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Introduction to Generative AI in the Workplace

Become an Augmented Worker in 4.5 Hours

A Quebec-based training program, in French, designed for local professionals who want to master generative artificial intelligence (AI).

You will discover the fundamentals of generative AI, its practical applications, and its limitations, all illustrated through practical demonstrations of operational assistants. Our tool recommendations and our vision of the future will help you protect your data while quickly improving the quality of your work.

Objectives:

• Demystify how generative AI works and identify relevant uses in daily tasks.

• Master the formulation of clear prompts and develop critical thinking regarding generated results.

• Integrate AI into an ethical and responsible approach.

• Recognize confidentiality and bias issues in order to adopt safe practices that enhance human skills.

• Take action by using AI independently and effectively.

• Leave with concrete tools to immediately integrate AI into your professional daily life.


This training corresponds to our complete introductory program on AI in the professional environment. You can also purchase only the theoretical component or the practical component.


Testimonials:

“This training allowed me to save 5 hours per week on repetitive tasks. The investment paid for itself in less than a month.” — Marie L., Project Manager

“The clear explanations and concrete examples gave me confidence to integrate AI into my professional daily life.” — Jean-François T., Human Resources Advisor

$90.00

Included in Your Training:

• Access to the audiovisual training content (2 full viewings included)

• Downloadable documentation, including the Summary Sheet – Creating Optimal Prompts, the Best Practices Guide for Personalizing Your LLM, and our AI Tools Recommendation Sheet for Professionals

• Certificate of Participation

Section 1 — Basic Concepts of AI

• Generative AI

  - Definition of Generative AI

  - Capabilities of Generative AI

• Terminology

  - Basic Concepts

  - Glossary

• History

Section 2 — Large Language Models (LLMs)

• How an LLM Works

  - Designing an LLM

  - 3 Essential Elements of an LLM: Data

  - 3 Essential Elements of an LLM: Computing Power

  - 3 Essential Elements of an LLM: Algorithms

• The Most Common LLMs

  - ChatGPT by OpenAI

  - Copilot by Microsoft

  - Claude by Anthropic

  - Gemini by Google

  - Le Chat by Mistral

  - DeepSeek by DeepSeek AI

• The Interface of an LLM

Section 3 — Becoming an Augmented Worker

• Workplace Applications

• The 2 Levels of Integration

Section 4 — Demo: Using an Operational Assistant

• ChatGPT: The Interface

  - Access and Connection to Platforms

  - ChatGPT Account and Versions

  - The Dialogue Box

  - Voice Mode and Dictation

• ChatGPT: Media Generation

  - Image Generation

  - Video Generation (Sora)

• ChatGPT: Research

  - Web Search

  - Deep Research

• ChatGPT: Editing and Analysis

  - Editing Mode (Canvas)

  - File Upload and Data Analysis

• ChatGPT: Personalization

  - Personalization and Privacy

  - Folders and Custom GPTs

• Writing Prompts

  - 7-Step Prompt Method

  - 6 Tips for Validating Your Prompts

  - Overview: Advanced Prompting

Section 5 — Limitations of AI

• Reliability and Integrity Challenges

• Legal Issues

  - Risks of Data Leakage

  - Copyright Concepts

  - Regulatory Uncertainty

• Ethical Considerations

Section 5 — Specialized AI Tools

• Our 8 Favorite Tools

• AI Tool Directories

Section 7 — The Future with Generative AI

• The Next Step

• Preparing for an Augmented Future

Instructor(s)
Sébastien Bélisle
MBA
length
4h30
Producer(s)
Miiro