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.

Google Cloud
Skills you'll gain: Feature Engineering, Model Optimization, Generative AI Agents, Model Deployment, Tensorflow, Google Cloud Platform, Model Training, Keras (Neural Network Library), Machine Learning, Data Preprocessing, Prompt Engineering, Machine Learning Software, MLOps (Machine Learning Operations), Generative AI, Model Evaluation, Cloud Infrastructure, Prompt Engineering Tools, Applied Machine Learning, Data Cleansing, Cloud Computing
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Feature Engineering, Databricks, Data Engineering, PySpark, Data Lakes, Apache Airflow, Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), Data Architecture, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Data Management, Data Storage, Python Programming, Artificial Intelligence, Machine Learning, SQL, Machine Learning Algorithms, Warehouse Management
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Dashboard Creation, Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Data Governance, Apache Hadoop, Dashboard, Apache Kafka, Data Store, Cloud Services, Cloud Deployment, Data Access, Cloud API, Data Architecture, Data Quality, Data Cleansing, Machine Learning Methods
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Supervised Learning, Model Optimization, PyTorch (Machine Learning Library), Fine-tuning, Generative Model Architectures, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Generative AI, Deep Learning, Model Training, Applied Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Autoencoders, Machine Learning Methods, Machine Learning Software, Machine Learning, MLOps (Machine Learning Operations), Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML)
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Feature Engineering, Apache Airflow, Databricks, MLOps (Machine Learning Operations), Data Pipelines, AI Orchestration, Data Lakes, Model Training, Apache Spark, Data Store, AI Workflows, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Data Transformation, Machine Learning, Data Collection, SQL, Data Storage, Machine Learning Algorithms, Warehouse Management
Advanced · Course · 1 - 4 Weeks

Board Infinity
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Real Time Data, Containerization, Docker (Software), CI/CD, Model Training, Applied Machine Learning, Feature Engineering, Model Evaluation, Cloud Deployment, Model Optimization, Predictive Modeling, Web Scraping, Data Pipelines, Time Series Analysis and Forecasting, Exploratory Data Analysis, Spatial Data Analysis, Machine Learning, Continuous Monitoring
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Fine-tuning, PyTorch (Machine Learning Library), AI Security, Application Deployment, AI Workflows, Prompt Engineering, Hugging Face, Artificial Neural Networks, Deep Learning, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Generative Model Architectures, Machine Learning Methods, Generative AI, Computer Vision, Artificial Intelligence, Machine Learning, Data Processing, Machine Learning Algorithms
Intermediate · Specialization · 1 - 3 Months

Duke University
Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Responsible AI, Model Evaluation, Data Ethics, Data Management, Experience Design, Unsupervised Learning, Model Training, Machine Learning Methods, User Experience Design, Classification And Regression Tree (CART), Data Quality, Model Deployment, Human Centered Design, Machine Learning, Project Management, Product Management, Product Design, Data Science
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Model Optimization, Google Cloud Platform, Generative AI Agents, Model Deployment, Tensorflow, Model Training, Dataflow, Big Data, Keras (Neural Network Library), Machine Learning, Data Preprocessing, Prompt Engineering, Machine Learning Software, CI/CD, Generative AI, Model Evaluation, Cloud Infrastructure, Cloud Computing
Intermediate · Professional Certificate · 3 - 6 Months

Google Cloud
Skills you'll gain: Model Optimization, MLOps (Machine Learning Operations), Model Deployment, Model Training, Systems Design, Tensorflow, Hybrid Cloud Computing, Google Cloud Platform, Machine Learning Methods, Performance Tuning, Applied Machine Learning, Machine Learning, Distributed Computing, Dependency Analysis, Data Pipelines
Advanced · Course · 1 - 3 Months

Alberta Machine Intelligence Institute
Skills you'll gain: Supervised Learning, Data Preprocessing, Feature Engineering, Model Optimization, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Model Evaluation, Data Quality, Machine Learning Methods, Classification Algorithms, Model Training, MLOps (Machine Learning Operations), Model Deployment, Jupyter, Statistical Machine Learning, Data Validation, Machine Learning, Project Management
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: AI Orchestration, Verification And Validation, Code Review, Data Validation, Software Documentation, Dependency Analysis
Intermediate · Course · 1 - 3 Months