Prompt Engineering Training for Teams
Prompt engineering training teaches staff to write instructions that get reliable results from ChatGPT, Microsoft Copilot or Claude: clear structure, examples, source material and checks. Remolda runs hands-on workshops on your own tasks, quoted after a 30-minute call.
In short
- Two levels: a 3–4 hour workshop for power users, and a one-day track for staff who write system prompts or build assistants.
- Exercises come from your team's own tasks and documents, in the tool you licensed: ChatGPT, Microsoft 365 Copilot or Claude.
- Participants leave with a tested prompt library and a simple way to check output before it is used.
- Data rules are part of every exercise: what may go into which tool, and how to verify figures and citations.
- Priced after a 30-minute call by group size and track; sessions in English or French.
Your situation
Prompt engineering training helps teams that already use AI and want results they can rely on. Typical cases:
- Output quality varies by person. Two colleagues ask the same tool for the same report and get very different drafts.
- Long prompts get copied around. Nobody knows which version works or why.
- Staff build assistants. Custom GPTs, Copilot Studio agents or Claude projects appear without testing.
- Errors reach clients. A figure or citation from AI slipped through unchecked.
What participants learn
| Skill | Workshop (3–4 h) | Builder track (1 day) |
|---|---|---|
| Structured prompts: task, audience, format, constraints | ✓ | ✓ |
| Using source documents and examples | ✓ | ✓ |
| Breaking complex tasks into steps | ✓ | ✓ |
| Checking output: figures, names, citations | ✓ | ✓ |
| Reusable templates and a team prompt library | ✓ | ✓ |
| System prompts for assistants and agents | ✓ | |
| Testing prompts against a set of examples | ✓ | |
| Differences between Copilot, ChatGPT and Claude | ✓ |
The methods follow the vendors' own guidance, such as Anthropic's and OpenAI's prompt engineering documentation, applied to your tasks.
Example exercises
- Finance. Turn an Excel export into variance commentary; verify each number.
- Legal. Summarize a contract against a clause checklist; mark anything uncertain.
- Policy and communications. Draft a bilingual notice from a policy document.
- Operations. Build a template that turns meeting notes into decisions and owners.
- Builders. Write a system prompt for an HR assistant and test it on 20 real questions.
How long it takes
In our experience a single group usually completes training within two to three weeks of the first call, including one week to prepare exercises from your material. Several groups or both tracks take longer. Timing depends on group size, calendars and access to the licensed tool.
What it costs
Prompt engineering training is quoted after a 30-minute call, based on group size, track and format. Licences are paid to the vendor. For a fixed-price start, the AI Readiness Review ($490 CAD + HST) shows where training would help most. All packages are on the pricing page.
Why Remolda for prompt engineering training
- Your own tasks. Every exercise comes from real work.
- Your licensed tool. ChatGPT, Copilot or Claude.
- Checks built in. Every exercise ends with verifying the output.
- A library that stays. Tested prompts saved where the team works.
- English or French. Workshops and libraries in both languages.
How the work runs
Training is the Empower step of the Remolda Cycle (Audit → Strategy → Implement → Empower → Evolve).
- Call. 30 minutes: tool, roles, level.
- Preparation. Exercises built from your material.
- Workshop or builder day. Hands-on.
- Prompt library. Saved and shared.
- 30-day check. What stuck, what to add. Teams with many daily users often continue with an AI champions program; builders can move on to Claude Code training or LLM API integration.
Frequently asked questions
What is prompt engineering?
Prompt engineering is the practice of writing instructions for an AI model so it produces reliable, usable output: stating the task and audience, giving source material and examples, setting the format, and checking results. For builders it also covers system prompts and testing.
How much does prompt engineering training cost?
It is quoted after a 30-minute call, based on group size, track and format. Tool licences are bought from the vendor. Fixed-price strategy and pilot packages are listed on the pricing page.
Who should attend?
The workshop suits staff who already use ChatGPT, Copilot or Claude weekly and want better results. The builder track suits analysts, developers and champions who write system prompts, configure Copilot Studio agents or custom GPTs.
What will participants be able to do afterwards?
Write structured prompts for their recurring tasks, turn them into reusable templates, give the model the right source material, and check output against a short checklist. Builders will also write and test a system prompt against a small set of examples.
Is it vendor-specific?
The methods apply to all major models. Exercises run in the tool your organization licensed, and we note where Copilot, ChatGPT and Claude behave differently, based on each vendor's own guidance.
Is the training available in French?
Yes. Workshops and prompt libraries can be delivered in English, French or both.
How is this different from Copilot or ChatGPT training?
Team training covers everyday use of one tool for all staff. Prompt engineering goes deeper for people who use AI daily or build assistants for others.
Sources
- Anthropic — Prompt engineering overview (Claude docs)
- OpenAI — Prompt engineering guide
- Microsoft Learn — Microsoft 365 Copilot overview
- Office of the Privacy Commissioner of Canada — Principles for responsible, trustworthy and privacy-protective generative AI technologies
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