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.

Coursera
Skills you'll gain: Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning Software, Model Training, Data Preprocessing, Data Processing, Hugging Face, Classification Algorithms
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Model Deployment, Google Cloud Platform, Tensorflow, Cloud Deployment, Data Pipelines, MLOps (Machine Learning Operations), Kubernetes, AI Workflows, Cloud-Based Integration, Machine Learning
Intermediate · Project · Less Than 2 Hours

Khalifa University
Skills you'll gain: Data Strategy, Data Management, Model Deployment, Data Governance, Model Evaluation, Transfer Learning, Data Quality, Model Training, AI Enablement, Decision Intelligence, Data-Driven Decision-Making, Data Literacy, Artificial Intelligence and Machine Learning (AI/ML), Business Leadership, Data Integration, MLOps (Machine Learning Operations), Predictive Modeling, AI Product Strategy, Predictive Analytics, Applied Machine Learning
Beginner · Course · 1 - 3 Months
CertNexus
Skills you'll gain: Applied Machine Learning, Machine Learning, Machine Learning Methods, Data Storytelling, Stakeholder Engagement, Machine Learning Algorithms, Presentations, Data Presentation, Stakeholder Communications, MLOps (Machine Learning Operations), Model Training, Model Optimization, Web Applications, Continuous Deployment, Project Closure, Data-Driven Decision-Making, Data Visualization, Data Science, Data Pipelines, Communication
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, Model Deployment, Feature Engineering, MLOps (Machine Learning Operations), Model Training, Model Evaluation, Data Ethics, PyTorch (Machine Learning Library), Model Optimization, Scikit Learn (Machine Learning Library), Data Preprocessing, Data Pipelines, Deep Learning, Software Documentation, Technical Documentation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Google Cloud Platform, Generative AI, Generative AI Agents, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), AI literacy, Artificial Intelligence, AI Workflows, Cloud Infrastructure, Agentic systems, Applied Machine Learning, Model Training, Model Deployment, Machine Learning, Predictive Modeling, No-Code Development
★ 4.1 (18) · Beginner · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, Applied Machine Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Model Optimization, Model Deployment, Feature Engineering, Product Requirements, Prompt Engineering, Data Ethics, Prompt Patterns, LLM Application, Model Training, Kubernetes, AI Security, Systems Architecture, Large Language Modeling, Model Evaluation, PyTorch (Machine Learning Library), Apache Airflow, Data Pipelines, SQL
Intermediate · Professional Certificate · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: MLOps (Machine Learning Operations), Large Language Modeling, LLM Application, Jupyter, AI Workflows, Model Training, Software Versioning
★ 4.7 (10) · Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Model Deployment, Model Evaluation, MLOps (Machine Learning Operations), Time Series Analysis and Forecasting, Model Training, Google Cloud Platform, Data Preprocessing, Forecasting, Feature Engineering, Cloud Deployment, Data Transformation, Recurrent Neural Networks (RNNs), Model Optimization, Applied Machine Learning, Continuous Monitoring, Deep Learning
Advanced · Course · 1 - 3 Months

Skills you'll gain: Microsoft Azure, Model Deployment, MLOps (Machine Learning Operations), Cloud Computing, Cloud Deployment, Data Pipelines, Data Store, Model Training, Data Management, Cloud Infrastructure, Applied Machine Learning, AI Workflows, Model Evaluation, Machine Learning Algorithms, Configuration Management, Development Environment
★ 4.6 (30) · Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Apache Airflow, Model Optimization, Data Validation, Image Analysis, Transfer Learning, Data Preprocessing, Data Integrity, Model Evaluation, Debugging, Computer Vision, PyTorch (Machine Learning Library), Data Pipelines, Feature Engineering, MLOps (Machine Learning Operations), Tensorflow, Model Training, Embeddings, Performance Tuning, Deep Learning, Digital Signal Processing
Advanced · Specialization · 3 - 6 Months