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: Fine-tuning, ChatGPT, Generative Model Architectures, Cloud Deployment, Cloud Management, AI Workflows, Semantic Web
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Fine-tuning, Vision Transformer (ViT), Prompt Engineering, PyTorch (Machine Learning Library), Model Deployment, Transfer Learning, Hugging Face, Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Cloud Deployment, Computer Vision, Generative AI, Image Analysis, Generative Model Architectures, LLM Application, Model Training, Application Deployment, Embeddings, Data Preprocessing
Intermediate · Specialization · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Deployment, Containerization, Application Deployment, MLOps (Machine Learning Operations), AI Orchestration, Docker (Software), Cloud Deployment, Kubernetes, Applied Machine Learning, Model Training, Distributed Computing, Cloud Computing, Scalability, Cloud Infrastructure
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Snowflake Schema, Data Preprocessing, Applied Machine Learning, Machine Learning Methods, Model Training, MLOps (Machine Learning Operations), Machine Learning, Predictive Modeling, Data Pipelines, Data Transformation, Data Science, Python Programming, Regression Analysis
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Google Cloud Platform, Unstructured Data, Tensorflow, MLOps (Machine Learning Operations), Model Deployment, Applied Machine Learning, Jupyter, Transfer Learning, Model Training, Data Pipelines, Machine Learning, Artificial Intelligence
Intermediate · Course · 1 - 3 Months

Pragmatic AI Labs
Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Generative AI, Prompt Engineering Tools, Generative AI Agents, LLM Application, OpenAI, Claude Code, Anthropic Claude, Rust (Programming Language), Databricks, Embeddings, MLOps (Machine Learning Operations), Vector Databases, Data Architecture, DevOps, Python Programming, Software Architecture, Scala Programming, Governance
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: AI Product Strategy, AI Personalization, Product Management, Commercialization, Model Training, Technical Product Management, Product Lifecycle Management, Design and Product, Model Deployment, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Product Strategy, User Interface and User Experience (UI/UX) Design, Product Design, Infrastructure Architecture, Responsible AI, AI literacy, Data-Driven Decision-Making, Deep Learning
Beginner · Course · 3 - 6 Months

Skills you'll gain: Responsible AI, AWS Identity and Access Management (IAM), Identity and Access Management, AI Security, Amazon Web Services, Data Ethics, Generative AI, AWS SageMaker, Cloud Security, Risking, AI literacy, MLOps (Machine Learning Operations), Data Security, Role-Based Access Control (RBAC), Data Governance, Governance, Artificial Intelligence, Encryption, Public Cloud
★ 4.7 (7) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Apache Airflow, AI Workflows, MLOps (Machine Learning Operations), Multi-Tenant Cloud Environments, Data Pipelines, Workflow Management, Business Workflow Analysis, Cloud Deployment, Application Deployment, CI/CD, Data Migration, Devops Tools, Cloud Platforms, DevOps, Configuration Management, Python Programming, Scalability, Performance Tuning
Intermediate · Course · 3 - 6 Months

Google Cloud
Skills you'll gain: Model Training, AI Personalization, AI Integrations, Data Integration, Google Cloud Platform, MLOps (Machine Learning Operations), Data Collection, Data Import/Export, Model Deployment, Model Evaluation, Continuous Monitoring, Application Programming Interface (API)
★ 4.3 (6) · Advanced · Course · 1 - 3 Months

Skills you'll gain: Model Training, Applied Machine Learning, Model Optimization, Performance Analysis
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Deployment, Multi-Cloud, Cloud Security, AI Security, MLOps (Machine Learning Operations), DevSecOps, Cloud Management, Security Architecture Review, Microservices, Site Reliability Engineering, Security Controls, CI/CD, System Monitoring, Infrastructure as Code (IaC), Compliance Management, Automation, Kubernetes, Docker (Software), Incident Management, Performance Analysis
Intermediate · Specialization · 3 - 6 Months