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: Java Programming, Java, Feature Engineering, Deep Learning, Data Pipelines
Skills you'll gain: Model Evaluation, Generative AI, Continuous Monitoring, MLOps (Machine Learning Operations), Model Deployment, Machine Learning Methods, Applied Machine Learning
Skills you'll gain: Model Evaluation, Generative AI, Model Deployment, MLOps (Machine Learning Operations), Google Cloud Platform, Continuous Monitoring, Responsible AI
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Google Cloud Platform, Predictive Modeling, Responsible AI, Data Quality
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Model Deployment, Google Cloud Platform, Predictive Modeling, AI Security
Skills you'll gain: AI Security, Threat Modeling, Security Engineering, Security Testing, Hardening, Security Controls, Security Strategy, Penetration Testing, Data Validation, Model Evaluation, Information Privacy, Generative Adversarial Networks (GANs), Analysis, Design
Skills you'll gain: Generative AI, OpenAI, Data Pipelines, Data Preprocessing, Deep Learning, Scalability, Artificial Intelligence, Model Evaluation, Natural Language Processing, Machine Learning, Data Science
Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, Data Modeling, Feature Engineering, Data Preprocessing, Data Management, Data Storage, Data Quality
Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Large Language Modeling, Data Cleansing, Supervised Learning, Data Transformation, Cloud Deployment, Data Ethics, CI/CD, Machine Learning Algorithms, Transfer Learning, Data Quality, Performance Tuning
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, DevOps, Application Lifecycle Management, Continuous Deployment, Model Evaluation, Applied Machine Learning, Cloud Solutions, Automation, Data Management
Skills you'll gain: Milestones (Project Management), Acceptance Testing, CI/CD, Scope Management, MLOps (Machine Learning Operations), Feature Engineering, Governance Risk Management and Compliance, Capacity Management, Responsible AI, Smart Goals, Project Risk Management, Compliance Management, Stakeholder Communications, Data Governance, Risk Analysis, Model Evaluation, Applied Machine Learning, Project Planning, Risk Management, Mitigation
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Feature Engineering, Data Processing, Cloud Storage, Data Storage, DevOps, Data Modeling, Data Management, Data Security
In summary, here are 10 of our most popular mlops courses
- ML Concepts, Models & Workflow Essentials: Coursera
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Español: Google Cloud
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Bahasa Indonesia: Google Cloud
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Français: Google Cloud
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Deutsch: Google Cloud
- Secure AI Interpret and Protect Models: Coursera
- RAG-Driven Generative AI: Packt
- MLOps with Vertex AI: Manage Features - 日本語版: Google Cloud
- Azure ML Bootcamp: Machine Learning on the Cloud: Packt
- Machine Learning Operations (MLOps): Getting Started - 한국어: Google Cloud
