💻 The world of artificial intelligence opens up vast opportunities, but where should school and university students start when there's simply no time to read thick manuals or complex instructions? Enough with long theory—it's time to get down to business.

🧠 We invite you to a dynamic workshop where you'll immediately grasp how to use neural networks as smart assistants for your daily studies. No confusing terminology—just a fast start and actionable scenarios.

🛠️ You will learn how to properly prompt AI to solve complex questions, generate project ideas, proofread texts, and quickly absorb large amounts of new information.

🎙️ Speaker: Ruslan Svetlichny, CTO at MIRCODE. The expert will explain everything in plain language and show you how to make neural networks your go-to digital sidekicks.

⚡️ Calling all students who want to study smarter, automate the routine, and free up time for exciting projects!

📅 Date: October 27

⏰ Time: 17:00

📍 Venue: Aqmola Hub, Kokshetau, 7 Gagarina St.

About the webinar

AI bots look great in demos but make mistakes with real people. We built a test bench called Poligon, where made-up customers message the bot the way real people do. They send messages in fragments, make typos, and change their minds. We judge the result by what the bot actually recorded in the system, not by what it replied.

What we'll show

- How Poligon works. Code-based checks, a jury of three models from different vendors, and disputed cases.
- Live demo. Our Slack bot for vacation requests passes only 3 of 9 scenarios with a real employee because it loses the conversation context. We'll show how we're fixing it.
- Approaches from our projects. Expert reference answers, tests on real product tasks, and checks against random guessing.

Who it's for
Teams launching or already running AI bots in support, sales, appointment booking, and internal services. Product managers, QA engineers, developers, and founders.

Want to test your own bot? At the end of the webinar, you can discuss a free test with the speaker in exchange for feedback.

Speaker: Vladislav Kovalsky, AI Systems Architect, SpurIT

Format: online, 60–90 minutes.

Date and time: Tuesday, October 27, 7:00 PM Astana time (UTC+5).

На собеседовании уже спрашивают, как вы работаете с AI. А когда агент ошибётся в проде, отвечать всё равно вам. Четыре практика обсудят, чего компании ждут от инженеров и где проходит граница доверия AI.Часть 1 – чего ждут на собеседованиях: что компании пишут в требованиях к инженерам про AI, чем отличаются ожидания стартапа, enterprise и AI-native компании, где хватит показать, как вы пишете код с AI, а где спросят про evals, observability и guardrails.Часть 2 – что нельзя отдавать агенту: где граница делегирования, кто отвечает за решение, если код писал агент, какие навыки инженеру нельзя терять.В конце – вопросы из зала и презентация курсов «AI-Driven Development» (Level 1) и «Продуктовая AI-разработка» (Level 2).Участники:Павел Вейник, Solution Architect – модераторСергей Голубев, Product Manager & AI CreatorИлья Чекун, Tech Lead, AI EngineerНикита Шумилин, Solution Architect, AI EngineerДля кого: разработчики, техлиды и архитекторы, которые готовятся к собеседованиям или проводят их сами, и те, кто решает, что в команде можно отдавать агентам.