Machine Learning Operations, Short Course | Part time online | Coursera | United States
6 months
Duration
Free
Free
Unknown
Tuition fee
Anytime
Unknown
Apply date
Anytime
Unknown
Start date

About

Level-up your programming skills with MLOps. This Machine Learning Operations course course is offered by Coursera in partnership with Duke University. 

Visit the Visit programme website for more information

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

Programme Structure

Courses included:

  • Python Essentials for MLOps
  • DevOps, DataOps, MLps
  • MLOps Platforms: Amazon SageMaker and Azure ML
  • MLOps ToolsL MLflow and Hugging Face

Key information

Duration

  • Part-time
    • 6 months
    • 5 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Academic 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.

Tuition Fee

To always see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 6 months.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 6 months.

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