MLOps | Machine Learning Operations

Brought by: Coursera

Overview

This comprehensive course series is perfect for individuals with programming knowledge such as software developers, data scientists, and researchers. You'll acquire critical MLOps skills, including the use of Python and Rust, utilizing GitHub Copilot to enhance productivity, and leveraging platforms like Amazon SageMaker, Azure ML, and MLflow. You'll also learn how to fine-tune Large Language Models (LLMs) using Hugging Face and understand the deployment of sustainable and efficient binary embedded models in the ONNX format, setting you up for success in the ever-evolving field of MLOps Through this series, you will begin to learn skills for various career paths: 1. Data Science - Analyze and interpret complex data sets, develop ML models, implement data management, and drive data-driven decision making. 2. Machine Learning Engineering - Design, build, and deploy ML models and systems to solve real-world problems. 3. Cloud ML Solutions Architect - Leverage cloud platforms like AWS and Azure to architect and manage ML solutions in a scalable, cost-effective manner. 4. Artificial Intelligence (AI) Product Management - Bridge the gap between business, engineering, and data science teams to deliver impactful AI/ML products.

Syllabus

Course 1: Python Essentials for MLOps
- Offered by Duke University. Python Essentials for MLOps (Machine Learning Operations) is a course designed to provide learners with the ... Enroll for free.

Course 2: DevOps, DataOps, MLOps
- Offered by Duke University. Learn how to apply Machine Learning Operations (MLOps) to solve real-world problems. The course covers ... Enroll for free.

Course 3: MLOps Platforms: Amazon SageMaker and Azure ML
- Offered by Duke University. InMLOps (Machine Learning Operations) Platforms: Amazon SageMaker and Azure MLyou will learn the necessary ... Enroll for free.

Course 4: MLOps Tools: MLflow and Hugging Face
- Offered by Duke University. This course covers two of the most popular open source platforms for MLOps (Machine Learning Operations): MLflow ... Enroll for free.

Courses

Taught by

Alfredo Deza and Noah Gift

MLOps | Machine Learning Operations
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MLOps | Machine Learning Operations

Brought by: Coursera

  • Coursera
  • Paid
  • English
  • Certificate Available
  • Available at any time
  • advanced
  • N/A