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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: Free Trial
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    Alberta Machine Intelligence Institute

    Machine Learning: Algorithms in the Real World

    Skills you'll gain: Supervised Learning, Data Preprocessing, Feature Engineering, Model Optimization, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Model Evaluation, Data Quality, Machine Learning Methods, Classification Algorithms, Model Training, MLOps (Machine Learning Operations), Model Deployment, Jupyter, Statistical Machine Learning, Data Validation, Machine Learning, Project Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Specialization · 3 - 6 Months

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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

  • Status: New
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    Coursera

    Deploy Vector DBs Securely

    Skills you'll gain: Vector Databases, Grafana, Containerization, Role-Based Access Control (RBAC), Docker (Software), MLOps (Machine Learning Operations), Application Deployment, AI Security, Enterprise Security, Scalability, Data Access, Authorization (Computing), Dashboard Creation, Encryption, Cryptographic Protocols, Performance Tuning, System Monitoring, Infrastructure Security, Continuous Monitoring

    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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    Coursera

    Training, Evaluating, and Monitoring Machine Learning Models

    Skills you'll gain: Model Evaluation, Model Training, MLOps (Machine Learning Operations), System Monitoring, Continuous Monitoring, Model Deployment, Verification And Validation, Performance Metric, A/B Testing, Statistical Methods, Failure Analysis, Statistical Hypothesis Testing, Applied Machine Learning, Statistical Analysis, Scikit Learn (Machine Learning Library), Benchmarking

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
    Free Trial
    B

    Board Infinity

    Managing AI Systems: Development, Deployment, and Governance

    Skills you'll gain: AI Security, AI Orchestration, MLOps (Machine Learning Operations), Model Deployment, Vulnerability Assessments, AI Workflows, Governance Risk Management and Compliance, Retrieval-Augmented Generation, Responsible AI, Compliance Auditing, LLM Application, Personally Identifiable Information, Regulatory Compliance, Regulatory Requirements, Application Deployment, Generative Model Architectures, Decision Intelligence, Model Training, Cloud Deployment, Artificial Intelligence

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
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    Coursera

    Deploy, Manage, and Orchestrate Your Models

    Skills you'll gain: Kubernetes, Docker (Software), Containerization, Application Deployment

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Introduction to AI and Machine Learning on Google Cloud

    Skills you'll gain: Generative AI, Generative AI Agents, Google Gemini, Google Cloud Platform, Generative Model Architectures, MLOps (Machine Learning Operations), Prompt Engineering, Tensorflow, AI Workflows, Cloud Infrastructure, Applied Machine Learning, Artificial Intelligence, Data Infrastructure, Multimodal Prompts, Model Deployment, Model Training, Machine Learning, Model Evaluation, Supervised Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    328 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
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    Edge Impulse

    Edge AI for Microcontrollers

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Applied Machine Learning, Embedded Software, Model Training, Machine Learning Methods, Embedded Systems, MLOps (Machine Learning Operations), Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Responsible AI, Data Collection, Predictive Modeling, Artificial Intelligence, Model Optimization, AI literacy, AI Product Strategy, Prototyping, Product Development

    4.8
    Rating, 4.8 out of 5 stars
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    892 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
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    John Wiley & Sons

    Data Processing, Machine Learning, and Model Evaluation

    Skills you'll gain: Data Preprocessing, Model Evaluation, Data Processing, Model Deployment, Data Transformation, MLOps (Machine Learning Operations), Unsupervised Learning, Data Cleansing, Predictive Modeling, Model Training, Data Science, Data Analysis, Applied Machine Learning, Model Optimization, Technical Communication, Supervised Learning, Machine Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Architect Multimodal AI Solutions End-to-End

    Skills you'll gain: Technical Documentation, Solution Architecture, Model Deployment, Software Documentation, AI Integrations, MLOps (Machine Learning Operations), AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Systems Architecture, Systems Development Life Cycle, Cloud Computing Architecture, Software Design Documents, Data Architecture, Data Integration, Systems Design, Functional Specification, Data Pipelines, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Google Cloud

    AI 基础设施:存储选项

    Skills you'll gain: Google Cloud Platform, Model Deployment, Cloud Infrastructure, Cloud Storage, Data Management, Data Processing, Data Infrastructure, Model Training, Data Storage, Cloud Deployment, Cloud Solutions, Data Storage Technologies, MLOps (Machine Learning Operations), Applied Machine Learning, Performance Tuning, File Systems

    Intermediate · Course · 1 - 3 Months

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

  • Machine Learning: Algorithms in the Real World: Alberta Machine Intelligence Institute
  • AWS Machine Learning Engineer Associate Exam Prep: Neal Davis
  • Deploy Vector DBs Securely: Coursera
  • Deep Learning: Advanced Backbones and Efficient GPU Training: Board Infinity
  • Training, Evaluating, and Monitoring Machine Learning Models: Coursera
  • Managing AI Systems: Development, Deployment, and Governance: Board Infinity
  • Deploy, Manage, and Orchestrate Your Models: Coursera
  • Introduction to AI and Machine Learning on Google Cloud: Google Cloud
  • Edge AI for Microcontrollers: Edge Impulse
  • Data Processing, Machine Learning, and Model Evaluation: John Wiley & Sons

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