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.

Google Cloud
Skills you'll gain: Data Infrastructure, Model Training, Data Preprocessing, Model Deployment, Data Storage Technologies, Data Processing, Model Optimization, AI Workflows, Data Persistence, Data Pipelines, Data Access, File Systems
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Retrieval-Augmented Generation, Prompt Patterns, Agentic systems, Performance Testing, Prompt Engineering, Generative AI Agents, Generative AI, Agentic Workflows, Performance Tuning, Model Evaluation, Verification And Validation, Large Language Modeling, MLOps (Machine Learning Operations), Embeddings
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Transfer Learning, Model Training, Model Optimization, Image Quality, Computer Vision, Image Analysis, Data Pipelines, Data Transformation, Data Manipulation, Exploratory Data Analysis, Artificial Intelligence and Machine Learning (AI/ML)
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Cloud Deployment, Continuous Deployment, Containerization, Docker (Software), DevOps, Release Management, Version Control, Continuous Delivery, Dependency Analysis, Performance Tuning, Performance Testing, Package and Software Management, Performance Analysis, Performance Metric, Application Performance Management, Application Development, Cost Benefit Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Optimization, Model Deployment, AI Workflows, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Version Control
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Generative AI, Generative AI Agents, Google Cloud Platform, MLOps (Machine Learning Operations), Cloud Infrastructure, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Model Training, Artificial Intelligence, Model Deployment, Machine Learning, No-Code Development, Application Deployment
Beginner · Course · 1 - 3 Months
Skills you'll gain: Data Structures, Feature Engineering, MLOps (Machine Learning Operations), Java Programming, Java, Performance Tuning, Data Processing, Applied Machine Learning, System Monitoring, Scalability, Performance Analysis, Memory Management, Benchmarking, Graph Theory, Program Implementation
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: AWS SageMaker, AWS Kinesis, Amazon Web Services, Amazon Redshift, Cloud Security, MLOps (Machine Learning Operations), Amazon S3, Model Training, AWS Identity and Access Management (IAM), Model Deployment, Real Time Data, Feature Engineering, Cloud Storage, Data Storage, Data Security, Encryption, Key Management
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Google Cloud Platform, CI/CD, MLOps (Machine Learning Operations), Data Pipelines, Tensorflow, Continuous Deployment, Model Deployment, Model Training, Metadata Management, AI Orchestration, PyTorch (Machine Learning Library)
Advanced · Course · 1 - 3 Months

Coursera
Skills you'll gain: LLM Application, Model Evaluation, Large Language Modeling, Retrieval-Augmented Generation, Vector Databases, MLOps (Machine Learning Operations), Performance Tuning, Debugging, Performance Testing, Statistical Methods, Query Languages, SQL, Statistical Hypothesis Testing, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Python Programming
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Model Training, Google Cloud Platform, Data Processing, Document Management, MLOps (Machine Learning Operations)
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Fine-tuning, Model Optimization, Model Deployment, Model Training, PyTorch (Machine Learning Library), Transfer Learning, Performance Tuning, Debugging, MLOps (Machine Learning Operations), Deep Learning, Scalability, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks