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

  •   Microsoft Azure
  •   CI/CD
  •   Data Import/Export
  •   Data Pipelines
  •   Feature Engineering
  •   Software Testing
  •   AWS SageMaker
  •   Containerization
  •   Exploratory Data Analysis
  •   NumPy
  •   Application Deployment
  •   Data Manipulation
  • 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

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