IBM
AI Workflow: Enterprise Model Deployment
IBM

AI Workflow: Enterprise Model Deployment

This course is part of IBM AI Enterprise Workflow Specialization

Taught in English

Mark J Grover
Ray Lopez, Ph.D.

Instructors: Mark J Grover

3,318 already enrolled

Course

Gain insight into a topic and learn the fundamentals

4.2

(48 reviews)

Advanced level
Designed for those already in the industry
9 hours (approximately)
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

8 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.2

(48 reviews)

Advanced level
Designed for those already in the industry
9 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

Placeholder

Build your subject-matter expertise

This course is part of the IBM AI Enterprise Workflow Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

There are 2 modules in this course

Today data scientists have more tooling than ever before to create model-driven or algorithmic solutions, and it is important to know when to take the time to make code optimizations. This week we spend a lot of time performing hands on activities. We start this week by interacting with Apache Spark then progressing to a tutorial with Docker. We’ll wrap up the week working through a tutorial on Watson Machine Learning.

What's included

3 videos17 readings4 quizzes

This week is primarily focused on deploying models using Spark. The rationale to move to Spark almost always has to do with scale, either at the level of model training or at the level of prediction. Although the resources available to build Spark applications are fewer than those for scikit-learn, Spark gives us the ability to build in an entirely scaleable environment. We will also look at recommendation systems. Most recommender systems today are able to leverage both explicit (e.g. numerical ratings) and implicit (e.g. likes, purchases, skipped, bookmarked) patterns in a ratings matrix. The majority of modern recommender systems embrace either a collaborative filtering or a content-based approach. A number of other approaches and hybrids exist making some implemented systems difficult to categorize. We wrap the week up with our hands-on case study on Model Deployment.

What's included

4 videos11 readings4 quizzes

Instructors

Instructor ratings
4.0 (7 ratings)
Mark J Grover
13 Courses81,878 learners

Offered by

IBM

Recommended if you're interested in Machine Learning

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

Showing 3 of 48

4.2

48 reviews

  • 5 stars

    61.22%

  • 4 stars

    16.32%

  • 3 stars

    10.20%

  • 2 stars

    4.08%

  • 1 star

    8.16%

LD
4

Reviewed on Aug 28, 2020

AA
5

Reviewed on May 29, 2020

MB
5

Reviewed on Apr 11, 2021

New to Machine Learning? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions