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
KodeKloud
Skills you'll gain: AWS SageMaker, Model Deployment, MLOps (Machine Learning Operations), Data Governance, Model Training, Data Security, Amazon Web Services, Application Deployment, General Data Protection Regulation (GDPR), Model Optimization, Information Privacy
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Scalability, Model Optimization, CI/CD, Continuous Deployment, Continuous Delivery, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Continuous Integration, Performance Measurement, Business Metrics, Verification And Validation, AI Workflows, Business Priorities, Performance Analysis, Strategic Decision-Making
Skills you'll gain: Model Evaluation, Generative AI, Continuous Monitoring, Model Optimization, MLOps (Machine Learning Operations), Applied Machine Learning, Responsible AI
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, Software Documentation, Code Reusability, Model Training, Test Script Development, Continuous Delivery, Test Automation, Model Evaluation, Continuous Integration, Technical Documentation, API Design, Application Programming Interface (API), Data Validation, Applied Machine Learning, Machine Learning Methods, Maintainability, Version Control, Package and Software Management, Code Review
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), AI Security, Cloud Deployment, DevOps, CI/CD, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Metadata Management, System Monitoring, Software Versioning, Data-Driven Decision-Making, Incident Response
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: Model Deployment, Databricks, MLOps (Machine Learning Operations), Feature Engineering, Apache Spark, Model Training, AI Workflows, Machine Learning Software, Data Lakes, CI/CD, Model Evaluation, Applied Machine Learning, Data Store, Machine Learning, Development Environment, Predictive Modeling, Statistical Machine Learning, Data Science, Machine Learning Algorithms, Python Programming
Skills you'll gain: Fine-tuning, Model Deployment, MLOps (Machine Learning Operations), AWS SageMaker, Software Documentation, Data Pipelines, AI Integrations, Tensorflow, Solution Architecture, Model Evaluation, Apache Airflow, Model Optimization, Systems Design, Transfer Learning, Unit Testing, PyTorch (Machine Learning Library), API Design, Cloud Computing, Network Architecture, Deep Learning
Duke University
Skills you'll gain: Rust (Programming Language), Containerization, Data Pipelines, CI/CD, Docker (Software), Jenkins, Application Deployment, DevOps, LLM Application, Continuous Integration, Hugging Face, Large Language Modeling, Test Case, Restful API, Serverless Computing, Generative AI, Command-Line Interface, Natural Language Processing, Computer Programming, Cloud Computing
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Anomaly Detection, Model Evaluation, Dashboard, CI/CD, Data Visualization, DevOps, Continuous Monitoring, Data-Driven Decision-Making, Performance Analysis, Key Performance Indicators (KPIs), Statistical Analysis, Performance Tuning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Automation, Agentic systems, Version Control
