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.

Skills you'll gain: Large Language Modeling, Generative AI, LLM Application, Generative Model Architectures, Model Deployment, Fine-tuning, Model Optimization, Model Training, Natural Language Processing, Prompt Engineering, Deep Learning, MLOps (Machine Learning Operations), Model Evaluation, Data Cleansing, Machine Learning, Data Quality
★ 4.1 (8) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Optimization, Model Evaluation, Data Transformation, Model Training, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Data Science, IBM Cloud, Python Programming
★ 4.3 (16) · 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

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: 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

Microsoft
Skills you'll gain: Generative AI, Generative Model Architectures, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Model Deployment, Model Evaluation, Microsoft Azure, Model Training, PyTorch (Machine Learning Library), Deep Learning, Time Series Analysis and Forecasting, Tensorflow, Image Analysis, Forecasting, Prototyping
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Generative AI, Generative AI Agents, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Cloud Infrastructure, Model Deployment, Prompt Engineering Tools, Model Training, Artificial Intelligence, Agentic Workflows, Prompt Engineering, Predictive Modeling, Machine Learning, Model Evaluation
★ 4.1 (18) · Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Data Pipelines, Model Evaluation, Systems Design, Transfer Learning, Data Preprocessing, Data Quality, Feature Engineering, Deep Learning, Python Programming, Data Validation, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Software Engineering, Debugging, Supervised Learning, Git (Version Control System), Performance Metric, Statistical Analysis
Intermediate · Specialization · 1 - 3 Months
Skills you'll gain: AI Security, Application Security, Secure Coding, DevSecOps, Security Testing, Threat Modeling, Vulnerability Scanning, Vulnerability Assessments, AI Personalization, Continuous Integration, Open Source Technology, CI/CD, PyTorch (Machine Learning Library), MLOps (Machine Learning Operations), Dependency Analysis, Analysis, Program Implementation, Supply Chain
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Data Science, Machine Learning, Prompt Engineering Tools, Model Evaluation, Applied Machine Learning, Data Store, AI Workflows, Apache Spark, Data Strategy, Data Import/Export, Azure Synapse Analytics, Cloud Computing, Fine-tuning, Data Pipelines, Continuous Monitoring, Data Preprocessing, Scalability, Development Environment
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Large Language Modeling, Artificial Intelligence, AI Workflows, Model Optimization, MLOps (Machine Learning Operations), Information Privacy, Model Deployment, Machine Learning, Natural Language Processing, Version Control, Model Evaluation, Scalability
★ 4.9 (10) · Intermediate · Course · 1 - 4 Weeks

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