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MLOps | Machine Learning Operations Specialization

Become a Machine Learning Engineer. Level-up your programming skills with MLOps

Instructors: Noah Gift +1 more

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

Data Manipulation

Cloud Solutions

Containerization

Pandas (Python Package)

Application Deployment

Data Pipelines

Feature Engineering

Data Import/Export

Software Testing

Microsoft Azure

CI/CD

AWS SageMaker

Specialization - 4 course series

6. Fine-tuning and deploying Large Language Models (LLMs) and containerized models using the ONNX format with Hugging Face. Creating interactive demos to effectively showcase your work and advancements.

DevOps, DataOps, MLOps

MLOps Platforms: Amazon SageMaker and Azure ML

MLOps Tools: MLflow and Hugging Face