Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

edX

Machine Learning Operations

Pragmatic AI Labs via edX Professional Certificate

Overview

Coursera Plus Monthly Sale: All Certificates & Courses 40% Off!

This comprehensive program equips you with critical MLOps skills, combining programming knowledge in Python and Rust with the use of GitHub Copilot for productivity enhancement. You'll leverage platforms like Amazon SageMaker, Azure ML, and MLflow while learning to fine-tune Large Language Models (LLMs) using Hugging Face. Additionally, you'll gain expertise in deploying sustainable and efficient binary embedded models in the ONNX format, preparing you for success in the ever-evolving MLOps field. The series covers various career paths, including Data Science, Machine Learning Engineering, Cloud ML Solutions Architecture, and Artificial Intelligence (AI) Product Management.

Syllabus

Courses under this program:
Course 1: Python Fundamentals for MLOps

Master Python for Seamless MLOps: From Fundamentals to Automation and Workflow Efficiency.



Course 2: DevOps, DataOps, MLOps

Streamline AI Operations: Leverage DevOps, DataOps, and MLOps for End-to-End Machine Learning Solutions.



Course 3: MLOps Tools: MLflow and Hugging Face

Enhance your MLOps Journey: Explore MLflow and Hugging Face for Streamlined ML Lifecycle Management.



Course 4: MLOps Platforms: Amazon SageMaker and Azure ML

Elevate Your MLOps Game: Master AWS SageMaker and Azure ML for Production-Ready AI Solutions.



Courses

Taught by

Noah Gift and Alfredo Deza

Reviews

Start your review of Machine Learning Operations

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.