Foundations without fog
A plain explanation of generative AI, ChatGPT, image models, model limitations, hallucinations, and why verification is part of the workflow.
Astana Group AI Training
This session belongs to a very specific moment: early 2024, when AI courses for office workers were teaching a new basic kit: what generative AI is, how to write prompts, how to use ChatGPT or Copilot-style tools for writing and summaries, and how to stay responsible with data and facts. People had seen ChatGPT answer questions, write texts, and produce surprising drafts. Fewer people knew how to turn that into useful work. So the workshop was deliberately hands-on. We did not start with futuristic promises. We started with the mechanics that make the tool useful: context, task, constraints, output format, iteration, and verification. From there the conversation moved into familiar business work: letters, summaries, document explanation, agenda preparation, brainstorming, first drafts, and turning messy thoughts into structure.
2024 Year
Foundations Level
Live workshop Mode
Need
Move from AI curiosity to work habits
The team did not need a heavy technical lecture. They needed a shared starting point: what modern AI is, why ChatGPT can be useful, why it sometimes sounds confident while being wrong, and how a professional should frame the task before expecting a good answer.
- Explain the 2024 AI-learning baseline: generative AI, ChatGPT, DALL-E-style image tools, prompting, productivity workflows, and responsible use without drowning the room in terminology.
- Show why a prompt is not a magic phrase, but a short brief: context, role, task, limits, examples, and expected format.
- Connect AI to familiar business work: email, meeting notes, research, document simplification, first-draft thinking, checklists, and internal communication.
Workshop
A practical AI literacy session for 2024
The program moved in layers. First came the mental model: how generative systems differ from search and classic automation. Then came prompt practice: rewriting vague requests into clear briefs, asking for structure, comparing outputs, and iterating instead of accepting the first answer. The final layer was business translation: where AI saves time today, where it needs human judgment, and what kinds of tasks are worth testing first.
Prompt practice
Live examples of weak and strong prompts: context, task, constraints, audience, tone, source material, and output format.
Business scenarios
Examples for emails, summaries, meeting preparation, document simplification, idea generation, internal instructions, and decision-support drafts.
Content design
Built for the first wave of corporate AI adoption
The design matched the maturity of the market in 2024. The useful frontier was not yet a complex agent stack for every department. It was AI literacy: knowing what to ask, how to refine the answer, how to protect judgment, and how to notice repeatable tasks that might later become automation projects.
Short history of AI and why transformer-based systems changed the user experience for ordinary office work.
ChatGPT as a working interface for text, reasoning drafts, structure, and explanation.
Prompt patterns for business writing: brief, audience, tone, constraints, examples, and expected shape.
Practical 2024-style workflows: rewrite, summarize, draft emails, compare options, prepare agendas, generate checklists, explain documents, and turn notes into action items.
Risk habits: verify facts, keep sensitive data out of public tools, watch for confident errors, and keep the human decision owner visible.
Use-case mapping: separate quick personal productivity wins from future internal integrations.
ChatGPTPrompt designAI literacyBusiness writingKnowledge work
What changed
A shared language
The conversation moved from vague excitement to concrete phrases the team could reuse: prompt, context, constraint, draft, verification, and use case.
Immediate practice
Participants left with usable patterns for writing, summarizing, explaining documents, preparing meetings, and testing ideas with AI.
A cleaner next step
The workshop made it easier to decide what belongs in personal productivity, what needs policy, and what might later deserve proper integration work.
Tell us what you're building
Start with a few detailsWe reply within one business day. Then Azamat joins every first call personally, so you get an honest scope, budget, and fit from the person responsible for delivery.