The Generative AI Projects Lifecycle: From Ideation to Production

Ever wondered how a business idea becomes a production-ready GenAI-powered solution that delivers real value?

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We are excited to invite you to our upcoming event, celebrating and supporting women in tech and those interested in joining tech. This gathering offers a chance to connect, share experiences, and foster a supportive community.

Please note: The Mimmit koodaa program and this event are for women to create a safer environment. Read about positive action in Finland »

If you have any questions, feel free to contact us at info@mimmitkoodaa.fi.

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The Generative AI Projects Lifecycle: From Ideation to Production

6.3.2026 12:00-13:00

Level: Beginner

Event type: Webinar

Location: Zoom

Language: English

About our events

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Ever wondered how a business idea becomes a production-ready GenAI-powered solution that delivers real value?

While GenAI enables rapid experimentation, successful delivery requires understanding the full project lifecycle—from ideation and model adaptation to deployment and continuous monitoring.

In this webinar, you’ll gain:

A framework for GenAI-powered app lifecycle that you can apply to your own projects.
Practical insights into prompt design, evaluation, deployment, and operating GenAI applications in real world scenarios.

Basic familiarity with Generative AI concepts is beneficial in this event.

If you’re a developer, designer, product professional, or simply a GenAI-curious and want to move from experimentation toward real-world delivery, you are more than welcome to join!

Zeinab Yousefi

Data Scientist | DNA

I’m a data scientist passionate about turning business ideas into data-driven solutions. My work spans building predictive models for customer behavior to uncovering meaningful patterns in large datasets.

Nowadays, I’m especially excited about integrating Generative AI into our solutions, driving smarter automation and decision-making by creating AI-powered systems that remain relevant, reliable, and robust, despite the challenges posed by LLMs.