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: Large Language Modeling, Generative AI, LLM Application, Generative Model Architectures, Model Deployment, Fine-tuning, Model Optimization, Model Training, Natural Language Processing, Prompt Engineering, Deep Learning, MLOps (Machine Learning Operations), Model Evaluation, Data Cleansing, Machine Learning, Data Quality
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: MLOps (Machine Learning Operations), Large Language Modeling, LLM Application, Jupyter, AI Workflows, Model Training, Software Versioning
Intermediate · Project · Less Than 2 Hours
Skills you'll gain: AI Security, Application Security, Secure Coding, DevSecOps, Security Testing, Threat Modeling, Vulnerability Scanning, Vulnerability Assessments, AI Personalization, Continuous Integration, Open Source Technology, CI/CD, PyTorch (Machine Learning Library), MLOps (Machine Learning Operations), Dependency Analysis, Analysis, Program Implementation, Supply Chain
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Optimization, Cloud Security, Stakeholder Communications, Stakeholder Management, Stakeholder Engagement, Risking, Data Ethics, Data Governance, Data Security, Enterprise Architecture, Dashboard Creation, Generative Model Architectures, Executive Presence, Security Architecture Review, Professional Development, Data Management, Application Deployment, Continuous Deployment, Incident Management, IT Automation
Intermediate · Professional Certificate · 3 - 6 Months

Coursera
Skills you'll gain: Model Deployment, Fine-tuning, PyTorch (Machine Learning Library), Model Evaluation, Model Training, Vision Transformer (ViT), Model Optimization, Transfer Learning, MLOps (Machine Learning Operations), Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), Distributed Computing, Performance Tuning, Tensorflow, Deep Learning, Cloud Computing, Data Pipelines
Advanced · Specialization · 1 - 3 Months

Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Model Optimization, Responsible AI
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Agentic Workflows, AI Orchestration, Generative AI Agents, Model Optimization, Model Training, Data Ethics, Responsible AI, Model Deployment, Agentic systems, Artificial Intelligence, Generative AI, MLOps (Machine Learning Operations), Data Transformation, Model Evaluation, Reinforcement Learning, Code Reusability, Fine-tuning, System Design and Implementation, Python Programming
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Amazon Bedrock, Prompt Engineering, Prompt Engineering Tools, Responsible AI, Prompt Patterns, Generative Model Architectures, AI Security, Generative AI, Generative AI Agents, MLOps (Machine Learning Operations), Multimodal Prompts, AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Artificial Intelligence, Machine Learning Methods, Large Language Modeling, AI Workflows, Retrieval-Augmented Generation, Machine Learning
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Model Optimization, Responsible AI, Risking, Data Ethics, MLOps (Machine Learning Operations), Model Deployment, System Monitoring, Model Evaluation, Compliance Management, Technology Roadmaps, Governance, Operational Analysis, Prompt Engineering, Machine Learning, Risk Management, Generative AI, Data-Driven Decision-Making, Performance Analysis, Statistical Analysis, Cross-Functional Collaboration
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Threat Modeling, Feature Engineering, Anomaly Detection, Data Visualization, Data Presentation, MLOps (Machine Learning Operations), Agentic Workflows, Interactive Data Visualization, AI Orchestration, AI Security, A/B Testing, Generative AI Agents, Threat Management, Model Optimization, Open Web Application Security Project (OWASP), Technical Communication, Agentic systems, Continuous Monitoring, CI/CD, Reinforcement Learning
Intermediate · Professional Certificate · 3 - 6 Months

Microsoft
Skills you'll gain: Generative AI, Generative Model Architectures, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Model Deployment, Model Evaluation, Microsoft Azure, Model Training, PyTorch (Machine Learning Library), Deep Learning, Time Series Analysis and Forecasting, Tensorflow, Image Analysis, Forecasting, Prototyping
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Model Evaluation, MLOps (Machine Learning Operations), Time Series Analysis and Forecasting, Model Training, Google Cloud Platform, Data Preprocessing, Forecasting, Feature Engineering, Cloud Deployment, Data Transformation, Recurrent Neural Networks (RNNs), Model Optimization, Applied Machine Learning, Continuous Monitoring, Deep Learning
Advanced · Course · 1 - 3 Months