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Introduction to Machine Learning and Artificial Intelligence for manufacturing

This course is designed to provide a general introduction for anyone interested in understanding and using machine learning; it covers the core machine learning concepts plus more state-of-the-art approaches, also planning and evaluating a machine learning project, plus outlining the potential pitfalls involved.

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Description

Learner Profile:

Managers who want to learn the language and tools of machine learning.

What will you get:

  • Explain Machine Learning and Data Science.
  • Understand the important Machine Learning methods and tools in the Data Science environment.
  • Justify what sort of models would be appropriate for the machine learning opportunity identified.
  • How to evaluate a machine learning project, plus outlining the pitfalls involved.

Course Modules

Day 1 Pre-Work


AI Basics 1. Introduction to AI, history of AI, private vs. industrial data, AI vs. ML, learning vs. programming, types of AI in production.


AI Basics 2. Neural networks, how to train neural nets, deep learning, real-world applications.


AI Basics 3. Principle of machine learning, supervised / unsupervised learning, reinforcement learning, applications of machine learning in production


Module 01: Understand what ML is and when to use it


  • Introduction to ML
  • ML vs AI
  • ML use cases

Module 02 : What is the workflow of a ML project


  • A typical ML workflow
  • How to ask the right questions
  • Data-centric AI

Module 03 & 04 : Get familiar with a set of specific ML algorithms


  • Regression
  • Classification
  • Common problems
  • Error analysis
  • Decision trees
  • Random forests

Module 05: Understand how Deep Learning works


  • Neural networks
  • Deep learning

Module 06: Q&A


  • Where to go from here
  • Questions and feedback form

Duration/Delivery Mode:

Online Virtual Classroom


12 - 14 hours

Certification

6.5 hours Engineers Ireland Accredited CPD