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.

Board Infinity
Skills you'll gain: Model Evaluation, Fine-tuning, Model Optimization, Hugging Face, Model Deployment, Model Training, Transfer Learning, Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Performance Tuning, LLM Application, Generative Model Architectures, Data Preprocessing, Data Pipelines, Version Control, Git (Version Control System)
Advanced · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Training, Model Deployment, Data Preprocessing, Data Management, Data Governance, Data Processing, AI Workflows, Model Optimization, Applied Machine Learning, Google Cloud Platform, Data Pipelines, Model Evaluation, AI Orchestration, Machine Learning, Program Development, Containerization
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Integrity, Verification And Validation, Record Keeping, Reconciliation, Debugging, Auditing
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Incident Response, AI Security, Incident Management, Model Deployment, Site Reliability Engineering, Patch Management, MLOps (Machine Learning Operations), System Monitoring, Problem Management, Computer Security Incident Management, Dependency Analysis, Disaster Recovery, Anomaly Detection, Application Deployment, Automation, Dashboard Creation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Training, Benchmarking, Decision Intelligence, Resource Utilization, Cost Estimation, Resource Consumption Accounting, Memory Management, Run Chart, Analysis, Cost Management
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Risk Management, Risk Analysis, Risk Management Framework, Decision Making, Model Training, Continuous Deployment, Strategic Decision-Making, Operational Analysis, Release Management, Project Planning, Predictive Modeling, A/B Testing, Business Priorities, Algorithms, Experimentation, Applied Machine Learning, Advanced Analytics, Procedure Development, Product Planning, Product Development
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Google Cloud Platform, Model Deployment, Unstructured Data, MLOps (Machine Learning Operations), Big Data, Data Pipelines, Machine Learning Methods, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Cloud Platforms, Jupyter, Machine Learning, Predictive Modeling, Natural Language Processing
Intermediate · Course · 1 - 3 Months

John Wiley & Sons
Skills you'll gain: Data Preprocessing, Model Evaluation, Data Processing, Model Deployment, Data Transformation, MLOps (Machine Learning Operations), Unsupervised Learning, Data Cleansing, Predictive Modeling, Model Training, Data Science, Data Analysis, Applied Machine Learning, Model Optimization, Technical Communication, Supervised Learning, Machine Learning, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Failure Analysis, Applied Machine Learning, Model Training, AI Workflows, Model Optimization, Spatial Data Analysis, Predictive Modeling, Statistical Machine Learning
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Vector Databases, Performance Tuning, Data Migration, Data Infrastructure, Infrastructure Architecture, Data Integrity, Embeddings, Data Import/Export, Data Engineering, Database Management, MLOps (Machine Learning Operations), Scripting, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Key Performance Indicators (KPIs), Business Metrics, Performance Analysis, Apache Airflow, Performance Measurement, Responsible AI, Test Execution Engine, Performance Metric, Test Automation, Verification And Validation, Content Performance Analysis, Statistical Methods, Quality Assessment, Statistical Hypothesis Testing, Gap Analysis, Cost Benefit Analysis, Research Design, Quantitative Research
Intermediate · 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