, Embeddings, API Design

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    Neal Davis

    AWS Machine Learning Engineer Associate Exam Prep

    Skills you'll gain: Model Deployment, AWS SageMaker, Amazon Bedrock, MLOps (Machine Learning Operations), Amazon Web Services, Cloud Deployment, Data Preprocessing, Model Evaluation, Amazon S3, Generative AI, Data Storage, Generative Model Architectures, Data Storage Technologies, Model Training, Feature Engineering, Exploratory Data Analysis, Applied Machine Learning, Machine Learning, Amazon Redshift, Cloud Engineering

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Databricks Machine Learning Quickstart

    Skills you'll gain: Databricks, Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Model Training, Model Evaluation, Feature Engineering, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Testing, AI Workflows, Machine Learning, System Monitoring, Security Controls

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Architect AI Solutions: From Needs to Models

    Skills you'll gain: AI Integrations, Generative Model Architectures, Requirements Analysis, Solution Design, Functional Requirement, Business Requirements, Scalability, Systems Integration

    Intermediate · Course · 1 - 4 Weeks

1…141516…35

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

  • Architect AI Systems: From Concept to Code: Coursera
  • Deep Learning: Advanced Backbones and Efficient GPU Training: Board Infinity
  • Optimizing, Deploying, and Governing LLMs in the Enterprise: Packt
  • Microsoft Azure Data Scientist Associate (DP-100) Exam Prep: Microsoft
  • Reproduce and Evaluate AI Research Workflows: Coursera
  • AWS Certified AI Practitioner Exam Prep: Neal Davis
  • Production Machine Learning Systems: Google Cloud
  • AI Infrastructure: ストレージ オプション: Google Cloud
  • LLMs in Enterprise: Packt
  • AWS Machine Learning Engineer Associate Exam Prep: Neal Davis

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