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.

Fractal Analytics
Skills you'll gain: Responsible AI, Data Ethics, AI Security, Data Governance, AI Workflows, Data Transformation, Data Integrity, Data Quality, MLOps (Machine Learning Operations), Risk Modeling, Data Validation, Metadata Management, Data Security
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Model Deployment, Cloud Deployment, Amazon Web Services, Applied Machine Learning, Amazon Redshift, Machine Learning Methods, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Model Evaluation, Forecasting, MLOps (Machine Learning Operations), Predictive Analytics, Data Preprocessing, Supervised Learning, Dimensionality Reduction
Beginner · Course · 1 - 3 Months

Amazon Web Services
Skills you'll gain: Applied Machine Learning, Machine Learning, AI Enablement, MLOps (Machine Learning Operations), Technology Roadmaps, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), Business Analytics, Business Solutions, Organizational Strategy, AI Product Strategy, Organizational Change, Product Roadmaps, Feasibility Studies, System Requirements, Solution Design, Training Programs
Beginner · Course · 1 - 4 Weeks

Edureka
Skills you'll gain: AI Security, Responsible AI, Incident Response, Application Security, Security Engineering, Threat Modeling, Cybersecurity, MLOps (Machine Learning Operations), Information Systems Security, Security Strategy, Continuous Monitoring, Identity and Access Management, Cloud Security, Vulnerability Assessments, Threat Detection, Artificial Intelligence, Model Deployment, Machine Learning, Anomaly Detection
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Microsoft Azure, Model Deployment, MLOps (Machine Learning Operations), Cloud Computing, Cloud Deployment, Data Pipelines, Application Deployment, Data Store, Data Management, Virtual Machines, Cloud Infrastructure, Machine Learning Algorithms, Development Environment
Intermediate · Course · 1 - 4 Weeks

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, MLOps (Machine Learning Operations), Data Security, Data Governance, Governance, Artificial Intelligence, Encryption, Public Cloud, General Data Protection Regulation (GDPR)
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, Exploratory Data Analysis, Data Storytelling, Dashboard, Data Presentation, Model Evaluation, Data Literacy, No-Code Development, Business Analytics, Data Science, Business Analysis, Model Deployment, Applied Machine Learning, Data Ethics, Data Capture, MLOps (Machine Learning Operations), Machine Learning, Data Analysis, Predictive Modeling, Data Visualization
Beginner · Specialization · 1 - 3 Months

Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Workflow Management, AI Workflows, Data Preprocessing, Data Pipelines, Applied Machine Learning, Model Evaluation, Machine Learning, Data Management, Performance Tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, AI Workflows, Big Data, Applied Machine Learning, Model Deployment, Cloud API, Model Evaluation, Supervised Learning
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Generative AI, Cloud Deployment, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, MLOps (Machine Learning Operations), AI Workflows, System Monitoring, Feature Engineering, Continuous Monitoring, Applied Machine Learning, Data Preprocessing, Advanced Analytics, Artificial Intelligence, Deep Learning, Data Processing, Machine Learning
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Data Structures, Feature Engineering, MLOps (Machine Learning Operations), Java, Performance Tuning, Data Processing, Applied Machine Learning, System Monitoring, Scalability, Performance Analysis, Performance Testing, Tree Maps, Benchmarking, Graph Theory, Program Implementation
Advanced · Course · 1 - 4 Weeks

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