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?

Join us!

Mimmit koodaa program is aimed at women, and this event is intended for women only. Our goal is to provide a safe and encouraging environment for women in the technology sector and those who want to enter the field. The event offers an opportunity to network, share experiences, and strengthen the community for women.

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If you have any questions, please contact us by email: 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

Recording

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Mimmit koodaa program is aimed at women, and this event is intended for women only. Our goal is to provide a safe and encouraging environment for women in the technology sector and those who want to enter the field.

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?

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

Zeinab Yousefi

Data Scientist | DNA

Nuoli

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.