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.

Packt
Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Model Deployment, Responsible AI, Large Language Modeling, Fine-tuning, MLOps (Machine Learning Operations), Multimodal Prompts, Prompt Patterns, Enterprise Application Management, Model Optimization, AI Workflows, Model Evaluation, Data Management, Model Training, Generative AI, Generative Model Architectures, Embeddings, API Design
Intermediate · Specialization · 3 - 6 Months
Skills you'll gain: API Design, Application Programming Interface (API), Cloud API, AI Security, Cloud Management, Security Controls, Application Performance Management, Load Balancing, Incident Response, MLOps (Machine Learning Operations), GitHub, Python Programming, Machine Learning
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), Continuous Integration, 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 Strategy, Automation
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Model Evaluation, Decision Tree Learning, Classification Algorithms, Model Training, Applied Machine Learning, Java, Java Programming, Model Optimization, Predictive Modeling, Machine Learning Software, Supervised Learning, Technical Communication, Fine-tuning, Tree Maps, MLOps (Machine Learning Operations), Machine Learning Algorithms, Algorithms
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Sample Size Determination, Data Strategy, Sampling (Statistics), Analytical Skills, Data-Driven Decision-Making, Data Analysis, Analytics, Jupyter, Data Science, Statistical Analysis, Data Collection, Data Mining, Data Management, MLOps (Machine Learning Operations), Maintainability, Research and Design, Version Control, Software Documentation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Google Cloud Platform, Generative AI, Generative AI Agents, MLOps (Machine Learning Operations), Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, AI Workflows, Model Training, Agentic Workflows, Agentic systems, Machine Learning, Artificial Intelligence, Model Deployment, Prompt Engineering, Data Preprocessing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Threat Modeling, Data Visualization, Data Presentation, AI Security, Interactive Data Visualization, A/B Testing, Threat Management, Open Web Application Security Project (OWASP), Secure Coding, Application Security, Responsible AI, System Monitoring, MLOps (Machine Learning Operations), Analytics, Data Governance, Application Programming Interface (API), Vulnerability Assessments, Cyber Governance, Data Processing, Data Management
Intermediate · 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: Supervised Learning, Model Optimization, Feature Engineering, Applied Machine Learning, Unsupervised Learning, Model Evaluation, Machine Learning Algorithms, Predictive Modeling, Model Training, Data Preprocessing, Classification Algorithms, Dimensionality Reduction, Data Transformation, Fine-tuning
Advanced · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Training, Model Evaluation, Machine Learning Software, Workflow Management, Predictive Modeling, Governance Risk Management and Compliance, SAS (Software), Text Mining, R Programming, Performance Analysis, Scheduling
Intermediate · Course · 1 - 4 Weeks
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