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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


  • P

    Packt

    Real-World Edge Computing

    Skills you'll gain: Model Deployment, Cloud-Native Computing, Application Deployment, Containerization, Security Controls, Kubernetes, Network Planning And Design, MLOps (Machine Learning Operations), Cloud Computing, Endpoint Security, Applied Machine Learning, Enterprise Application Management, Continuous Deployment, Cloud Infrastructure, Docker (Software), Application Security, DevOps, General Networking, Software Design, Software Development

    Intermediate · Course · 3 - 6 Months

  • G

    Google Cloud

    프로덕션 머신러닝 시스템

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Model Training, Tensorflow, Google Cloud Platform, Model Optimization, Machine Learning Methods, Applied Machine Learning, Machine Learning, Data Validation, Model Evaluation, Distributed Computing, Scalability, Hybrid Cloud Computing, Data Pipelines, Dependency Analysis, Debugging

    Advanced · Course · 1 - 3 Months

  • G

    Google Cloud

    Production Machine Learning Systems - Português Brasileiro

    Skills you'll gain: Model Training, Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Model Optimization, Tensorflow, Performance Tuning, Model Evaluation, Systems Architecture, Data Validation, Machine Learning, Distributed Computing, Hybrid Cloud Computing, Debugging, Dependency Analysis

    Advanced · Course · 1 - 3 Months

  • G

    Google Cloud

    Pengantar AI dan Machine Learning di Google Cloud

    Skills you'll gain: Generative AI, Google Gemini, Generative AI Agents, Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, AI Workflows, Cloud Infrastructure, AI literacy, Data Infrastructure, Artificial Intelligence, Large Language Modeling, Model Training, Model Deployment, Applied Machine Learning, Model Evaluation, Predictive Modeling, Machine Learning

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Validate, Analyze, and Monitor ML Models

    Skills you'll gain: Verification And Validation, Release Management, Maintainability, Experimentation, Performance Testing, Benchmarking, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Vertex AI でノートブックを使用する

    Skills you'll gain: Jupyter, MLOps (Machine Learning Operations), Model Deployment, AI Workflows, Google Cloud Platform, Data Preprocessing, Applied Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Utiliser BigQuery Machine Learning pour l'inférence

    Skills you'll gain: Analytics, Data Analysis, Google Cloud Platform, Applied Machine Learning, Model Training, MLOps (Machine Learning Operations), Machine Learning Methods, Model Deployment

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Integrate Embeddings and Chroma

    Skills you'll gain: Vector Databases, AI Integrations, LangChain, Data Integration, Retrieval-Augmented Generation, Prompt Engineering, AI Orchestration

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Debug ML Code: Fix, Trace & Evaluate

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

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Time Series Analysis with Spark

    Skills you'll gain: Model Deployment, Apache Spark, Time Series Analysis and Forecasting, MLOps (Machine Learning Operations), Big Data, Feature Engineering, Statistical Analysis, Distributed Computing, Forecasting, Anomaly Detection, Generative AI, Predictive Modeling, Model Training, Exploratory Data Analysis, Data Pipelines, Model Evaluation, Data Cleansing, Data Transformation, Data Quality, Statistical Modeling

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    BigQuery ML を推論に使用する

    Skills you'll gain: Big Data, Analytics, Data Analysis, Model Training, Applied Machine Learning, Model Deployment, MLOps (Machine Learning Operations), Machine Learning, Predictive Modeling

    Beginner · Course · 1 - 4 Weeks

  • E

    Edureka

    Getting Started with Automated Machine Learning (AutoML)

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Optimization, Automation, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Data Validation, Data Quality

    Beginner · Course · 1 - 4 Weeks

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

  • Real-World Edge Computing: Packt
  • 프로덕션 머신러닝 시스템: Google Cloud
  • Production Machine Learning Systems - Português Brasileiro : Google Cloud
  • Pengantar AI dan Machine Learning di Google Cloud: Google Cloud
  • Validate, Analyze, and Monitor ML Models: Coursera
  • Vertex AI でノートブックを使用する: Google Cloud
  • Utiliser BigQuery Machine Learning pour l'inférence: Google Cloud
  • Integrate Embeddings and Chroma: Coursera
  • Debug ML Code: Fix, Trace & Evaluate: Coursera
  • Time Series Analysis with Spark: Packt

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