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: PyTorch (Machine Learning Library), Model Evaluation, Model Deployment, MLOps (Machine Learning Operations), AI Workflows, Tensorflow, Dataflow, Performance Tuning, Deep Learning, Data Pipelines, Grafana, Artificial Neural Networks, Data Processing, Resource Utilization, Performance Analysis, Performance Metric, Data Manipulation, Debugging
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Product Requirements, Prompt Engineering, Prompt Patterns, LLM Application, Process Mapping, MLOps (Machine Learning Operations), Operational Efficiency, Large Language Modeling, Model Evaluation, Process Optimization, Workflow Management, Cost Reduction, Cost Management, User Acceptance Testing (UAT), Vector Databases, Standard Operating Procedure, Key Performance Indicators (KPIs), Artificial Intelligence and Machine Learning (AI/ML)
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Dashboard, Data Architecture, Data Governance, Apache Kafka, Cloud Deployment, Apache Hadoop, Metadata Management, Data Storage, Apache Hive, Application Programming Interface (API), Data Quality, Data Cleansing, Applied Machine Learning, Cloud Services
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Model Deployment, Data Preprocessing, MLOps (Machine Learning Operations), Data Cleansing, Microservices, Data Pipelines, Feature Engineering, Data Quality, Data Validation, Containerization, Application Deployment, Service Level, Extract, Transform, Load, Data Transformation, System Monitoring, Applied Machine Learning, Machine Learning Methods, Performance Tuning, Machine Learning Algorithms
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Continuous Deployment, System Monitoring, API Testing, Restful API, Site Reliability Engineering, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Performance Tuning, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning Algorithms
Intermediate · Course · 1 - 4 Weeks

Pragmatic AI Labs
Skills you'll gain: GitHub, Package and Software Management, Okta, Azure Active Directory, Security Assertion Markup Language (SAML), Enterprise Application Management, Single Sign-On (SSO), Git (Version Control System), CI/CD, Authorization (Computing), Role-Based Access Control (RBAC), Enterprise Security, Identity and Access Management, Apache Maven, User Provisioning, MLOps (Machine Learning Operations), Containerization, Security Controls, Security Strategy, Automation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Threat Modeling, Feature Engineering, Anomaly Detection, Data Visualization, 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, Secure Coding, Agentic systems, AI Orchestration, DevSecOps, Continuous Monitoring, CI/CD, Reinforcement Learning
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: Responsible AI, Amazon Bedrock, Generative AI, AWS SageMaker, Large Language Modeling, Amazon Web Services, Machine Learning, Supervised Learning, Model Evaluation, Model Deployment, Artificial Intelligence, MLOps (Machine Learning Operations), Unsupervised Learning, Transfer Learning, Natural Language Processing
Intermediate · Course · 1 - 3 Months

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

Skills you'll gain: Kubernetes, Docker (Software), Containerization, Application Deployment, Devops Tools
Intermediate · Course · 1 - 4 Weeks