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
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
Skills you'll gain: Model Deployment, Responsible AI, MLOps (Machine Learning Operations), Fine-tuning, PyTorch (Machine Learning Library), AI Security, Model Training, Containerization, AI Workflows, Model Evaluation, Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Generative AI, Scalability, Large Language Modeling, Machine Learning, LLM Application, Application Programming Interface (API), Data Governance
Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Optimization, AWS Kinesis, Fraud detection, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Operational Data Store, Feature Engineering, Data Store, Data Storage, Data Modeling, Data Management, Data Import/Export
Board Infinity
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Application Deployment, Cloud Deployment, Docker (Software), Containerization, Continuous Deployment, DevOps, API Testing, CI/CD, Kubernetes, Model Evaluation, Test Tools, Applied Machine Learning, Data Validation, Application Programming Interface (API), API Design, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Store, Model Deployment, Data Modeling, Feature Engineering, Data Preprocessing, Data Storage Technologies, Applied Machine Learning, Data Management, Data Quality
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Feature Engineering, Google Cloud Platform, Model Training, AI Workflows, Data Store, Data Processing, Data Modeling, Data Management, Data Quality, Data Storage
Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Cloud Engineering, Google Cloud Platform, Model Deployment, Cloud Applications, Cloud API, Cloud Deployment, Machine Learning, Microsoft Azure, Model Training, AI Workflows, Software Engineering, Computer Vision, Application Programming Interface (API)
Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Data Store, Feature Engineering, Model Deployment, Google Cloud Platform, Data Storage, Data Modeling, Data Management, Data Import/Export, AI Workflows, Continuous Monitoring
Skills you'll gain: LangChain, LLM Application, Hugging Face, Retrieval-Augmented Generation, Prompt Patterns, LangGraph, Model Deployment, AI Workflows, Large Language Modeling, AI Orchestration, Generative AI, Token Optimization, Generative Model Architectures, AI Integrations, Fine-tuning, Embeddings, Data Pipelines, Containerization, Restful API, Docker (Software)
Whizlabs
Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Model Training, Model Deployment, Data Preprocessing, Feature Engineering, Model Evaluation, Responsible AI, Amazon Web Services, Data Wrangling, Model Optimization, Supervised Learning, Data Transformation, Data Processing, Machine Learning Algorithms, Machine Learning Methods, Applied Machine Learning, Cloud Deployment, Apache Airflow, Performance Tuning
