Exercise 01
Draft a customer email from verified product facts
Use approved or synthetic material. Compare the output with its sources and record what required correction.
Practical tool training
ChatGPT Training for Business Teams
Productivity, writing, analysis and repeatable business workflows.
In brief
What does ChatGPT training cover?
NMR Infotech’s ChatGPT training helps teams practise drafting, analysis and repeatable workplace prompts. Participants work with permitted examples, check material claims against their sources and define a review step before using the output. Exercises are adapted to the team’s experience and available account features.
- Before the session
- Confirm approved ChatGPT access and the features required for the agreed exercises.
- Learning output
- A reviewed task example and a repeatable prompting and checking method.
Product reference: ChatGPT overview. Confirm current features and account requirements before training.
Understand the tool
What is ChatGPT?
ChatGPT is an AI assistant from OpenAI for tasks such as writing, research, reasoning and working with information.
Tool reference: ChatGPT overview (opens in a new tab). Tool capabilities and access can change; the program is scoped around your current account and approved features.
Choose the audience
Who should use this training?
Employees, managers, sales teams and analysts who need repeatable everyday workflows.
NMR Infotech provides independent training. Product names belong to their respective owners; no vendor certification or partnership is implied.
Your learning path
What does the curriculum include?
- Prompt structure: task, context, constraints and output
- Iterative writing and business communication
- Working with permitted documents and sample data
- Reusable prompts, review criteria and team workflows
Hands-on exercises
Which business use cases will we practice?
Exercise 02
Compare a summary with its source document
Use approved or synthetic material. Compare the output with its sources and record what required correction.
Exercise 03
Inspect a proposed analysis using a synthetic spreadsheet
Use approved or synthetic material. Compare the output with its sources and record what required correction.
Intended learning outcomes
What should participants be able to do?
- Write clearer task instructions with relevant context and constraints
- Apply ChatGPT to the agreed role-specific exercises
- Identify unsupported statements, missing context and uncertain outputs
- Describe when to use approved sources, human review or an alternative workflow
Relevant contexts
Can the training fit our industry?
Exercises can be adapted to your sector and data-handling requirements.
ChatGPT training FAQs
Can this course support non-technical teams?
Yes. Exercises can focus on familiar tasks such as writing, summaries and planning, without requiring coding.
Can the program be customized?
Yes. Audience, tasks, examples, duration and delivery can be agreed around your organization’s needs.
Are tool subscriptions included?
Tool subscriptions are not assumed to be included. Required accounts, features and access are confirmed while planning the program.
Can international teams join online?
Yes. Online sessions can be planned for distributed teams across time zones.
Make the course relevant
How is the ChatGPT program adapted to your team?
The starting point is a task your team needs to complete, not a tour of every feature. Before the program, agree the participant roles, approved tool access and examples that can be used safely. A writing team, an analyst and an engineering team may need different exercises even when they use the same assistant.
A focused session can introduce one workflow. A broader program can include repeated practice, peer review and a capstone task using new inputs. The final duration and materials are agreed after scoping; the curriculum on this page is a starting framework.
- Define what a correct and useful output looks like before writing a prompt.
- Use synthetic, public or explicitly approved material in exercises.
- Record the source, important assumptions and the human review step.
- Repeat the task on a different example to test whether the method transfers.
From practice to repeatable work
How can you evaluate learning after the session?
Ask participants to complete a fresh version of the agreed task and explain their review decisions. Check whether they can find missing information, distinguish source facts from generated suggestions and revise a weak result. A polished first draft is useful only when the team understands what still needs checking.
Potential learning outputs include a reviewed prompt, a task-specific quality checklist and a documented workflow. These are practical learning artifacts, not a vendor certification or a guarantee of business outcomes.
Related resources
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