APPLIED MACHINE LEARNING IN SUPPLY CHAIN PROFESSIONAL CERTIFICATE

 

 

Artificial Intelligence (AI) can be used today to make faster, more accurate and risk-managed supply chain decisions.  

This Applied Machine Learning in Supply Chain Professional Certificate is the first of its kind in Canada. It will give supply chain professionals a clear edge in harnessing the power of AI in everyday SCM practices and decisions. 

We estimate that firms will derive between $1.3trn and $2trn a year in economic value from using AI in supply chains and manufacturing

Program at a Glance

APPLIED MACHINE LEARNING IN SUPPLY CHAIN PROFESSIONAL CERTIFICATE

This course will enable you to be competent and confident in using Machine Learning in your analysis, planning and decision making.

At the end of this course, your team members will be able to build and deploy predictive models for supply chain planning and decisions, for example to rank goods and services, model smart purchasing programs, generate proposal tenders, predict shipments, and prepare budgets that react to market changes

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.

Each module will be a combination of instruction, hands on practice, and expert coaching. By the end you will have earned 10 CPD.

FROM LOOKING BACK TO PREDICTING FORWARD WITH DATA (Information Session)

Date: Thursday, June 10, 2021
Time: SK & AB – 12pm-1pm MDT

REGISTER HERE

Artificial Intelligence can be used today to make faster, more accurate and risk-managed supply chain decisions.

“We estimate that firms will derive between $1.3trn and $2trn a year in economic value from using AI in supply chains and manufacturing” – McKinsey Global

This webinar will cover the following:

  • Why machine learning is critical to improving supply chain practices such as demand planning/forecasting, explain through practical examples
  • What machine learning can be used for to make better decisions e.g. demand forecasting, transport utilization
  • How do you implement machine learning
  • What’s next to become a certified Applied Machine Learning Practitioner in Supply Chain

Experts

  • Dr. Rajbir Bhatti – Associate Professor of Supply Chain Management, Bissett School of Business
  • Amit Varma – CEO, Braintoy 
  • Ian Gonzalez – Senior Analyst, Syncrude; Lead Instructor Supply Chain Canada, Alberta Institute
  • Ron Shivji – Senior Buyer, Altalink 

AML Certificate Program Dates & Location

These classes are virtual via Zoom with the instructor and self-directed course learning during the balance of the week.

PROGRAM ORIENTATION

Date: Wednesday, September 8, 2021         Time: 6:00 pm – 8:00 pm MDT

 

MODULE 1 – FUNDAMENTALS OF MACHINE LEARNING

Date: Saturday, September 11, 2021           Time: 9:00 am – 1:00 pm MDT

 

MODULE 2 – DEEP DIVE INTO DATA ENGINEERING

Date: Saturday, October 2, 2021                 Time: 9:00 am – 1:00 pm MDT

 

MODULE 3 – DEEP LEARNING, NATURAL LANGUAGE PROCESSING, COMPUTER VISION

Date: Saturday, October 16, 2021               Time: 9:00 am – 1:00 pm MDT

 

MODULE 4 – BUSINESS PROJECT

Date: Saturday, October 30, 2021               Time: 9:00 am – 1:00 pm MDT

 

PROJECT PRESENTATION & CERTIFICATE AWARDS CEREMONY

Date: Saturday, November 27, 2021           Time: TBD

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.

This module is completed in 4 hrs in one day followed by an assignment and 1 hour of one-on-one expert-led coaching.

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.

This module is completed in 4 hrs in one day followed by an assignment and 1 hour of one-on-one expert-led coaching.

Module 3

Deep Learning, Natural Language ProcessingComputer 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.

This module is completed in 4 hrs in one day followed by an assignment and 1 hour of one-on-one expert-led coaching.

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!

Participants receive 6 hours of one-on-one expert guidance to successfully complete their business project.

Supply Chain Canada learning
Supply Chain Canada companies

LEARNING OUTCOMES

Participants who complete this course will be able to: 

  • Use machine learning to inform supply chain decision making. 
  • Work with the concept of a data model, apply data wrangling and
    pre-processing techniques to data.
     
  • Use supervised, unsupervised, and reinforced learning techniques. 
  • Apply machine learning algorithms to build forecasting and prediction models. 
  • Evaluate model performance and tune hyperparameters. 
  • Deploy models as a real-time prediction service. 
  • Implement a real-life use case for your organization. 

INSTRUCTORS

We have gathered a roster of outstanding experts to instruct and coach participants through this applied machine learning course. They are:  

Dr. Rajbir Bhatti

Dr. Rajbir Bhatti 

Associate Professor, Bissett School of Business, MRU. Ph.D. (SCM), B.TechM.Tech with 20+ years of research experience in supply chain optimization. Expertise in the application of fuzzy logic techniques to real-world industry problems.

Amit Varma

Amit Varma 

Technology entrepreneur with 20+ years experience in applying technology to construction, energy, banking, and financial services. Masters in Management Science, BSc Management Science.

Kwame Asiedu

Kwame Asiedu 

Data science expert with 15+ years experience in big data mining and analytics, machine learning, pattern recognition, digital signal processing, system design and analysis, biometrics, and IoT. MSc Geomatics Engineering, BSc Computer Science and Psycho

Dr. Padma Paul

Dr. Padma Paul 

20+ years in AI, ML, research, and software development. B.Sc., M.Phil., and Ph.D. in Computer Science. Ranked 7th in all Computer Science PhD Students for research in Computer Science. Ranked 1st in AI and Applied Machine Learning among all universities/labs in Canada.

Dr. Diego Raffa

Dr. Diego Raffa 

Data Scientist with a background in energy, academics, and research. Trained as a chemist, he researched after his Ph.D. in the fields of chemistry and physics. Expertise in the energy industry and the applications of machine learning in supply chain management. 

Jaspreet Gill

Jaspreet Gill 

Data Scientist and Software Engineer with a Master’s in System Software and Post Graduate Diploma in Machine Learning and Artificial Intelligence. Expertise in the application of ML/AI in transportation, oil and gas, and manufacturing industries.

Ian Gonzalez

Ian Gonzalez 

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. 

REGISTER NOW AT
SUPPLY CHAIN CANADA

REGISTER HERE

$2,499.99 + tax | MEMBER RATE

$2,799.99 + tax | NON-MEMBER RATE

  • Prices are per individual and applicable taxes will be added.
  • Membership will be activated after this course has started.
  • Eligible for government funding, see below

FUNDING INFORMATION & GRANTS

This course is eligible for funding under the Canada Job Grant Program.

Applications must be submitted 30 days prior to course start date.
Upon approval, the net cost of the program will be:

$833.33 | Member Rate
$933.33 | Non-Member Rate

Prices are per individual and applicable taxes will be added.

HURRY UP. SPACES ARE LIMITED

  • If you have additional questions or would like more information on membership, please email us.
  • Group pricing is available for 3 or more participants.

WANT TO LEARN MORE?

  • We will be adding more information sessions as we have additional course dates.
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