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: Failure Analysis, Applied Machine Learning, Spatial Data Analysis, Predictive Modeling, Statistical Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Threat Modeling, Feature Engineering, Anomaly Detection, Data Visualization, Data Presentation, MLOps (Machine Learning Operations), Agentic Workflows, AI Security, A/B Testing, Open Web Application Security Project (OWASP), Software Engineering, Data Ethics, Responsible AI, Technical Communication, Security Testing, Security Requirements Analysis, Agentic systems, Continuous Monitoring, CI/CD, Reinforcement Learning
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Generative AI Agents, Model Context Protocol, Retrieval-Augmented Generation, Generative Model Architectures, Model Deployment, Load Balancing, Large Language Modeling, Containerization, Docker (Software), Generative AI, Model Evaluation, Agentic systems, LangChain, Restful API, Cloud Deployment, Data Ethics, Data Validation, API Design, MLOps (Machine Learning Operations), Image Quality
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Supervised Learning, Feature Engineering, Applied Machine Learning, Unsupervised Learning, Model Evaluation, Machine Learning Algorithms, Predictive Modeling, Data Preprocessing, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Performance Tuning
Advanced · Course · 1 - 3 Months

Skills you'll gain: Data Integrity, Verification And Validation, Reconciliation, Debugging, Auditing
Intermediate · Course · 1 - 4 Weeks

Pragmatic AI Labs
Skills you'll gain: Prompt Engineering, MLOps (Machine Learning Operations), Data Pipelines, Databricks, Generative AI, Data Lakes, Generative AI Agents, Data Governance, Data Architecture, AI Enablement, Data Modeling, Data Management, Data Processing, Data Strategy, Data Quality, Scala Programming, SQL, Python Programming, Data Visualization, Data Literacy
Beginner · Specialization · 3 - 6 Months

Pragmatic AI Labs
Skills you'll gain: Hugging Face, Model Deployment, Transfer Learning, MLOps (Machine Learning Operations), Data Processing, Model Evaluation, Image Analysis, Natural Language Processing, Applied Machine Learning, Data Pipelines, Knowledge of Apple Hardware
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Cloud Management, Patch Management, MLOps (Machine Learning Operations), Data Governance, Financial Forecasting, AI Security, Incident Management, Ansible, Operations, Budgeting, Cost Reduction, IT Automation, Data Management, Metadata Management, Site Reliability Engineering, Compliance Management, Cost Management, System Monitoring, Predictive Modeling, Financial Management
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Model Deployment, Feature Engineering, Product Requirements, Prompt Engineering, Data Ethics, Prompt Patterns, LLM Application, Kubernetes, AI Security, Systems Architecture, Large Language Modeling, Software Architecture, Test Automation, Model Evaluation, PyTorch (Machine Learning Library), Apache Airflow, Data Pipelines, SQL
Intermediate · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Predictive Modeling, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Statistical Modeling, Decision Tree Learning, Report Writing
Intermediate · Course · 1 - 4 Weeks

Packt
Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Feature Engineering, Apache Spark, Data Preprocessing, Applied Machine Learning, Data Lakes, AI Workflows, Hugging Face, Data Pipelines, PySpark, Vector Databases, Artificial Intelligence and Machine Learning (AI/ML), Retrieval-Augmented Generation, Data Quality, Machine Learning, Embeddings, Artificial Intelligence, Time Series Analysis and Forecasting
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Version Control, Model Deployment, CI/CD, Git (Version Control System), Continuous Deployment, Performance Tuning, Continuous Integration, Software Development Methodologies, Software Versioning, Release Management, Continuous Delivery, PyTorch (Machine Learning Library), Performance Improvement, Software Testing
Intermediate · Course · 1 - 4 Weeks