Results for "ml pipelines and ml operations (mlops)"
Status: Free TrialDuke University
Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Application Deployment, Responsible AI, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis
Status: NewStatus: Free TrialSkills you'll gain: Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Data Processing, Data Cleansing, Supervised Learning, Data Transformation, MLOps (Machine Learning Operations), Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), CI/CD, Statistical Methods, Data Quality, Real Time Data, Resource Management
Status: Free TrialMicrosoft
Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, LLM Application, Responsible AI, Generative AI Agents, Applied Machine Learning, Reinforcement Learning, Data Ethics, Prompt Engineering, Data Processing, Application Deployment
Status: Free TrialDuke University
Skills you'll gain: Pandas (Python Package), MLOps (Machine Learning Operations), NumPy, Data Manipulation, Software Testing, Data Import/Export, Test Automation, Python Programming, Debugging, Data Structures, Machine Learning, Object Oriented Programming (OOP), Scripting, Program Development, Numerical Analysis, Application Programming Interface (API), Command-Line Interface
Status: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Cloud Management, DevOps, Continuous Deployment, CI/CD, Machine Learning, Automation, Data Pipelines, Version Control
Status: Free TrialDuke University
Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Web Frameworks, Rust (Programming Language), Microsoft Copilot, DevOps, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Command-Line Interface, Big Data
What brings you to Coursera today?
Status: NewSkills you'll gain: Data Engineering, Application Deployment, YAML, Virtual Environment
Status: NewStatus: Free TrialSkills you'll gain: Statistical Methods
Status: NewStatus: Free TrialSkills you'll gain: CI/CD, Real Time Data
Status: Free TrialSkills you'll gain: Business Transformation, Innovation, Digital Transformation, Serverless Computing, Cloud Services, Data Ethics, Cloud Infrastructure, Google Cloud Platform, Application Programming Interface (API), Technology Strategies, Hybrid Cloud Computing, Data Strategy, Infrastructure As A Service (IaaS), Responsible AI, Cloud Computing, Cloud Solutions, Public Cloud, Containerization, Cloud-Native Computing, Machine Learning
Status: Free TrialDuke University
Skills you'll gain: Prompt Engineering, Databricks, Large Language Modeling, LLM Application, Generative AI, Performance Analysis, Apache Airflow, Workflow Management, Amazon Bedrock, Data Lakes, ChatGPT, Extract, Transform, Load, OpenAI, Multimodal Prompts, MLOps (Machine Learning Operations), AWS SageMaker, Performance Tuning, Scalability, Database Management Systems, Generative Model Architectures
Status: Free TrialDuke University
Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Containerization, CI/CD, Docker (Software), Microsoft Azure, Cloud Computing, Cloud Applications, Machine Learning Software, GitHub, Application Programming Interface (API)
In summary, here are 10 of our most popular ml pipelines and ml operations (mlops) courses
- MLOps | Machine Learning Operations: Duke University
- Azure ML Bootcamp: Machine Learning on the Cloud: Packt
- Microsoft AI & ML Engineering: Microsoft
- Python Essentials for MLOps: Duke University
- Machine Learning Operations (MLOps): Getting Started: Google Cloud
- DevOps, DataOps, MLOps: Duke University
- DevOps to MLOps Bootcamp– Build & Deploy ML Systems: Packt
- Building, Evaluating, and Operationalizing ML Models: Packt
- Advanced Deployment, MLOps, and Generative AI in Azure: Packt
- Digital Transformation Using AI/ML with Google Cloud: Google Cloud
