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: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Model Deployment, Data Ethics, Scalability
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Large Language Modeling, Artificial Intelligence, AI Workflows, PyTorch (Machine Learning Library), AI Security, MLOps (Machine Learning Operations), Tensorflow, Information Privacy, Model Deployment, Machine Learning, A/B Testing, Version Control, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: AI Workflows, Agentic Workflows, Generative AI Agents, AI Orchestration, Model Deployment, Robotic Process Automation, Automation, AI Enablement, No-Code Development, Prompt Engineering, LLM Application, MLOps (Machine Learning Operations), Process Optimization, System Monitoring, Tool Calling, Performance Analysis, Performance Management
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Deployment, Multi-Cloud, Cloud Security, AI Security, MLOps (Machine Learning Operations), DevSecOps, Cloud Management, Investigation, Microservices, Site Reliability Engineering, Security Controls, CI/CD, System Monitoring, Infrastructure as Code (IaC), Compliance Management, Automation, Kubernetes, Docker (Software), Incident Management, Performance Analysis
Intermediate · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: MLOps (Machine Learning Operations), Large Language Modeling, Jupyter, AI Workflows, Data Store, Version Control, Metadata Management
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Large Language Modeling, Generative AI, Model Deployment, Natural Language Processing, Prompt Engineering, Deep Learning, MLOps (Machine Learning Operations), Cloud Deployment, Model Evaluation, Continuous Monitoring, Data Cleansing, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Evaluation, Data Transformation, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Responsible AI, Google Gemini, Generative AI, Google Cloud Platform, AI Product Strategy, AI Enablement, Cloud Platforms, Artificial Intelligence, No-Code Development, MLOps (Machine Learning Operations), Business Requirements
Beginner · Course · 1 - 3 Months

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

SkillUp
Skills you'll gain: Health Insurance Portability And Accountability Act (HIPAA) Compliance, Clinical Informatics, Clinical Research, Artificial Intelligence, MLOps (Machine Learning Operations), Health Informatics, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Data Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Google Cloud Platform, MLOps (Machine Learning Operations), Big Data, Unstructured Data, Tensorflow, Cloud Deployment, Analytics, Data Pipelines, Data Preprocessing, Cloud API, Jupyter, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Keras (Neural Network Library), Data Preprocessing, Google Cloud Platform, Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, Logistic Regression, Data Pipelines, Data Strategy, Supervised Learning, Model Evaluation, Model Deployment, Machine Learning Algorithms, Performance Tuning, Artificial Neural Networks, MLOps (Machine Learning Operations)
Intermediate · Specialization · 3 - 6 Months