This training course enables participants to understand the principles of artificial intelligence and experiment with its main uses through simple tools, with no programming prerequisites.
Objectives
Learn key AI concepts, discover real-world applications in various industries, and familiarize yourself with the AI project lifecycle as well as generative and no-code AI tools.
Is it for you ?
• Professionals who want to understand AI without technical expertise • Business executives: HR, marketing, finance, healthcare, industry, etc. • Digital, innovation, or data project managers
Prerequisite
No programming prerequisites necessary
Your benefits
Content
Introduction to artificial intelligence
- Definitions, history, types of artificial intelligence (symbolic vs. statistical)
- Evolution of AI
- Concrete examples of AI in different sectors (healthcare, finance, HR, industry, etc.)
The main areas of AI
- Machine learning vs. deep learning
- NLP, computer vision, expert systems
- Comparison of approaches according to use cases
- Exercise
See more + / -
Overview of real-world examples
- AI in healthcare: diagnosis, patient monitoring
- AI in finance: fraud detection, credit scoring
- AI in HR, industry, commerce, logistics
- Exercise
Types of data?
- Structured data, unstructured data, text, images, etc.
- Examples of datasets: customer data, HR data, e-commerce, etc.
- Data quality issues: missing values, duplicates, bias
Main AI algorithms
- Supervised learning: linear regression, decision trees
- Unsupervised learning: clustering with k-means
- Understanding how it works, use cases
- Exercise
AI project lifecycle
- Stages: collection, preparation, modeling, evaluation
- Roles in an AI project (data analyst, data scientist, business, etc.)
- Concepts of overfitting, cross-validation, precision vs. recall
- Exercise: simulation of a mini-project in teams based on a dataset
Ethics, bias, and transparency
- Bias in data, bias in algorithms
- Importance of explainability and human oversight
- Risks of malicious use of AI
- Exercise: analysis of a real-life case of bias in AI
Introduction to generative AI
- How ChatGPT, DALL·E, and Copilot work
- Prompts: how to formulate a request correctly
- Business examples: text summarization, brainstorming, image generation
- Exercise: testing prompts with ChatGPT
Simulated business scenarios
- HR assistant: generating a response to a job application
- Analyzing customer sentiment from a text
- Summarizing a report or email
Overview of AI tools without coding
- No-code/low-code tools: Teachable Machine, RunwayML, Peltarion, MonkeyLearn, GPT for Sheets
- Comparison: features, limitations, pricing
- Exercise: testing a no-code tool to train a model
💡 Useful information
Our training sessions are offered in Montreal or Quebec City, in person or in virtual format. Dates and locations are provided when you select your session below. If you have any questions regarding registration, schedules, the language of instruction, or cancellation policies, please consult our FAQ .
Trainers
Private or personalized training
Do you have several employees interested in the same training course? Whether in person at your offices or remotely in virtual mode, we offer private training courses tailored to your team's needs. Group rates are available. Contact us for more details or request a quote online.
Request a quote