Understand AI principles, use tools responsibly and turn real tasks into more efficient, verifiable and reusable work methods.
Professional training
This training combines theory and practice. Participants learn what AI systems can and cannot do, how to write effective instructions, verify results, protect information and integrate tools into concrete processes. The program is vendor-neutral and demonstrations use tools authorized by the organization.
Objectives, software versions, authorized files and expected results are confirmed before training. The instructor alternates short explanations, demonstrations, guided practice, questions and immediate feedback.
Course plans
Each path can be delivered alone, combined with another or adapted to your files. A mixed-level group can be divided so participants progress at the right pace.
Understand generative AI, its limits and essential workplace rules.
Apply AI to research, documents, meetings, data and repetitive tasks.
Select valuable use cases, manage risks and deploy measurable team methods.
A discussion, questionnaire and a few work examples help us recommend the appropriate duration and modules.
Detailed program
The plan is flexible. Examples, exercises and deliverables are confirmed according to the industry, level and available tools.
Who this path is for: Employees, managers and teams beginning to use AI or establishing shared practices.
Prerequisites: None
Generative AI principles, models, context, plausible errors, bias, sensitive data, intellectual property and human accountability.
Request structure, context, constraints, examples, quality criteria, iteration, verification and a reusable checklist.
Who this path is for: Administrative, sales, marketing, HR, operations, finance and project teams.
Prerequisites: Basic AI principles and access to an authorized tool
Work questions, assisted research, sources, comparison, notes, synthesis and verification.
Outlines, drafts, review, tone, tables, presentations, meeting notes and human control.
Data preparation, exploration, explained formulas or steps, process mapping, prototype and time-saved measurement.
Who this path is for: Managers, IT, compliance, communications, operations and internal AI champions.
Prerequisites: Practical AI experience and involvement of a manager or process owner
Task mapping, value, risk, effort, data, tools and prioritization decisions.
Inputs, instructions, outputs, validation, exceptions, logging, tests and documentation.
Approved tools, prohibited data, transparency, responsibilities, indicators, continued learning and 30/60-day follow-up.
Target skills
Content is organized around the actions, decisions and results participants must produce rather than a simple feature list.
Recognize plausible errors, bias, missing context and cases requiring human expertise.
Classify data and use only authorized content and tools.
Define the objective, context, constraints, format and quality criteria.
Trace sources, test, compare and document uncertainty.
Turn a good one-off answer into a repeatable method with validation.
Evaluate quality, time, adoption, risk and actual organizational value.
Collaborative training
After a short demonstration, participants practise, compare methods and receive immediate feedback. When real files cannot be shared, equivalent exercises reproduce the same constraints without exposing confidential information.
Create a verified research briefFormulate a question, find sources, compare claims and produce a traceable summary.
Turn notes into a documentStructure, draft, revise and adapt a document or presentation with human control.
Prototype a repetitive taskMap inputs, decisions, exceptions, outputs and validation in an administrative process.
Targeted workshops
A workshop can be delivered on its own or integrated into a longer path to address a production, collaboration or governance challenge.
Sensitive data, approved tools, intellectual property, validation and decision protocol.
Sources, evidence, cross-checking, citations, uncertainty and synthesis.
Outlines, drafts, tone, data, accessibility and human review.
Business question, preparation, exploration, visualization, controls and limits.
Mapping, prototype, exceptions, testing, logging and deployment plan.
Use cases, risk, responsibilities, approved tools, metrics and follow-up.
Our solutions
From a single session to an annual program, the format is adapted to your organization’s pace and priorities.
Your team works live with a specialist who explains, demonstrates and answers questions.
We review files, roles, processes and expected results before building the learning path.
JFL Media coordinates several topics, instructors and teams throughout the year.
Service across Canada
Online sessions can bring together participants in Quebec, Ontario, Western Canada, Atlantic Canada or several regions. In-person delivery is assessed according to the city, instructor availability, travel and schedule.
Frequently asked questions
No. Principles transfer across tools. Demonstrations use systems authorized and available in your organization.
Only when the organization authorizes it and the tool, account and process meet its rules. Otherwise, anonymized data is used.
No. It helps select reasonable use cases, build controlled prototypes and define necessary human validation.
The mandate can define baseline time, errors, quality, adoption and a follow-up after training.
No. The training explicitly identifies decisions, controls and responsibilities that remain human.
Let’s discuss your project
Describe the result you need, current level, number of participants, preferred delivery and any authorized files or processes.