1 months
Duration
Free
Free
Unknown
Tuition fee
Unknown
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Apply date
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Start date

About

This Deploying Machine Learning Models offered by Coursera in partnership with UC San Diego is part of the Python Data Products for Predictive Analytics Specialization. 

Visit the official programme website for more information

Overview

In this Deploying Machine Learning Models  offered by Coursera in partnership with UC San Diego we will learn about Recommender Systems (which we will study for the Capstone project), and also look at deployment issues for data products. By the end of this course, you should be able to implement a working recommender system (e.g. to predict ratings, or generate lists of related products), and you should understand the tools and techniques required to deploy such a working system on real-world, large-scale datasets.

This course is the final course in the Python Data Products for Predictive Analytics Specialization, building on the previous three courses (Basic Data Processing and Visualization, Design Thinking and Predictive Analytics for Data Products, and Meaningful Predictive Modeling). At each step in the specialization, you will gain hands-on experience in data manipulation and building your skills, eventually culminating in a capstone project encompassing all the concepts taught in the specialization.

What you will learn

  • Project structure of interactive Python data applications
  • Python web server frameworks: (e.g.) Flask, Django, Dash
  • Best practices around deploying ML models and monitoring performance
  • Deployment scripts, serializing models, APIs

Programme Structure

Courses include:

  • Introduction
  • Implementing Recommender Systems
  • Deploying Recommender Systems
  • Recommender System
  • Capstone

Key information

Duration

  • Part-time
    • 1 months

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 academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Tuition Fee

To alway see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 months.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 months.

Funding

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.

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last 3 months

Check the official programme website for potential updates.

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Deploying Machine Learning Models
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