Training: Fundamentals of Artificial Intelligence for Engineers and Technicians
This training offers a practical introduction to the fundamentals of Artificial Intelligence, specifically designed for engineers and technicians. It covers the basics of Machine Learning, focusing on the key mathematical and algorithmic concepts essential to understanding it. Through case studies, participants will discover Machine Learning application scenarios and learn how to select the right tools for their technical projects.
The training also explores the main Machine Learning models—both supervised and unsupervised—as well as the use of PyCaret, an automated Machine Learning tool, including a step-by-step guide for installation and data integration. A dedicated module on Deep Learning introduces neural networks and their applications in engineering contexts.
Finally, engineers and technicians will gain an in-depth understanding of Large Language Models (LLMs), exploring their mechanisms and use cases across various technical projects.
This comprehensive program enables participants to acquire strong technical skills to apply Artificial Intelligence within their specific fields.
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The Fundamentals of Artificial Intelligence for Engineers and Technicians course at a glance
- Length
- 1 day
- Schedule
- 9:00 a.m. to 4:30 p.m.
- Format
- Live virtual class or in person in Montreal and Quebec City
- Audience
- Tous
- Price
- $750 per participant, or $637 for public bodies and non-profits (plus taxes)
- Language
- English
Doussou Formation and Fundamentals of Artificial Intelligence for Engineers and Technicians: key facts
- Since 2016Doussou Formation has been delivering professional training in Quebec
- 300+specialized courses in our catalogue
- 97 %satisfaction according to client evaluations
- RAP · CPMTAccredited supplier and recognized training organization
Upcoming Fundamentals of Artificial Intelligence for Engineers and Technicians sessions
Fundamentals of Artificial Intelligence for Engineers and Technicians course outline
Fundamentals for Understanding Artificial Intelligence
- Introduction to key AI concepts: algorithms, ML, DL, and LLM.
- Exploration of algorithms integrated into ML, DL, and LLM.
- The importance of mastering Machine Learning before tackling Deep Learning and LLMs.
Overview of Main Deep Learning Models
- Introduction to core Deep Learning concepts and neural networks.
- Overview of Deep Learning applications and limitations.
Overview of Main Large Language Models (LLMs)
- How LLMs work and understanding their applications.
- Exploration of the limits and challenges of LLMs.
Introduction to Machine Learning
- Fundamental concepts of Machine Learning.
- Overview of commonly used ML algorithms.
- Why ML is a key step before DL and LLMs.
Machine Learning Models
- Supervised learning: theoretical principles and practical examples.
- Unsupervised learning: methods and use cases.
Using PyCaret for Machine Learning
- Installing and configuring PyCaret.
- Exploring the models available in PyCaret.
- Handling datasets for Machine Learning tasks.
Next Step After This Training
Prices and practical information
Preferred rate
$637 / participant
Public bodies and non-profits · plus taxes
Standard price
$750 / participant
Businesses and individuals · plus taxes
Practical information
- Length: 1 day
- Schedule: 9:00 a.m. to 4:30 p.m.
- Format: Live virtual class or in person in Montreal and Quebec City
- Payment: online (PayPal or card) when registering, or by invoice for organizations
- Funding: Doussou Formation is a training organization accredited by the CPMT. For Quebec employers subject to the Act to promote workforce skills development (payroll over $2M), this course can count toward their 1% training obligation.
Corporate Fundamentals of Artificial Intelligence for Engineers and Technicians training
Train your whole team as a private group, on your own documents, at your premises or in a virtual class, on the dates that suit you.
Participant reviews
97% satisfaction (end-of-course evaluations, 120 evaluations) · Read all testimonials
Why take this Fundamentals of Artificial Intelligence for Engineers and Technicians course
Objectives: what you will be able to do
- Understand the fundamental concepts of Machine Learning and their technical applications.
- Master the use of PyCaret to automate Machine Learning workflows.
- Explore neural network architectures and their role in Deep Learning.
- Acquire practical knowledge of Large Language Models (LLMs) and their technical use cases.
What is included
- Course materials and exercise files for each participant
- Certificate of attendance
- Optional personalized coaching after the course
- In public in-person sessions:
- Tea and coffee
- Lunch at a nearby restaurant
- Parking (in some cities)
- Wi-Fi access