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: Google Cloud Platform, MLOps (Machine Learning Operations), Generative AI, Generative AI Agents, Artificial Intelligence and Machine Learning (AI/ML), Prompt Engineering Tools, AI Workflows, Cloud Infrastructure, Agentic Workflows, Big Data, Data Infrastructure, Model Deployment, Natural Language Processing, Prompt Engineering, Model Training, Applied Machine Learning, Machine Learning Methods, Large Language Modeling, Machine Learning
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Training, MLOps (Machine Learning Operations), Software Visualization, Dashboard Creation, Grafana, Code Reusability, Performance Metric, Data Pipelines, Performance Analysis, Collaborative Software
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Google Cloud Platform, Google Gemini, Generative AI, Generative AI Agents, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Generative Model Architectures, Cloud Infrastructure, Applied Machine Learning, Artificial Intelligence, Agentic Workflows, AI Workflows, AI Orchestration, Model Deployment, Agentic systems, Model Training, Prompt Engineering Tools, Machine Learning Methods, Model Evaluation
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Training, Model Evaluation, Machine Learning Software, Workflow Management, Predictive Modeling, Governance Risk Management and Compliance, SAS (Software), Text Mining, R Programming, Performance Analysis, Scheduling
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Deployment, Docker (Software), Containerization, Cloud Deployment, Application Deployment, MLOps (Machine Learning Operations), Hugging Face, Generative AI, Cloud Computing Architecture, Serverless Computing, Cloud Hosting, Cloud Technologies, Cloud Platforms, Security Controls, System Monitoring, Configuration Management, Release Management, Application Security, Infrastructure Security, Large Language Modeling
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Data Infrastructure, Model Training, Data Preprocessing, Model Deployment, Data Storage Technologies, AI Workflows, Data Persistence, Data Pipelines, Software Architecture, File Systems, Capacity Management
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Apache Airflow, CI/CD, MLOps (Machine Learning Operations), Data Pipelines, Google Cloud Platform, Model Deployment, Continuous Deployment, Tensorflow, Metadata Management, Model Training, Model Optimization
Advanced · Course · 1 - 3 Months

Skills you'll gain: Generative AI, Generative AI Agents, Google Cloud Platform, Google Gemini, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Agentic Workflows, Prompt Engineering, Artificial Intelligence, Applied Machine Learning, Model Deployment, Model Training, Machine Learning, Model Evaluation
Beginner · Course · 1 - 3 Months

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

Skills you'll gain: Model Optimization, Model Training, Model Evaluation, Performance Tuning, MLOps (Machine Learning Operations), Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning Methods, Machine Learning Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Solution Architecture, Systems Design, Architectural Drawing, Artificial Intelligence and Machine Learning (AI/ML), Design Specifications, Load Balancing, Distributed Computing, Dataflow, Data Store, Functional Specification, Diagram Design, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

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, Model Optimization, AI Workflows, Model Evaluation, Data Management, Model Training, Generative AI, Generative Model Architectures, Embeddings, API Design
Intermediate · Specialization · 3 - 6 Months