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: Hugging Face, Large Language Modeling, MLOps (Machine Learning Operations), Generative AI, Artificial Intelligence and Machine Learning (AI/ML), AI Product Strategy, Transfer Learning, Applied Machine Learning, AI Personalization, Model Deployment, Model Evaluation, Responsible AI, Performance Tuning, Model Based Systems Engineering, Program Evaluation, Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Cloud Management, Application Lifecycle Management, DevOps, Model Evaluation, Cloud Deployment, AI Workflows, Continuous Deployment, Continuous Integration, Automation
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Application Deployment, Model Evaluation, Real Time Data, Exploratory Data Analysis, Engineering
Intermediate · Course · 1 - 4 Weeks

Packt
Skills you'll gain: Retrieval-Augmented Generation, Large Language Modeling, Hugging Face, MLOps (Machine Learning Operations), OpenAI, Prompt Engineering, Model Deployment, AWS SageMaker, Extract, Transform, Load, Embeddings, Data Pipelines, CI/CD, Vector Databases, Model Evaluation
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Responsible AI, Microsoft Azure, MLOps (Machine Learning Operations), Data Management, Cloud Management, Cloud Deployment, Applied Machine Learning, Model Evaluation, Scalability, Data Preprocessing, Machine Learning, Performance Tuning, Feature Engineering, Machine Learning Algorithms
Advanced · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Project Management Life Cycle, Data Quality, Model Deployment, Data Preprocessing, Technical Management, Applied Machine Learning, Project Management, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Data Cleansing, Model Evaluation, Market Opportunities, Data Pipelines, Software Development Methodologies, Technology Solutions, Systems Design, Data Collection, Data Science
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Data Management, Data Pipelines, Statistical Modeling
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Anomaly Detection, Model Evaluation, Dashboard, CI/CD, Data Visualization, DevOps, Continuous Monitoring, Data-Driven Decision-Making, Performance Analysis, Key Performance Indicators (KPIs), Statistical Analysis, Performance Tuning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Automation, Agentic systems, Version Control
Intermediate · Specialization · 3 - 6 Months

Microsoft
Skills you'll gain: Generative AI, Generative Model Architectures, MLOps (Machine Learning Operations), Prompt Engineering, Responsible AI, Generative Adversarial Networks (GANs), AI Security, Multimodal Prompts, Data Ethics, AI Workflows, Microsoft Azure, ChatGPT, AI Orchestration, AI Enablement, Model Deployment, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), LLM Application, Application Performance Management, Python Programming
Intermediate · Professional Certificate · 3 - 6 Months

Coursera
Skills you'll gain: Unit Testing, Test Driven Development (TDD), Software Testing, MLOps (Machine Learning Operations), Testability, Version Control, Model Deployment, Maintainability, Performance Tuning, Software Engineering, CI/CD, PyTorch (Machine Learning Library), Tensorflow, Containerization, Kubernetes, Git (Version Control System), Python Programming, Docker (Software), Scikit Learn (Machine Learning Library), Scalability
Intermediate · Specialization · 1 - 3 Months

Coursera
Skills you'll gain: Apache Airflow, MLOps (Machine Learning Operations), User Acceptance Testing (UAT), Prompt Patterns, LLM Application, AI Security, Extract, Transform, Load, Scripting, Technical Communication, SQL, Data Pipelines, PyTorch (Machine Learning Library), Miro AI, Data Presentation, Large Language Modeling, Python Programming, Performance Tuning, Root Cause Analysis, Statistical Analysis, Version Control
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: LLM Application, MLOps (Machine Learning Operations), Large Language Modeling, Data Processing, Model Deployment, AI Workflows, Prompt Engineering, Responsible AI, Generative AI, Scalability, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Data Transformation, Continuous Monitoring, Feature Engineering, Natural Language Processing, Artificial Intelligence, Data Collection
Advanced · Course · 1 - 3 Months