All prices are in Canadian dollars.

Applied Machine Learning in Supply Chain Professional Certificate

Date:   Sep 08, 2021 - Nov 27, 2021
Time:   9:00 AM (MDT)
Location:  

Online Western Canada



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OVERVIEW

The course is carefully scheduled in modules over a 3-month period, in which participants will grow from ML novice to a confident ML practitioner. The purpose overall is to deliver value to your work and your organization.

Module 1: Fundamentals of Machine Learning

This module cuts through the jargon such that key foundational machine learning concepts are understood and form the basis for going deeper in the theory and more importantly practice. Participants start learning by using simple data.

Module 2: Deep Dive into Data Engineering

Real-life is not as simple. This module takes the participants deeper into machine learning so that they become comfortable in using unclean data and various types of machine learning algorithms

Module 3: Deep Learning Natural Language Processing and Computer Vision

This module explores neural networks which make up the backbone of deep learning algorithms. Participants also learn to use text data from documents and emails to model

Module 4: Business Project

Supported by an expert instructor, the participant now applies the learnings on a real business project in their own job. This ensures that the skills effectively result in on-the-job performance. The participant and their workplace see results!

KEY OUTCOMES

By attending this workshop, participants will:

  • Use machine learning to inform supply chain decision making
  • Work with the concept of a data model, to evaluate it, and explain why models fail.
  • Apply algorithm model building knowledge to build forecasting and prediction models. 
  • Classify models - as supervised, unsupervised, or reinforced.
  • Apply data wrangling and pre-processing techniques
  • Classify performance models as regression or classification.
  • Publish and deploy models onto a commercial Machine Learning platform
  • Configure, implement and report on a real use case for your organization.
CPD

10 Credits | 21 Hours of instruction | 50 hours of self-directed learning

COURSE FEES

$2,499.99 Members | $2,799.99 Non-members

Membership will be activated after this course has started.  Corporate rates $2,499.99 per person for 3 or more participants.  Contact:  CEO.AB@supplychaincanada.com

For Alberta residents, this course is eligible for application for funding under the Canada Alberta Job Grant scheme.

 

MODULE TOPICS & DATES

Course Orientation: Sept. 8, 2021 

Module 1: Sept. 11 -Oct. 1, 2021 
Fundamentals of Machine Learning

Module 2: Oct. 2  - 15, 2021
Deep Dive into Data Engineering

Module 3: Oct. 16 - 29, 2021
Deep Learning Natural Language Processing and Computer Vision

Module 4: Oct. 30 - Nov. 27, 2021
Business Project

Project Presentation & Certificate Awards Ceremony -  Nov. 27, 2021

Pre-Requisites

Analytical ability and interest.

No coding expertise or experience is required.

ABOUT THE INSTRUCTOR

Ian Gonzalez

Ian has 16 years in senior positions in Procurement, Engineering and Maintenance, and Corporate Planning departments within oil and gas, and aviation MRO. industries. He has a passion for SCM teaching and does so from the perspective of an experienced SCM professional, engineer, and computer programmer. MBA and BSc Mechanical Engineering.

ADDITIONAL INFORMATION

Refund Policy

 

Registrants will receive a full refund for courses cancelled by Supply Chain Canada, Alberta Institute.

Registrants who have received written acceptance into a course and provided written notice to Supply Chain Canada, Alberta Institute of their withdrawal from the course 14 days prior to the first day of class, will be provided with a full refund. After 14 days, refunds will not be granted.

If you would like to withdraw from a course please send an e-mail to info.ab@supplychaincanada.com. You are required to inform the Alberta Institute of your intent as soon as possible. Clearly state your intention to withdraw and provide authorization for us to proceed. 


Registration/Enrollment

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