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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


  • C

    Coursera

    Validate, Analyze, and Monitor ML Models

    Skills you'll gain: Verification And Validation, Experimentation, Performance Testing, Benchmarking, Performance Analysis, Technical Communication

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Automate and Evaluate ML Pipeline Tests

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Regression Testing, Unit Testing, Test Case, System Testing, Test Automation, Software Testing, Integration Testing, Test Planning, Verification And Validation, Anomaly Detection, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Advanced RAG Patterns

    Skills you'll gain: Retrieval-Augmented Generation, Prompt Patterns, Agentic systems, Performance Testing, AI Workflows, Prompt Engineering, Data-Driven Decision-Making, Generative AI, Data Validation, Model Evaluation, Verification And Validation, A/B Testing, MLOps (Machine Learning Operations), Embeddings

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Docker for AI/ML

    Skills you'll gain: Model Context Protocol, Docker (Software), Development Environment, Containerization, Large Language Modeling, Model Deployment, Hugging Face, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, OpenAI API, Application Deployment, Jupyter, Command-Line Interface

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    使用 Cloud Run 部署及擴充 AI 模型

    Skills you'll gain: Model Deployment, Cloud Deployment, Google Cloud Platform, Generative AI, Serverless Computing, Application Deployment, AI Enablement, MLOps (Machine Learning Operations), Artificial Intelligence, Machine Learning Methods, Scalability, Performance Tuning

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Optimize Vision Datasets: Augment and Analyze

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

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Master Agentic AI: Core Principles & Real-World PC

    Skills you'll gain: Threat Modeling, Feature Engineering, Anomaly Detection, Data Visualization, MLOps (Machine Learning Operations), Agentic Workflows, AI Security, A/B Testing, Open Web Application Security Project (OWASP), Software Engineering, Data Ethics, Responsible AI, Technical Communication, Secure Coding, Agentic systems, AI Orchestration, DevSecOps, Continuous Monitoring, CI/CD, Reinforcement Learning

    Intermediate · Professional Certificate · 3 - 6 Months

  • C

    Coursera

    Deep Learning Engineering

    Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Vision Transformer (ViT), Model Evaluation, Transfer Learning, MLOps (Machine Learning Operations), Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), Distributed Computing, Performance Tuning, Applied Machine Learning, Dataflow, Tensorflow, Deep Learning, Cloud Computing, Data Pipelines, Computer Vision

    Advanced · Specialization · 1 - 3 Months

  • P

    Packt

    Generative AI & AWS AI Practitioner Certification

    Skills you'll gain: Responsible AI, Amazon Bedrock, Generative AI, AWS SageMaker, Large Language Modeling, Amazon Web Services, Machine Learning, Supervised Learning, Model Evaluation, Model Deployment, Artificial Intelligence, MLOps (Machine Learning Operations), Unsupervised Learning, Transfer Learning, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Balance and Analyze Image Segmentation

    Skills you'll gain: Failure Analysis, Applied Machine Learning, Spatial Data Analysis, Predictive Modeling, Statistical Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Optimizing AI System Operations and Costs

    Skills you'll gain: Cloud Management, Patch Management, MLOps (Machine Learning Operations), Data Governance, Financial Forecasting, AI Security, Incident Management, Ansible, Operations, Budgeting, Cost Reduction, IT Automation, Data Management, Metadata Management, Site Reliability Engineering, Compliance Management, Cost Management, System Monitoring, Predictive Modeling, Financial Management

    Intermediate · Course · 1 - 3 Months

  • W

    Whizlabs

    Fundamentals of AWS AI and ML Solutions

    Skills you'll gain: Model Deployment, AWS SageMaker, MLOps (Machine Learning Operations), Image Analysis, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Deep Learning, AI Personalization, Model Evaluation, Applied Machine Learning, Computer Vision, Machine Learning, Feature Engineering, Text Mining, Data Wrangling

    Beginner · Course · 1 - 4 Weeks

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

  • Validate, Analyze, and Monitor ML Models: Coursera
  • Automate and Evaluate ML Pipeline Tests: Coursera
  • Advanced RAG Patterns: Coursera
  • Docker for AI/ML: Packt
  • 使用 Cloud Run 部署及擴充 AI 模型: Google Cloud
  • Optimize Vision Datasets: Augment and Analyze: Coursera
  • Master Agentic AI: Core Principles & Real-World PC: Coursera
  • Deep Learning Engineering: Coursera
  • Generative AI & AWS AI Practitioner Certification: Packt
  • Balance and Analyze Image Segmentation: Coursera

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