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: Data Preprocessing, Data Cleansing, Data Pipelines, Feature Engineering, Data Quality, MLOps (Machine Learning Operations), Extract, Transform, Load, Data Transformation, Data Integration, Dataflow, Development Environment, Data Wrangling, Apache Airflow, Package and Software Management, Git (Version Control System), Quality Assurance, Exploratory Data Analysis, Cost Management, Resource Utilization, Virtual Environment
Intermediate · Course · 1 - 3 Months

Edge Impulse
Skills you'll gain: Computer Vision, Convolutional Neural Networks, Applied Machine Learning, Embedded Software, Model Training, Machine Learning Methods, Embedded Systems, MLOps (Machine Learning Operations), Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Responsible AI, Data Collection, Predictive Modeling, Artificial Intelligence, Model Optimization, AI literacy, AI Product Strategy, Prototyping, Product Development
Intermediate · Specialization · 1 - 3 Months

Microsoft
Skills you'll gain: MLOps (Machine Learning Operations), AI Product Strategy, Microsoft Azure, Microsoft Copilot, Decision Intelligence, Responsible AI, Business Metrics, Performance Measurement, Model Deployment, Cloud Management, Data Pipelines, AI Orchestration, Data Governance, Performance Metric, AI literacy, AI Workflows, Discussion Facilitation, Governance, Artificial Intelligence, Decision Making
Intermediate · Professional Certificate · 3 - 6 Months

Google Cloud
Skills you'll gain: Model Deployment, Model Optimization, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Large Language Modeling, Reinforcement Learning, Model Training, Transfer Learning, Computer Vision, Keras (Neural Network Library), Systems Design, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Machine Learning
Advanced · Specialization · 3 - 6 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, Performance Tuning, Machine Learning, Distributed Computing, Dependency Analysis, Data Pipelines
Advanced · Course · 1 - 3 Months

Skills you'll gain: Technical Documentation, Solution Architecture, Model Deployment, Software Documentation, AI Integrations, MLOps (Machine Learning Operations), AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Systems Architecture, Systems Development Life Cycle, Cloud Computing Architecture, Software Design Documents, Data Architecture, Data Integration, Systems Design, Functional Specification, Data Pipelines, Scalability
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Vector Databases, Grafana, Containerization, Role-Based Access Control (RBAC), Docker (Software), MLOps (Machine Learning Operations), Application Deployment, AI Security, Enterprise Security, Scalability, Data Access, Authorization (Computing), Dashboard Creation, Encryption, Cryptographic Protocols, Performance Tuning, System Monitoring, Infrastructure Security, Continuous Monitoring
Intermediate · Course · 1 - 4 Weeks

Neal Davis
Skills you'll gain: Prompt Engineering, Responsible AI, Model Evaluation, Generative Model Architectures, Model Deployment, Generative AI, Model Training, MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Data Governance, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), AI literacy, Large Language Modeling, Data Ethics, Taxonomy, Natural Language Processing
Beginner · Course · 1 - 3 Months

Alberta Machine Intelligence Institute
Skills you'll gain: Supervised Learning, Data Preprocessing, Feature Engineering, Model Optimization, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Model Evaluation, Data Quality, Machine Learning Methods, Classification Algorithms, Model Training, MLOps (Machine Learning Operations), Model Deployment, Jupyter, Statistical Machine Learning, Data Validation, Machine Learning, Project Management
Intermediate · Specialization · 3 - 6 Months

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

Skills you'll gain: Model Deployment, AWS SageMaker, Amazon Bedrock, MLOps (Machine Learning Operations), Amazon Web Services, Cloud Deployment, Data Preprocessing, Model Evaluation, Amazon S3, Generative AI, Data Storage, Generative Model Architectures, Data Storage Technologies, Model Training, Feature Engineering, Exploratory Data Analysis, Applied Machine Learning, Machine Learning, Amazon Redshift, Cloud Engineering
Intermediate · Course · 1 - 3 Months

Board Infinity
Skills you'll gain: Model Evaluation, Fine-tuning, Model Optimization, Hugging Face, Model Deployment, Model Training, Transfer Learning, Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Performance Tuning, Generative Model Architectures, Application Deployment, Data Preprocessing, Data Pipelines, Embeddings, Version Control, Git (Version Control System)
Advanced · Course · 1 - 4 Weeks