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 Optimization, Model Training, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Computational Thinking, Systems Design, Software Architecture, Data Processing, Process Modeling, Code Reusability, Solution Design, Diagram Design, Process Mapping, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Optimization, Miro AI, Process Optimization, Lean Manufacturing, Collaborative Software, Process Improvement and Optimization, Productivity Software, Process Modeling, LLM Application, Process Analysis, Operating Cost, Business Workflow Analysis, AI Workflows, Cost Management, Waste Minimization, Data-Driven Decision-Making, Proposal Development
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Performance Metric, Performance Measurement, Failure Analysis
Intermediate · Course · 1 - 4 Weeks

Packt
Skills you'll gain: Generative AI, OpenAI, AI Workflows, Data Pipelines, Semantic Web, Deep Learning, Scalability, Artificial Intelligence, Natural Language Processing, Machine Learning, Data Science
Advanced · Course · 1 - 3 Months

Skills you'll gain: Responsible AI, Generative AI Agents, Agentic Workflows, AI Workflows, Agentic systems, Business Process Automation, Real Time Data, MLOps (Machine Learning Operations), AI Personalization, IT Automation, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, No-Code Development, Cloud-Based Integration, Business Transformation, Cloud API, Python Programming, Data Analysis, Restful API, API Design
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: AI Security, Threat Modeling, Security Engineering, Security Testing, IT Security Architecture, Security Architecture Review, Hardening, Continuous Monitoring, Security Controls, Security Requirements Analysis, Security Strategy, Model Training, Vulnerability Assessments, Data Integrity, Data Validation, Model Evaluation, Information Privacy, Generative Adversarial Networks (GANs), Analysis, Design
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Optimization, Model Deployment, Model Training, AI Security, Benchmarking, Numerical Analysis, Process Optimization, Cloud Deployment, Model Evaluation, Keras (Neural Network Library), Network Model, Project Performance
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Optimization, Responsible AI, Data Ethics, Model Training, Model Deployment, Technical Design, Prompt Engineering, AI Security, Artificial Intelligence and Machine Learning (AI/ML), Technical Communication, Communication, AI Workflows, MLOps (Machine Learning Operations), LLM Application, Apache Airflow, System Design and Implementation, Python Programming, CI/CD, SQL, AWS CloudFormation
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Fine-tuning, Hugging Face, LLM Application, Model Optimization, Large Language Modeling, MLOps (Machine Learning Operations), Generative AI, AI Product Strategy, Transfer Learning, Model Training, Applied Machine Learning, AI Personalization, Model Evaluation, Performance Tuning, Model Based Systems Engineering, Memory Management, Program Evaluation, Analysis, Probability Distribution
Intermediate · Course · 1 - 4 Weeks

Pragmatic AI Labs
Skills you'll gain: Google Cloud Platform, Data Pipelines, Rust (Programming Language), Google App Engine, Containerization, Cloud-Based Integration, Data Engineering, Cloud API, Cloud Engineering, Cloud Management, Multi-Cloud, Cloud Infrastructure, DevOps, Serverless Computing, MLOps (Machine Learning Operations), Cloud Services, Cloud Platforms, Cloud Storage, Cloud Security, Cloud Computing Architecture
Beginner · Course · 1 - 3 Months

Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Large Language Modeling, Retrieval-Augmented Generation, LLM Application, Data Analysis, Applied Machine Learning, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Model Training, Fine-tuning, Model Deployment, Generative AI, Text Mining, Prompt Engineering, Deep Learning, Random Forest Algorithm, Machine Learning, MLOps (Machine Learning Operations)
Intermediate · Course · 3 - 6 Months