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 Deployment, MLOps (Machine Learning Operations), Model Evaluation, Continuous Deployment, Model Training, Tidyverse (R Package), R Programming, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Machine Learning Methods, Dashboard Creation, Docker (Software), Containerization, Application Programming Interface (API)
Intermediate · Guided Project · Less Than 2 Hours

KodeKloud
Skills you'll gain: MLOps (Machine Learning Operations), Apache Kafka, Data Governance, Apache Airflow, Data Architecture, Apache Spark, Real Time Data, Extract, Transform, Load, Data Processing, Data Pipelines, Scalability, DevOps, Distributed Computing, Feature Engineering, CI/CD, Model Training, Pandas (Python Package), Data Transformation, Continuous Integration
Beginner · Course · 1 - 4 Weeks

Pragmatic AI Labs
Skills you'll gain: MLOps (Machine Learning Operations), Databricks, Apache Spark, Model Evaluation, Hugging Face, Data Architecture, Recurrent Neural Networks (RNNs), LLM Application, Data Science, Data Mining, Mathematical Modeling, Scala Programming, Continuous Monitoring, Rust (Programming Language), Lean Six Sigma, Statistical Inference, Artificial Intelligence, Functional Testing, Exploratory Data Analysis, Programming Principles
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Model Training, Java Programming, Java, Feature Engineering, Statistical Machine Learning, Machine Learning Algorithms, Model Optimization, Deep Learning, Data Pipelines
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Model Optimization, Model Training, AI Workflows, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

Technical University of Munich (TUM)
Skills you'll gain: Prompt Engineering, Amazon Bedrock, MLOps (Machine Learning Operations), Product Improvement, Innovation, Solution Design, Model Training, Generative AI, Ideation, Amazon Web Services, Lean Methodologies, Model Evaluation, Process Improvement, Human Centered Design, Product Development, New Product Development, Machine Learning Methods, Machine Learning, User Research, Risk Management
Beginner · Course · 1 - 3 Months

Board Infinity
Skills you'll gain: AWS SageMaker, Serverless Computing, Google Cloud Platform, Cloud Deployment, Model Deployment, AI Integrations, Cloud Platforms, Cloud Computing, Amazon Web Services, Microsoft Azure, Public Cloud, MLOps (Machine Learning Operations), Applied Machine Learning, Enterprise Architecture, Data Pipelines, Amazon S3, Scalability
Intermediate · Course · 1 - 4 Weeks

Beginner · Course · 1 - 4 Weeks

Skills you'll gain: LLM Application, MLOps (Machine Learning Operations), Large Language Modeling, Data Processing, Model Deployment, AI Workflows, Responsible AI, Model Optimization, Generative AI, Scalability, Artificial Intelligence and Machine Learning (AI/ML), System Monitoring, Model Evaluation, Continuous Monitoring, Artificial Intelligence
Advanced · Course · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Data Validation, Model Deployment, Test Driven Development (TDD), Apache Airflow, Data Pipelines, Containerization, Extract, Transform, Load, Kubernetes, Data Infrastructure, Model Training, Data Collection, Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Artificial Intelligence, Artificial Neural Networks, Machine Learning Algorithms, Natural Language Processing, Algorithms
Intermediate · Course · 3 - 6 Months

Pragmatic AI Labs
Skills you'll gain: Amazon Bedrock, MLOps (Machine Learning Operations), Amazon Web Services, AWS SageMaker, AI Workflows, Retrieval-Augmented Generation, Shell Script, IT Automation, Unix Shell, Command-Line Interface, AI Integrations, AI Security, Prototyping, Model Deployment, Large Language Modeling, Generative AI, Data Management
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Model Training, Model Optimization, Model Deployment, Data Preprocessing, AI Workflows, Fine-tuning, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks