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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


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    Google Cloud

    Die vielfältigen Formen generativer KI

    Skills you'll gain: Google Gemini, Generative AI, Google Cloud Platform, AI Product Strategy, Cloud Infrastructure, Responsible AI, Artificial Intelligence, Model Deployment, MLOps (Machine Learning Operations)

    Beginner · Course · 1 - 3 Months

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    Packt

    Data Science Model Deployments and Cloud Computing on GCP

    Skills you'll gain: Docker (Software), CI/CD, Model Deployment, Cloud Deployment, Cloud Development, Application Performance Management, Google App Engine

    Intermediate · Course · 1 - 3 Months

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    Google Cloud

    ML Pipelines on Google Cloud - 日本語版

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

    Advanced · Course · 1 - 3 Months

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    Packt

    Generative AI Application Integration Patterns

    Skills you'll gain: Responsible AI, Generative AI, Generative Model Architectures, LLM Application, Prompt Engineering, ChatGPT, AI Enablement, AI Security, Cloud Development, Data Ethics, Real Time Data, Model Deployment, Cloud Computing Architecture, Artificial Intelligence, MLOps (Machine Learning Operations), Deep Learning, Scalability

    Beginner · Course · 1 - 3 Months

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    Coursera

    Automate & Secure LLM Deployments

    Skills you'll gain: LLM Application, CI/CD, Amazon CloudWatch, Infrastructure as Code (IaC), Cloud Deployment, DevSecOps, Enterprise Security, DevOps, Docker (Software), Cloud Management, System Monitoring, Performance Testing

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - 繁體中文

    Skills you'll gain: Prompt Engineering, Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, AI Orchestration, Big Data, Model Deployment, No-Code Development

    Beginner · Course · 1 - 3 Months

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    Coursera

    Build & Evaluate Decision Trees for ML

    Skills you'll gain: Model Evaluation, Decision Tree Learning, Data Preprocessing, Classification Algorithms, Applied Machine Learning, Java, Predictive Modeling, Machine Learning Software, Supervised Learning, Technical Communication, Feature Engineering, Tree Maps, MLOps (Machine Learning Operations), Machine Learning Algorithms, Machine Learning, Algorithms

    Advanced · Course · 1 - 4 Weeks

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    Coursera

    Orchestrate, Evaluate, and Release GenAI Systems

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), AI Orchestration, Dependency Analysis, Application Deployment, Continuous Deployment, Generative AI, Release Management, Regression Testing, Cloud Deployment, Verification And Validation, Site Reliability Engineering, CI/CD, Model Evaluation, Continuous Delivery, Data-Driven Decision-Making, Application Performance Management, Software Technical Review, Kubernetes, System Requirements

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Smart Analytics, Machine Learning, and AI on GCP - Italiano

    Skills you'll gain: Google Cloud Platform, Model Deployment, Unstructured Data, MLOps (Machine Learning Operations), Big Data, Data Pipelines, Cloud Deployment, Jupyter, Machine Learning, Artificial Intelligence, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Automate, Analyze, and Evaluate ML Experiments

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Key Performance Indicators (KPIs), Business Metrics, Performance Analysis, Performance Measurement, Responsible AI, Test Execution Engine, Performance Metric, Test Automation, Feature Engineering, Verification And Validation, Content Performance Analysis, Machine Learning, Data Ethics, Quality Assessment, Gap Analysis, Cost Benefit Analysis, Research Design, Quantitative Research

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Automate Data Onboarding, Validate, and Govern

    Skills you'll gain: Data Governance, General Data Protection Regulation (GDPR), Data Management, Data Strategy, Metadata Management, Data Architecture, Compliance Management, Data Storage Technologies, Data Integration, Cost Reduction, Data Maintenance, Data Processing, Information Privacy, Data Storage, MLOps (Machine Learning Operations), Data Quality, AI Enablement, Analytics, Extract, Transform, Load, Expense Management

    Intermediate · Course · 1 - 4 Weeks

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    Board Infinity

    Transformers in Action: A Practical Approach to NLP and AI

    Skills you'll gain: Hugging Face, Model Evaluation, Embeddings, Transfer Learning, Recurrent Neural Networks (RNNs), Model Deployment, Data Preprocessing, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

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

  • Die vielfältigen Formen generativer KI : Google Cloud
  • Data Science Model Deployments and Cloud Computing on GCP: Packt
  • ML Pipelines on Google Cloud - 日本語版: Google Cloud
  • Generative AI Application Integration Patterns: Packt
  • Automate & Secure LLM Deployments: Coursera
  • Introduction to AI and Machine Learning on GC - 繁體中文: Google Cloud
  • Build & Evaluate Decision Trees for ML: Coursera
  • Orchestrate, Evaluate, and Release GenAI Systems: Coursera
  • Smart Analytics, Machine Learning, and AI on GCP - Italiano: Google Cloud
  • Automate, Analyze, and Evaluate ML Experiments: Coursera

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