Sample 2-Day Operational AI Training Program
A 2 day operational AI training program, 14 hours in total, teaches your teams to produce real work with generative AI: day 1 builds the method and prompt engineering skills, day 2 focuses on automation and business use cases. Every participant leaves with a personal prompt library and at least one working automated workflow, ready to use the next morning.
This breakdown complements our complete guide to AI training for business, which covers funding, Qualiopi certification (the French quality standard for training providers) and the regulatory framework. Here we go through the program sequence by sequence: what participants do at 9:00 am, what they deliver at 5:30 pm, and what separates a program that changes work habits from an extended product demo.
Who is a 2 day operational AI training for?
This format targets teams that already use AI occasionally and want to turn it into a daily production tool. Executive assistants, marketing staff, HR teams, sales reps, administrative managers: any role that writes, analyzes documents, prepares summaries or handles recurring requests is the core audience.
Two profiles are better served by another format. Executives looking for a strategic overview in half a day should consider a dedicated executive session. Teams that have never touched ChatGPT will get more value from a one day awareness program first, then return to the operational format a few weeks later.
Regulation matters too. Since February 2, 2025, Article 4 of EU Regulation 2024/1689 on artificial intelligence requires employers to ensure a sufficient level of AI literacy for staff who use these systems. A documented operational training directly supports that obligation; we cover the exact scope in our article on what Article 4 requires.
Day 1: working method and prompt engineering
The first day installs a repeatable method for getting reliable results, not a catalog of tools. The classic mistake in 2 day programs is stacking demos. The right balance is the opposite: around 70% of the time in workshops, on participants' actual tasks.
| Time | Sequence | What participants do |
|---|---|---|
| 9:00 to 10:30 | Framing and fundamentals | Understand what an LLM is, its limits, hallucinations, and company confidentiality rules |
| 10:45 to 12:30 | Prompting method | Structure a request (role, context, task, format), iterate, compare outputs |
| 2:00 to 3:30 | Job-specific prompt workshop | Build 5 to 10 prompts on real tasks: meeting minutes, emails, document analysis |
| 3:45 to 5:30 | Production and verification | Produce real deliverables, verify outputs, spot errors |
The morning method sequence draws on the fundamentals we develop further in our prompt engineering training. The tools used depend on your environment: ChatGPT, Claude or Copilot, based on the licenses you already have. A program built around a single tool is described in our article on ChatGPT training for business.
Day 2: automation, AI agents and business use cases
The second day turns day 1 prompts into automated workflows that run without manual intervention. That is the major difference with an introductory course: participants stop merely chatting with AI and start connecting it to their existing tools.
The typical schedule:
- 9:00 to 10:30: feedback on prompts tested between the two sessions, fixing the blockers encountered;
- 10:45 to 12:30: no-code automation: connecting AI to email, spreadsheets or the CRM to handle recurring tasks;
- 2:00 to 3:30: introduction to AI agents: what they can actually do today, what is still marketing talk, plus two simple cases built live;
- 3:45 to 5:30: final workshop: each participant builds an automated workflow on a real case from their own job, then writes a 30 day action plan.
One scheduling detail matters more than it seems: leave about a week between the two days. Participants test their prompts in real conditions between sessions, and day 2 starts from their concrete difficulties rather than a theory recap.
What deliverables should you expect after the 2 days?
A participant should leave with tools they can use the next morning, not a slide deck. The deliverables a serious program should produce:
- a personal library of 10 to 20 prompts tested on real tasks;
- at least one working automated workflow: sorting incoming requests, generating meeting minutes, preparing standard replies;
- a simple decision grid to pick the right tool for each type of task;
- an individual 30 day action plan, validated with the trainer;
- an individual certificate stating the program, duration and targeted skills, useful for compliance documentation; the expected content is detailed in our article on the AI training certificate.
One day or two days: how to choose?
One day is enough to understand and experiment; it takes two days to durably change how people work.
| Criterion | Awareness (1 day) | Operational (2 days) |
|---|---|---|
| Goal | Understand, demystify, try out | Produce, automate, embed |
| Audience | All staff, first contact | Occasional to regular users |
| Hands-on share | About 50% of the time | About 70% of the time |
| Deliverables | First prompts, shared references | Prompt library, automated workflow, action plan |
| Next step | Operational format | Project support or internal AI champion |
The one day awareness program remains the right entry point for a first collective exposure. To weigh the options for your teams, our analysis of AI training duration compares formats from 3.5 hours to 5 days. The 2 day format works on site or remotely, as two sets of two half days; the trade-offs are covered in our in-person vs remote comparison.
How much does a 2 day training cost and how can it be funded?
For in-company delivery in France, expect 1,200 to 2,500 euros (excl. VAT) per training day, so 2,400 to 5,000 euros for the full format. For a group of 8, that comes to 300 to 625 euros per participant, licenses not included. These ranges reflect current French market rates; our article on AI training costs breaks down the differences by format, level and region.
Funding changes the equation. If the provider is Qualiopi certified, your OPCO (the French skills funding body for your industry) can cover part or all of the training cost, depending on your sector and company size. The process, timelines and required documents are described in our guide to OPCO funding for AI training.
How do you measure results after the training?
Set three indicators before the training and measure them at 30 and 90 days; without that, nobody will know whether the 2 days paid off. Three simple indicators are enough:
- production time for a target task (meeting minutes, a tender response) before and after the training;
- the number of weekly active users of AI tools in the trained team;
- the number of automated workflows actually in production at 90 days.
A simple way to sustain momentum: appoint an internal AI champion among the most motivated participants. They centralize questions, keep the prompt library up to date and surface new use cases.
Frequently asked questions
What level do you need to join an operational AI training?
Being comfortable with office tools and a web browser is enough. Having already tried ChatGPT or an equivalent helps you start faster, but a positioning questionnaire sent before the session lets the trainer adjust the pace.
Do participants need paid licenses?
Not necessarily for the training itself: free versions are fine for discovery workshops. For regular professional use with internal data, however, a business plan, which by default excludes your data from model training, quickly becomes necessary.
Do the two days have to be consecutive?
No, and we recommend the opposite: one week between the two sessions. Participants test in real conditions, and day 2 addresses their actual blockers.
Can the program be adapted to our industry?
Yes, and it is the condition for lasting results. Workshops run on your documents and your real cases, shared in advance. A generic program produces convinced participants but little actual change.
Does this training meet the EU AI Act obligation?
It directly supports it for employees who use AI. Article 4 of Regulation 2024/1689 requires a level of AI literacy suited to the context of use: a documented 2 day program, with a detailed syllabus, attendance records and certificates, is solid evidence of a compliance effort.
How many participants per session?
From 4 to 10. Below that, the workshop dynamic weakens; above it, the trainer can no longer support each participant in building their automated workflow.
Is the training eligible for funding?
Yes, as long as the provider is Qualiopi certified: OPCO coverage applies to companies and nonprofits alike, with terms that vary by industry body.
How GrowthPerf supports your teams
GrowthPerf is a Qualiopi certified training provider specialized in AI, no-code and automation for SMEs and nonprofits. We run this 2 day format on site in the Paris region or remotely, always built on your real cases: positioning questionnaire beforehand, workshops on your documents, 30 day follow-up included.
The full program, upcoming dates and funding options are available on our operational AI training page. To place this format within a broader approach, from funding to compliance, our complete guide to AI training for business is the best starting point.
Book your session: a 30 minute call is enough to check that the format fits your teams and leave with a tailored program proposal.