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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.

Popular MLOps Courses and Certifications


  • Status: New
    New
    Status: Free Trial
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    Coursera

    Deploying and Maintaining Production AI Systems

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Dashboard Creation, Generative AI, Dependency Analysis, Dashboard, Application Deployment, Continuous Deployment, Model Training, Responsible AI, Site Reliability Engineering, Release Management, Kubernetes, Application Performance Management, CI/CD, Performance Analysis, Continuous Monitoring, Automation, Cloud Platforms, Data-Driven Decision-Making

    Intermediate · Course · 3 - 6 Months

  • G

    Google Cloud

    Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Español

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), AI Security, Generative AI, Model Deployment, Responsible AI, Model Optimization

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Status: Preview
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    Coursera

    Databricks Machine Learning Fundamentals

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Model Training, Application Deployment, AI Workflows, Model Evaluation, Real Time Data, Engineering

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    KodeKloud

    Deploy ML Models to Production

    Skills you'll gain: AWS SageMaker, Model Deployment, MLOps (Machine Learning Operations), Data Governance, Data Management, Model Training, Data Security, Amazon Web Services, Application Deployment, Cloud Deployment, General Data Protection Regulation (GDPR), Model Optimization, Model Evaluation, Information Privacy, Application Programming Interface (API)

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    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

  • Status: Free Trial
    Free Trial
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    Coursera

    Secure AI Model Deployments & Lifecycles

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), AI Security, Cloud Deployment, DevOps, CI/CD, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Metadata Management, System Monitoring, Software Versioning, Data-Driven Decision-Making, Incident Response

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Vertex Pipelines: Qwik Start

    Skills you'll gain: MLOps (Machine Learning Operations), Model Training, Model Deployment, Google Cloud Platform, Applied Machine Learning, Data Pipelines, AI Integrations, Machine Learning

    Intermediate · Project · Less Than 2 Hours

  • Status: New
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    Status: Free Trial
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    KodeKloud

    Hands-On MLOps Fundamentals for ML Engineers

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Architecture, Model Training, Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Data Governance, Machine Learning, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Unsupervised Learning, Automation

    Beginner · Specialization · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    Board Infinity

    MLOps and LLMOps: Deploying and Scaling AI in Production

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, LLM Application, Application Deployment, Model Training, Cloud Deployment, Continuous Deployment, AI Workflows, AI Security, Data Ethics, Responsible AI, Prompt Engineering, Retrieval-Augmented Generation, Scalability, CI/CD, Site Reliability Engineering, Model Evaluation, Release Management, System Monitoring, Containerization

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Whizlabs

    Exam Prep MLA-C01: AWS Machine Learning Engineer Associate

    Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Optimization, AWS Kinesis, Fraud detection, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning

    3.9
    Rating, 3.9 out of 5 stars
    ·
    12 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    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

  • Status: New
    New
    Status: Free Trial
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    Whizlabs

    AI/ML & Advanced AWS Services

    Skills you'll gain: AWS SageMaker, Amazon Bedrock, Generative AI, Generative AI Agents, MLOps (Machine Learning Operations), Retrieval-Augmented Generation, Prompt Engineering, Amazon Web Services, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Model Training, Agentic Workflows, Artificial Intelligence, Natural Language Processing, Model Deployment, Image Analysis, Computer Vision, Data Wrangling

    Beginner · Course · 1 - 4 Weeks

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