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
Skills you'll gain: MLOps (Machine Learning Operations), Model Training, Model Deployment, Model Optimization, Test Data, Model Evaluation, Data Synthesis, Development Environment, Claims Processing, Application Deployment, Record Keeping, Computer Hardware
Pragmatic AI Labs
Skills you'll gain: MLOps (Machine Learning Operations), Databricks, Apache Spark, Model Evaluation, Hugging Face, Data Architecture, Recurrent Neural Networks (RNNs), LLM Application, Data Science, Data Mining, Mathematical Modeling, Scala Programming, Continuous Monitoring, Rust (Programming Language), Lean Six Sigma, Statistical Inference, Artificial Intelligence, Functional Testing, Exploratory Data Analysis, Programming Principles
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Training, Application Lifecycle Management, DevOps, Continuous Deployment, Cloud Deployment, Machine Learning Methods, CI/CD, AI Workflows, Automation
KodeKloud
Skills you'll gain: MLOps (Machine Learning Operations), Apache Kafka, Apache Airflow, Apache Spark, Extract, Transform, Load, Data Lakes, Data Pipelines, Distributed Computing, Real Time Data, DevOps, Data Processing, Feature Engineering, CI/CD, Pandas (Python Package), Continuous Integration
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Training, Cloud Deployment, DevOps, Model Evaluation, AI Workflows, Automation, Devops Tools, Continuous Delivery, Machine Learning
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, Model Training, Application Lifecycle Management, DevOps, AI Workflows, Applied Machine Learning, CI/CD, Automation
Skills you'll gain: Model Evaluation, Generative AI, Model Optimization, MLOps (Machine Learning Operations), Google Cloud Platform, Responsible AI, Continuous Monitoring
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Data Modeling, Data Store, Feature Engineering, Applied Machine Learning, Machine Learning Methods, AI Workflows, Data Storage, Data Management, Data Processing
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Feature Engineering, Google Cloud Platform, Model Training, AI Workflows, Data Store, Metadata Management, Data Processing, Data Modeling, Data Management, Data Quality, Data Storage
Coursera
Skills you'll gain: Model Deployment, Unit Testing, MLOps (Machine Learning Operations), Kubernetes, Docker (Software), Containerization, Test Driven Development (TDD), Application Deployment, Continuous Integration, Software Testing, Model Training, CI/CD, Scalability, Scikit Learn (Machine Learning Library), Tensorflow, PyTorch (Machine Learning Library), Performance Tuning, Python Programming, Software Engineering, Git (Version Control System)
Skills you'll gain: MLOps (Machine Learning Operations), LLM Application, AI Security, Test Automation, Test Script Development, Test Driven Development (TDD), Unit Testing, CI/CD, Continuous Integration, Software Testing, Testability, Large Language Modeling, Model Deployment, Test Case, Responsible AI, Security Testing, AI Workflows, Python Programming, Statistical Analysis, SQL
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, Application Lifecycle Management, Model Training, DevOps, Applied Machine Learning, Cloud Deployment, AI Workflows, Devops Tools, Automation, CI/CD
In summary, here are 10 of our most popular mlops courses
- ML Model Development and Tracking: Hands-on Guide:Â KodeKloud
- Machine Learning with Databricks and MLflow:Â Pragmatic AI Labs
- Machine Learning Operations (MLOps): Getting Started - í•œêµì–´: Google Cloud
- Data Engineering Essentials:Â KodeKloud
- Machine Learning Operations (MLOps): Getting Started - Português Brasileiro: Google Cloud
- Machine Learning Operations (MLOps): Getting Started - 日本語版: Google Cloud
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 日本語版: Google Cloud
- MLOps with Vertex AI: Manage Features - 日本語版: Google Cloud
- MLOps with Vertex AI: Manage Features - í•œêµì–´: Google Cloud
- ML Production Systems:Â Coursera
