ChatGPT introductory training
The OpenAI ChatGPT introductory training gives an overview of six core ways people interact with AI and use it in their work: content creation, research, shaping ideas and strategy, data analysis, coding and automation. We go through all six use cases and show how they help make everyday work more efficient. The trainer adapts the depth of each topic to the group’s experience and needs. Explanations and examples alternate with short hands-on tries and discussions. Participants can try selected tasks, but most of the workbook exercises are left for independent practice, as training time is limited. The six use cases are based on the core components of AI use cases described in OpenAI’s guide “Identifying and scaling AI use cases in organizations” (source).
This 3-academic-hour training does not produce a finished practical result. You become more aware of what AI can do, get to know how it is used and try it out a little, so you can start with more confidence. If you want to complete a specific piece of work during the training, we recommend choosing the 6-academic-hour training.
Course structure
Tap a module to see its contents
- We relate the six use cases to office work.
- We explain the risk of AI mistakes and the limits on using data, and distinguish between work and personal accounts.
- Each participant picks one task from their own work.
- Each participant adds a goal, background information and the desired format of the answer to the task.
- The trainer shows the difference between custom instructions, Memory and Projects, and how to use a regular chat and Work.
- Each participant uses ChatGPT to draft an email or a short work text and makes one substantive revision.
- The trainer shows how to dictate your thoughts by voice and how to use an image as input for a task.
- We distinguish between web search and deep research (Deep Research).
- Each participant asks a search question and checks one claim in the answer against the original source.
- The trainer demonstrates how to launch deep research.
- The trainer shows how to have ChatGPT suggest solutions to a work problem and assess their weak points.
- Participants compare the options and choose one feasible next step.
- The trainer analyses a sample table, explains one formula and formulates a conclusion.
- Participants check one calculation together and assess whether the data supports the conclusion.
- The trainer uses Sites to build an interactive dashboard from sample data and changes it in plain language.
- Participants assess whether the chart is suitable and whether the figures match the source data.
- No code is written by hand.
- The trainer shows the role of a reusable work instruction (Skill), a plugin and a scheduled task.
- Each participant saves their best instruction and picks a recurring activity whose automation they want to explore further.
Personalised and immediately applicable
The greatest strength of the training was personalisation. Every lesson built on our company's real situations and processes, not textbook examples. The balance of theory and practice and the concrete tips helped us quickly adopt new working methods. The training gave us tools that can be applied immediately, not knowledge that ends up in a drawer.
ENN LAMP
Fiskostar OÜ
CEO
Learning outcomes
What you'll be able to do:
give the AI the context it needs and prompt it to ask for the information it needs when you cannot provide it yourself;
recognise the AI features shown in the training and describe their main uses;
name the six AI use cases and relate them to your own work tasks: content creation, research, ideas and strategy, data analysis, coding and automation.
KAIA SALUMETS
NG Investeeringud OÜ
Chief Accountant
Encouraging and practical
We gained the courage to experiment and to see how to make our work easier. A start has been made and I am very grateful for it. I especially liked the practical examples. At the same time, I understand that consolidating skills and deepening knowledge requires a lot more practice.
Good to know
Before the training
Scope of the training
The training gives you the skills to start using AI in your everyday work. The coding part is limited to a simple interactive dashboard example; Codex is not taught separately. Integrating company systems, developing production-ready applications and automating end-to-end processes require separate training or development work.
Duration and format
Three academic hours are 135 minutes of instruction. Breaks are added to this time. The training can be held online or on site; on-site training lets the trainer guide participants’ practice more directly. The training is held in Estonian or English.
Prerequisites
Each participant needs a computer with an internet connection. The required apps and add-ins must be set up before the training. Hands-on participation requires a ChatGPT Business or Enterprise account approved by the organisation, with the features needed for the training enabled. The main exercises take place in ChatGPT. To try out data analysis, OpenAI’s official ChatGPT for Excel add-in must be installed and ready to use in Excel. For practice, we use sample data or materials agreed with the client.
Do you have any questions?
Anna can help with registration, how the training is organised and applying for the Töötukassa training grant.
Training provider contact and details
- Training organiser
- Tehisintellekt OÜ
- Registry code
- 16967299
- Economic activity notice no.
- 259383
- Contact person
- Anna Borovikova
- Phone
- +372 5886 9046
- info@tehisintellekt.ee