MLOps Courses
MLOps courses focus on the practices and tools for managing machine learning projects throughout their lifecycle. You can learn about model deployment, monitoring, and version control, along with how to streamline collaboration among teams. Topics often include automation techniques and the integration of machine learning into operational workflows.
Popular MLOps Courses and Certifications
Edureka
Skills you'll gain: LLM Application, Large Language Modeling, Generative AI, Fine-tuning, Hugging Face, MLOps (Machine Learning Operations), Application Deployment, Model Evaluation, Application Performance Management, Containerization, Scalability, Docker (Software)
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, DevOps, Model Evaluation, Cloud Deployment, Continuous Monitoring, Automation
Microsoft
Skills you'll gain: Systems Design, Cloud Computing Architecture, Job Analysis, Solution Architecture, Hybrid Cloud Computing, Cloud Infrastructure, Cloud Computing, Keyword Research, Storytelling, LinkedIn, Interviewing Skills, Technical Communication, Content Optimization, Information Technology, Leadership, Personal Development
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, DevOps, Applied Machine Learning, Model Evaluation, Automation, Continuous Monitoring
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, DevOps, Automation
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Data Store, Data Storage, Data Modeling, Data Management
Skills you'll gain: Generative Model Architectures, Recurrent Neural Networks (RNNs), Fine-tuning, Generative AI, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Vision Transformer (ViT), PyTorch (Machine Learning Library), Artificial Neural Networks, Convolutional Neural Networks, AI Workflows, Hugging Face, Deep Learning, Autoencoders, Transfer Learning, Databricks, Machine Learning, Computer Science, Algorithms, Data Science
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Cloud Deployment, DevOps, Model Evaluation, Automation, Machine Learning
Skills you'll gain: Model Optimization, Model Deployment, Model Training, Cloud Deployment, Fine-tuning
Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Training, Data Preprocessing, Image Analysis, 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
Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Data Store, Model Deployment, Google Cloud Platform, Data Storage Technologies, Data Modeling, Data Storage, Data Management, Data Import/Export
Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Data Store, Data Modeling, Data Management, Cloud Deployment, Data Storage, Data Import/Export
How to choose the right MLOps course
Start with your goal. If you want to implement MLOps for production machine learning models, look for courses covering model deployment strategies, CI/CD pipelines for ML, and monitoring ML models in production. If you want to use specific tools like Kubeflow or MLflow, choose courses that cover setup, configuration, and best practices for those tools.
