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: Systems Architecture, AI Workflows, Process Modeling, Model Based Systems Engineering, System Design and Implementation, Systems Analysis, Enterprise Modeling, Model Training, Diagram Design, Dataflow, MLOps (Machine Learning Operations), Requirements Management
Intermediate · Course · 1 - 4 Weeks

Board Infinity
Skills you'll gain: PyTorch (Machine Learning Library), Fine-tuning, Deep Learning, Vision Transformer (ViT), Transfer Learning, Convolutional Neural Networks, Model Optimization, Model Training, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Distributed Computing, Data Preprocessing, Embeddings, Memory Management
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Responsible AI, LLM Application, Large Language Modeling, MLOps (Machine Learning Operations), Multimodal Prompts, Enterprise Application Management, Application Deployment, Model Optimization, AI Workflows, Data Management, Generative AI, Data Strategy, AI Personalization, Data Governance, Scalability, Data Quality
Advanced · Course · 1 - 3 Months

Skills you'll gain: Responsible AI, Model Deployment, Model Training, Convolutional Neural Networks, Classification Algorithms, Data Analysis, Image Analysis, Data Store, Data Integration, Data Lakes, Model Evaluation, Transfer Learning, Cloud Management, Machine Learning Methods, Machine Learning, Data Processing, Data Preprocessing, Data Pipelines, Data Transformation, Data Manipulation
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Configuration Management, Experimentation, Software Documentation, Software Versioning, Software Configuration Management, Collaborative Software, Testability, Workflow Management, Development Environment
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

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

Google Cloud
Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Cloud Storage, Data Infrastructure, Model Deployment, Data Storage, Model Training, AI Workflows, Performance Tuning, Data Storage Technologies, Data Preprocessing, Data Processing, Infrastructure Architecture, MLOps (Machine Learning Operations), Data Pipelines, File Systems
Intermediate · Course · 1 - 3 Months

Packt
Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Model Deployment, Responsible AI, Large Language Modeling, Fine-tuning, MLOps (Machine Learning Operations), Multimodal Prompts, Prompt Patterns, Enterprise Application Management, Application Deployment, Model Optimization, AI Workflows, Data Management, Model Evaluation, Model Training, Generative AI, Embeddings, API Design
Intermediate · Specialization · 3 - 6 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

Skills you'll gain: Databricks, Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Model Training, Model Evaluation, Feature Engineering, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Testing, AI Workflows, Machine Learning, System Monitoring, Security Controls
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: AI Integrations, Generative Model Architectures, Requirements Analysis, Solution Design, Functional Requirement, Business Requirements, Scalability, Systems Integration
Intermediate · Course · 1 - 4 Weeks