Overview
This Machine Learning Operations course course is offered by Coursera in partnership with Duke University.
What you'll learn
Master Python fundamentals, MLOps principles, and data management to build and deploy ML models in production environments.
Utilize Amazon Sagemaker / AWS, Azure, MLflow, and Hugging Face for end-to-end ML solutions, pipeline creation, and API development.
Fine-tune and deploy Large Language Models (LLMs) and containerized models using the ONNX format with Hugging Face.
Design a full MLOps pipeline with MLflow, managing projects, models, and tracking system features.
Skills you'll gain
- Microsoft Azure
- Big Data
- Data Analysis
- Python Programming
- Github
- Machine Learning
- Cloud Computing
- Data Management
- Devops
- Amazon Web Services (Amazon AWS)
- Rust Programming
- MLOps
Get more details
Visit programme websiteProgramme Structure
Courses included:
- Python Essentials for MLOps
- DevOps, DataOps, MLps
- MLOps Platforms: Amazon SageMaker and Azure ML
- MLOps ToolsL MLflow and Hugging Face
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 6 months
- 5 hrs/week
Start dates & application deadlines
Language
Delivered
Disciplines
Artificial Intelligence Machine Learning View 144 other Short Courses in Artificial Intelligence in United StatesExplore more key information
Visit programme websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 6 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 6 months.
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