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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
    Free Trial
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    Coursera

    Deploy, Evaluate and Create AI Systems

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Cloud Deployment, Continuous Deployment, Containerization, Docker (Software), DevOps, Release Management, Version Control, Continuous Delivery, Dependency Analysis, Performance Tuning, Performance Testing, Package and Software Management, Performance Analysis, Performance Metric, Application Performance Management, Application Development, Cost Benefit Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Coursera

    Optimize Vision Datasets: Augment and Analyze

    Skills you'll gain: Transfer Learning, Model Training, Model Optimization, Image Quality, Computer Vision, Image Analysis, Data Pipelines, Data Transformation, Data Manipulation, Exploratory Data Analysis, Artificial Intelligence and Machine Learning (AI/ML)

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
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    Google Cloud

    ML Pipelines on Google Cloud - 日本語版

    Skills you'll gain: Google Cloud Platform, CI/CD, Tensorflow, Model Deployment, MLOps (Machine Learning Operations), Data Pipelines, AI Orchestration, Model Training, Metadata Management, PyTorch (Machine Learning Library), Continuous Deployment

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Coursera

    Optimize AI: Fine-Tune & Maximize Accuracy

    Skills you'll gain: Fine-tuning, Vision Transformer (ViT), Model Deployment, Model Optimization, Model Training, MLOps (Machine Learning Operations), Keras (Neural Network Library), Predictive Modeling

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes

    Skills you'll gain: Google Cloud Platform, Model Deployment, Tensorflow, Kubernetes, Scalability, Cloud Deployment, Image Analysis, Applied Machine Learning, Model Training, Cloud Computing, MLOps (Machine Learning Operations), Cloud Management, Cloud Storage, Data Management

    Intermediate · Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Coursera

    Harden AI: Secure Your ML Pipelines

    Skills you'll gain: AI Security, Vulnerability Scanning, Hardening, DevSecOps, Vulnerability Assessments, Responsible AI, Identity and Access Management, MLOps (Machine Learning Operations), Cyber Governance, Infrastructure Security, Application Security, Security Controls, CI/CD, Continuous Monitoring, AI Personalization, Resilience, Compliance Management, Anomaly Detection, Data Integrity, Engineering

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Coursera

    Building Reliable LLM Systems

    Skills you'll gain: LLM Application, Model Evaluation, Large Language Modeling, Retrieval-Augmented Generation, Vector Databases, MLOps (Machine Learning Operations), Performance Tuning, Debugging, Performance Testing, Statistical Methods, Query Languages, SQL, Statistical Hypothesis Testing, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Python Programming

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Coursera

    Document and Evaluate LLM Prompting Success

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Token Optimization, LLM Application, MLOps (Machine Learning Operations), Retrieval-Augmented Generation, Technical Documentation, Performance Tuning, Large Language Modeling, Technical Writing, Model Optimization, Configuration Management, Performance Testing, Data Maintenance, Benchmarking, Requirements Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
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    Coursera

    Data and Machine Learning for Technical Product Managers

    Skills you'll gain: Model Evaluation, Technical Communication, Technical Product Management, Workflow Management, Program Evaluation, Performance Metric, Agile Project Management, Data Analysis, Agile Methodology, Project Management, Analytics, Stakeholder Communications, Project Performance, Data-Driven Decision-Making, AI Integrations, Machine Learning, Large Language Modeling, R Programming, Data Visualization

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Présentation de l'IA et du machine learning sur Google Cloud

    Skills you'll gain: Generative AI, Generative AI Agents, Google Cloud Platform, Google Gemini, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Agentic Workflows, Prompt Engineering, Applied Machine Learning, Model Deployment, Model Training, Machine Learning, No-Code Development, Model Evaluation

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Google Cloud

    ML Pipelines on Google Cloud - 한국어

    Skills you'll gain: CI/CD, Apache Airflow, Data Pipelines, MLOps (Machine Learning Operations), Google Cloud Platform, Tensorflow, Continuous Integration, Metadata Management, Machine Learning Methods, Continuous Deployment, Model Training, AI Orchestration, Model Deployment, AI Workflows, Data Validation

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Harden AI: Patch and Recover Incidents Fast

    Skills you'll gain: Incident Response, AI Security, Incident Management, Model Deployment, Site Reliability Engineering, Patch Management, MLOps (Machine Learning Operations), System Monitoring, Problem Management, Computer Security Incident Management, Package and Software Management, Continuous Monitoring, Dependency Analysis, Disaster Recovery, Anomaly Detection, Application Deployment, Automation, Dashboard Creation

    Intermediate · Course · 1 - 4 Weeks

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

  • Deploy, Evaluate and Create AI Systems: Coursera
  • Optimize Vision Datasets: Augment and Analyze: Coursera
  • ML Pipelines on Google Cloud - 日本語版: Google Cloud
  • Optimize AI: Fine-Tune & Maximize Accuracy: Coursera
  • Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes: Google Cloud
  • Harden AI: Secure Your ML Pipelines: Coursera
  • Building Reliable LLM Systems: Coursera
  • Document and Evaluate LLM Prompting Success: Coursera
  • Data and Machine Learning for Technical Product Managers: Coursera
  • Présentation de l'IA et du machine learning sur Google Cloud: Google Cloud

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