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.

Board Infinity
Skills you'll gain: Anomaly Detection, Feature Engineering, Fraud detection, Unsupervised Learning, Continuous Monitoring, Autoencoders, MLOps (Machine Learning Operations), Machine Learning Methods, Statistical Machine Learning, Model Training, Time Series Analysis and Forecasting, System Monitoring, Applied Machine Learning, Model Deployment, Statistical Analysis, Taxonomy
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Token Optimization, LangChain, Large Language Modeling, Prompt Patterns, Prompt Engineering, Retrieval-Augmented Generation, Model Optimization, MLOps (Machine Learning Operations), AI Workflows, Application Performance Management, Model Deployment, Embeddings, System Monitoring, Generative AI, Agentic Workflows, AI Enablement, Debugging, Personally Identifiable Information, AI literacy, Semantic Web
Intermediate · Course · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, PyTorch (Machine Learning Library), Responsible AI, Debugging, Model Deployment, Model Training, Model Optimization, Deep Learning, Test Tools, Applied Machine Learning, Testability, Machine Learning Methods, Machine Learning, Data Preprocessing, Verification And Validation, Python Programming, AI Security, Test Driven Development (TDD), AI Enablement
Intermediate · Course · 3 - 6 Months

Board Infinity
Skills you'll gain: Failure Analysis, Applied Machine Learning, Machine Learning, Decision Intelligence, Random Forest Algorithm, Email Automation, No-Code Development, MLOps (Machine Learning Operations), Predictive Modeling, Machine Learning Methods, Predictive Analytics, Automation Engineering, Model Training, Automation, Model Deployment, AI Workflows, Data-Driven Decision-Making, Continuous Monitoring, Estimation, Machine Learning Algorithms
Beginner · Course · 1 - 4 Weeks

British Standards Institution
Skills you'll gain: Model Training, Statistical Methods, Statistical Hypothesis Testing, MLOps (Machine Learning Operations), Performance Testing, Statistical Analysis, Supervised Learning, Machine Learning, Data Validation, Statistical Reporting, Technical Communication, Data Quality, Machine Learning Methods, Performance Analysis, Applied Machine Learning, Data Ethics, Probability & Statistics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence
Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Model Deployment, Extract, Transform, Load, Federated Learning, Model Optimization, Data Pipelines, Image Analysis, Data Import/Export, Tensorflow, Transfer Learning, Convolutional Neural Networks, iOS Development, Apple iOS, Android Development, Data Preprocessing, Model Training, Data Processing, Computer Vision, MLOps (Machine Learning Operations), Javascript, Machine Learning
★ 4.7 (1.5K) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Retrieval-Augmented Generation, Generative AI Agents, Model Deployment, Generative AI, Agentic Workflows, Microsoft Azure, AI Workflows, Model Evaluation, Model Training, Fine-tuning, Microsoft Development Tools, MLOps (Machine Learning Operations), AI Integrations, Large Language Modeling, Model Optimization, Agentic systems
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Agentic Workflows, AI Integrations, Agentic systems, Azure DevOps, Generative AI Agents, Responsible AI, AI Workflows, DevOps, AI Security, Devops Tools, Infrastructure as Code (IaC), Generative AI, AI Orchestration, CI/CD, Risking, Enterprise Architecture, MLOps (Machine Learning Operations), IT Automation, .NET Framework, GitHub
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Model Optimization, MLOps (Machine Learning Operations), Model Deployment, Model Training, Systems Design, Tensorflow, Hybrid Cloud Computing, Google Cloud Platform, Machine Learning Methods, Performance Tuning, Applied Machine Learning, Machine Learning, Distributed Computing, Dependency Analysis, Data Pipelines
★ 4.6 (1K) · Advanced · Course · 1 - 3 Months

Microsoft
Skills you'll gain: AI Security, Responsible AI, General Data Protection Regulation (GDPR), Personally Identifiable Information, Data Governance, Cyber Governance, Information Privacy, Cloud Security, MLOps (Machine Learning Operations), Security Architecture Review, Vulnerability Assessments, Regulatory Compliance, Law, Regulation, and Compliance, Audit Working Papers, Threat Modeling, Record Keeping, Vulnerability Management, AI literacy, Hardening, Security Testing
Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Model Deployment, Federated Learning, Tensorflow, Transfer Learning, Model Training, MLOps (Machine Learning Operations), Model Evaluation, Fine-tuning, Machine Learning, Information Privacy, Embeddings
★ 4.8 (512) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Model Deployment, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Model Training, Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Design Thinking, Market Opportunities, Data Science, Machine Learning, Python Programming
★ 4.4 (386) · Advanced · Specialization · 3 - 6 Months