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: Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Model Training, Tensorflow, Model Evaluation, Systems Architecture, Model Optimization, Data Validation, Distributed Computing, Performance Tuning, Data Pipelines
Advanced · Course · 1 - 3 Months

Skills you'll gain: Data Preprocessing, Data Cleansing, Data Pipelines, Feature Engineering, Data Quality, MLOps (Machine Learning Operations), Extract, Transform, Load, Data Transformation, Data Integration, Dataflow, Development Environment, Data Wrangling, Apache Airflow, Package and Software Management, Git (Version Control System), Quality Assurance, Exploratory Data Analysis, Cost Management, Resource Utilization, Virtual Environment
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Cloud Development, Large Language Modeling, Model Training, AI Integrations, AI Workflows, Cloud Services, Applied Machine Learning, Computer Vision, MLOps (Machine Learning Operations), Artificial Intelligence, Cloud Solutions, LLM Application, Generative AI, Natural Language Processing, Document Management, Data Integration, Application Deployment
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, AWS SageMaker, MLOps (Machine Learning Operations), Image Analysis, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Model Training, Deep Learning, AI Personalization, Cloud Solutions, Artificial Intelligence, Model Evaluation, Applied Machine Learning, AI Integrations, Computer Vision, Machine Learning, Feature Engineering, Text Mining, Data Wrangling
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Optimization, MLOps (Machine Learning Operations), Application Performance Management, System Monitoring, Model Deployment, Continuous Monitoring, AI Integrations, Performance Tuning, Anomaly Detection, Data Mapping, Dependency Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Responsible AI, LLM Application, Large Language Modeling, MLOps (Machine Learning Operations), Multimodal Prompts, Enterprise Application Management, Model Optimization, AI Workflows, Data Management, Generative AI, Generative Model Architectures, Data Strategy, Data Ethics, AI Personalization, Data Governance, Data Preprocessing, Scalability, Data Quality, Performance Tuning
Advanced · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Google Cloud Platform, Google Gemini, MLOps (Machine Learning Operations), Generative AI, Generative AI Agents, Artificial Intelligence and Machine Learning (AI/ML), Cloud Infrastructure, AI Workflows, Artificial Intelligence, Prompt Engineering, Natural Language Processing, Large Language Modeling, Applied Machine Learning, Agentic Workflows, Model Deployment, Model Training, Machine Learning, Model Evaluation
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Optimization, Cloud Computing Architecture, Cloud Management, Model Training, Cloud Infrastructure, Distributed Computing, Data Pipelines, Managed Services, Cost Management, Cost Benefit Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Technical Documentation, Solution Architecture, Model Deployment, Software Documentation, AI Integrations, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Systems Architecture, Systems Development Life Cycle, Cloud Computing Architecture, Data Architecture, Data Integration, Systems Design, Functional Specification, Data Pipelines, Scalability
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Model Training, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Data Preprocessing, Applied Machine Learning, Performance Metric, Machine Learning Algorithms, Regression Analysis, Continuous Monitoring, Statistical Methods
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Training, Model Deployment, MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning Methods, Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Feature Engineering, Statistical Machine Learning, Responsible AI, Regression Analysis, Classification Algorithms, Continuous Monitoring
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Data Preprocessing, MLOps (Machine Learning Operations), Model Evaluation, AI Product Strategy, Product Management, Model Training, Product Lifecycle Management, Machine Learning Algorithms, Model Optimization, Applied Machine Learning, Decision Intelligence, Data Processing, Technical Product Management, Feature Engineering, Project Management, Machine Learning Methods, Machine Learning, Technical Management, Data Transformation
Intermediate · Course · 1 - 3 Months