MLOps Courses
MLOps courses focus on the practices and tools for managing machine learning projects throughout their lifecycle. You can learn about model deployment, monitoring, and version control, along with how to streamline collaboration among teams. Topics often include automation techniques and the integration of machine learning into operational workflows.
Popular MLOps Courses and Certifications
Skills you'll gain: Model Deployment, Application Deployment, Data Preprocessing, Model Optimization
Microsoft
Skills you'll gain: Prompt Engineering, Generative AI, Responsible AI, Generative Model Architectures, Multimodal Prompts, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Azure DevOps Pipelines, AI Orchestration, AI Workflows, Model Deployment, Azure DevOps, ChatGPT, AI Integrations, Microsoft Azure, OpenAI, Fine-tuning, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Python Programming
Skills you'll gain: Prompt Engineering, Generative AI, Model Deployment, Retrieval-Augmented Generation, Prompt Patterns, MLOps (Machine Learning Operations), Prompt Engineering Tools, Azure DevOps Pipelines, OpenAI, Generative AI Agents, AI Orchestration, Continuous Deployment, Fine-tuning, LLM Application, Application Deployment, Embeddings, Data Maintenance, CI/CD, Model Training, Responsible AI
Coursera
Skills you'll gain: Apache Airflow, MLOps (Machine Learning Operations), Fine-tuning, User Acceptance Testing (UAT), Prompt Patterns, LLM Application, AI Security, Extract, Transform, Load, Scripting, Technical Communication, SQL, Model Optimization, Data Pipelines, Data Presentation, Large Language Modeling, Python Programming, Performance Tuning, Root Cause Analysis, Statistical Analysis, Version Control
Board Infinity
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, LLM Application, Application Deployment, Model Training, Cloud Deployment, Continuous Deployment, AI Workflows, Large Language Modeling, AI Security, Prompt Engineering, Retrieval-Augmented Generation, Scalability, CI/CD, Site Reliability Engineering, Model Evaluation, Release Management, Containerization, Continuous Monitoring, Event Monitoring
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Cloud Management, DevOps, Model Training, Application Lifecycle Management, AI Workflows, Applied Machine Learning, Cloud Deployment, Automation, Cloud Platforms
LearnKartS
Skills you'll gain: Prompt Engineering, Responsible AI, Prompt Engineering Tools, Computer Vision, Model Optimization, Generative Model Architectures, Machine Learning Methods, AI Workflows, Machine Learning Algorithms, Applied Machine Learning, Artificial Intelligence, Model Training, Cloud Security, Amazon Elastic Compute Cloud, Risking, AI literacy, Embeddings, MLOps (Machine Learning Operations), Deep Learning, Data Wrangling
Skills you'll gain: API Design, MLOps (Machine Learning Operations), Fine-tuning, OAuth, Model Deployment, Application Programming Interface (API), Technical Communication, Model Training, AI Integrations, Model Evaluation, Vision Transformer (ViT), Model Optimization, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Solution Architecture, Machine Learning, Data Architecture, Machine Learning Algorithms, Data Science
Board Infinity
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, DevOps, CI/CD, Containerization, Application Deployment, Cloud Deployment, Continuous Integration, Continuous Deployment, Docker (Software), Model Training, Model Evaluation, Restful API, Version Control, API Testing, Application Programming Interface (API), GitHub, Automation
Skills you'll gain: Model Evaluation, Generative AI, Continuous Monitoring, Model Optimization, MLOps (Machine Learning Operations), Applied Machine Learning, Responsible AI
Skills you'll gain: MLOps (Machine Learning Operations), AI Orchestration, AI Workflows, Data Pipelines, Model Deployment, Agentic Workflows, Generative AI Agents, Google Cloud Platform, Forecasting, Model Training, Agentic systems, Prompt Engineering, Automation
Pragmatic AI Labs
Skills you'll gain: MLOps (Machine Learning Operations), Databricks, Apache Spark, Model Evaluation, Hugging Face, Data Architecture, Recurrent Neural Networks (RNNs), LLM Application, Data Science, Data Mining, Mathematical Modeling, Scala Programming, Continuous Monitoring, Rust (Programming Language), Lean Six Sigma, Statistical Inference, Artificial Intelligence, Functional Testing, Exploratory Data Analysis, Programming Principles
How to choose the right MLOps course
Start with your goal. If you want to implement MLOps for production machine learning models, look for courses covering model deployment strategies, CI/CD pipelines for ML, and monitoring ML models in production. If you want to use specific tools like Kubeflow or MLflow, choose courses that cover setup, configuration, and best practices for those tools.
