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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


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    Pragmatic AI Labs

    Generative AI and LLMs on Databricks

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Generative AI, Prompt Engineering Tools, Generative AI Agents, LLM Application, OpenAI, Claude Code, Anthropic Claude, Rust (Programming Language), Databricks, Embeddings, MLOps (Machine Learning Operations), Vector Databases, Data Architecture, DevOps, Python Programming, Software Architecture, Scala Programming, Governance

    Intermediate · Course · 1 - 4 Weeks

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    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

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    Coursera

    Evaluate and Create ML Workflows Visually

    Skills you'll gain: MLOps (Machine Learning Operations), PyTorch (Machine Learning Library), Grafana, Performance Metric, Data Pipelines, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

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    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

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    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

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    Coursera

    Integrate, Scale, and Monitor ML Microservices

    Skills you'll gain: Microservices, MLOps (Machine Learning Operations), Application Performance Management, Site Reliability Engineering, Testability, Continuous Monitoring, Maintainability, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

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    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

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    Coursera

    Debug ML Code: Fix, Trace & Evaluate

    Skills you'll gain: Regression Testing, Debugging, Unit Testing, Test Case, Code Review, Root Cause Analysis

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Validate Multimodal Data: Ensure Quality

    Skills you'll gain: Data Integrity, Verification And Validation, Reconciliation, Debugging, Auditing

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Building, Optimizing, and Validating Machine Learning Models

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Workflow Management, Verification And Validation, Business Logic, Machine Learning, Supervised Learning, Statistical Machine Learning, Statistical Modeling, Performance Tuning, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Benchmarking, Random Forest Algorithm, Performance Analysis, Cost Management, Resource Utilization

    Intermediate · Course · 1 - 3 Months

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    Pragmatic AI Labs

    Enterprise AI and Data Engineering with Databricks

    Skills you'll gain: Prompt Engineering, MLOps (Machine Learning Operations), Data Pipelines, Databricks, Generative AI, Data Lakes, Generative AI Agents, Data Governance, Data Architecture, AI Enablement, Data Modeling, Data Management, Data Processing, Data Strategy, Data Quality, Scala Programming, SQL, Python Programming, Data Visualization, Data Literacy

    Beginner · Specialization · 3 - 6 Months

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    Coursera

    Transformers Unleashed: Master the Architecture of Modern AI

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Systems Architecture, Model Evaluation, Model Deployment, Extract, Transform, Load, Systems Design, Data Pipelines, Vision Transformer (ViT), System Design and Implementation, Software Documentation, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Apache Spark, Natural Language Processing, Pandas (Python Package), Cloud Deployment, Machine Learning, Computer Vision, Computational Thinking

    Intermediate · Professional Certificate · 3 - 6 Months

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

  • Generative AI and LLMs on Databricks: Pragmatic AI Labs
  • Validate, Analyze, and Monitor ML Models: Coursera
  • Evaluate and Create ML Workflows Visually: Coursera
  • 使用 Cloud Run 部署及擴充 AI 模型: Google Cloud
  • Automate and Evaluate ML Pipeline Tests: Coursera
  • Integrate, Scale, and Monitor ML Microservices: Coursera
  • Balance and Analyze Image Segmentation: Coursera
  • Debug ML Code: Fix, Trace & Evaluate: Coursera
  • Validate Multimodal Data: Ensure Quality: Coursera
  • Building, Optimizing, and Validating Machine Learning Models: Coursera

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