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AI Every Day

Use AI at work with method: understand what an LLM can do, choose your tools, phrase your requests well, protect your data, then turn it into a team practice.

  • 5 courses
  • 10 hr 35 min
  • All levels to Junior

Who it is for

  • Everyone: managers, non-technical teams, product managers starting out with AI.
  • Small business owners and freelancers who want to put AI to work in their business.
  • Teams that want a shared charter before rolling out AI use.

Prerequisites

  • No technical or legal knowledge.
  • A free account on at least one AI assistant (Claude, ChatGPT, Gemini, Mistral or similar); a free plan is enough for the exercises.
  • A few real, recurring tasks from your work in mind.

How the path is built

The path goes from understanding to team use: know what AI does and misses before choosing tools, learn to phrase requests well, set the rules for your data, then turn a successful use into a shared method.

  1. Stage 1

    Understand LLMs

    How a model produces an answer, why it sometimes makes things up, what it knows and what it sees. You finish with a delegate, check, keep grid applied to ten tasks from your work.

    Understand what LLMs do well, and where they fail

  2. Stage 2

    Choose your tools and use them well

    Pick the right tool and way of working for each task, then write requests that give a usable result on the first or second try. You leave with a tested toolkit and prompts tested on your own tasks.

    Choosing and using AI tools at work · Prompting for Product Managers: delegate, describe, verify

  3. Stage 3

    Protect your data

    Classify your information, check what each tool does with your input depending on the plan, apply GDPR basics and know when to disclose AI use. You finish with a team AI charter ready to adopt.

    Use AI at work without exposing your data or your company

  4. Stage 4

    Make it a team method

    Choose which tasks to hand to AI in your business, check the results and turn a successful use into a reusable workflow. You leave with a first deliverable on your real case and your team AI charter.

    Put AI to Work in Your Business

The common thread and the final deliverable

The common thread is your real tasks: the same list is used to decide what to delegate, to test your tools and prompts, then to write your team charter.

Final deliverable: A team that uses AI with method, and its AI charter.

The 5 courses, in order

Each course has its own page: detailed syllabus, prerequisites and deliverable.

  1. Understand what LLMs do well, and where they fail

    All levels2 hr

    Decide, task by task, what to delegate to an LLM, what to verify and what to keep, based on an accurate picture of how it works.

  2. Choosing and using AI tools at work

    All levels1 hr 40 min

    Understand what AI assistants do and their risks, write a clear request, then pick the right tool and mode with a reusable grid.

  3. Prompting for Product Managers: delegate, describe, verify

    Junior2 hr 45 min

    Make AI a reliable tool for your PM deliverables: what to delegate, how to describe, how to verify, then an assistant set up for recurring tasks.

  4. Use AI at work without exposing your data or your company

    All levels2 hr

    Sort your information, configure your tools by plan, protect people and the company, and write your team’s AI policy.

  5. Put AI to Work in Your Business

    All levels2 hr 10 min

    A five-step method to delegate, describe, check and capture, applied to your real case.

What buying the path gives you

  • Access to the courses the path holds on the purchase date; courses added to the path later are not included.
  • Lifetime access: for as long as Module operates, with updates to the content of these courses.
  • A certificate for every course you finish.
  • One payment via Stripe, no subscription, with an invoice.

Details in the terms of sale (sections 5 and 6)

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