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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

    Automate, Analyze, and Evaluate ML Experiments

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

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Deploy and Optimize Cloud AI Architectures

    Skills you'll gain: Model Optimization, Cloud Computing Architecture, Cloud Management, Model Training, Cloud Infrastructure, Distributed Computing, Data Pipelines, Managed Services, Cost Management, Cost Benefit Analysis

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Evaluate and Create ML Workflows Visually

    Skills you'll gain: Model Training, MLOps (Machine Learning Operations), Software Visualization, Grafana, Code Reusability, Performance Metric, Data Pipelines, Performance Analysis, Collaborative Software

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Automate Cloud Workflows with Python Scripting

    Skills you'll gain: Infrastructure as Code (IaC), Scripting, Data Persistence, Python Programming, AI Workflows, Command-Line Interface, Virtual Machines, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Engineer, Validate, and Govern ML Data

    Skills you'll gain: Apache Airflow, Data Governance, Data Management, Apache Spark, PySpark, Databricks, Record Keeping

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Design Scalable AI Systems and Components

    Skills you'll gain: Solution Architecture, Systems Design, Architectural Drawing, Software Design, Artificial Intelligence and Machine Learning (AI/ML), Design Specifications, Dataflow, Data Store, Functional Specification, Diagram Design, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    ML Pipelines on Google Cloud en Español

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

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Monitor, Scale and Backup Your AI App

    Skills you'll gain: Site Reliability Engineering, Scalability, Performance Analysis, Event Monitoring, Service Level Agreement, Dashboard Creation, Performance Review

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Integrate and Optimize AI Services Seamlessly

    Skills you'll gain: AI Integrations, Continuous Deployment, System Monitoring, API Testing, Middleware, Restful API, Site Reliability Engineering, Distributed Computing, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Build Predictive & Supervised Models

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Model Training, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Performance Metric, Machine Learning Algorithms, Regression Analysis, Continuous Monitoring, Statistical Methods

    Intermediate · Course · 1 - 4 Weeks

  • B

    Board Infinity

    Transformers in Action: A Practical Approach to NLP and AI

    Skills you'll gain: Hugging Face, Model Evaluation, Model Optimization, Embeddings, Transfer Learning, LLM Application, Model Training, Recurrent Neural Networks (RNNs), Generative Model Architectures, Fine-tuning, Model Deployment, Data Preprocessing

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Optimize and Manage Your ML Codebase

    Skills you'll gain: MLOps (Machine Learning Operations), Model Optimization, Version Control, Model Deployment, CI/CD, Git (Version Control System), Continuous Deployment, Performance Tuning, Continuous Integration, Software Versioning, Release Management, Continuous Delivery, Performance Testing, PyTorch (Machine Learning Library), Test Automation, Performance Improvement

    Intermediate · Course · 1 - 4 Weeks

1…313233…35

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

  • Automate, Analyze, and Evaluate ML Experiments: Coursera
  • Deploy and Optimize Cloud AI Architectures: Coursera
  • Evaluate and Create ML Workflows Visually: Coursera
  • Automate Cloud Workflows with Python Scripting: Coursera
  • Engineer, Validate, and Govern ML Data: Coursera
  • Design Scalable AI Systems and Components: Coursera
  • ML Pipelines on Google Cloud en Español: Google Cloud
  • Monitor, Scale and Backup Your AI App: Coursera
  • Integrate and Optimize AI Services Seamlessly: Coursera
  • Build Predictive & Supervised Models: Coursera

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