Industrial GenAI: A Practical Approach

For whom?

• This program is designed for data scientists and data engineers working in the industrial sector who are looking to enhance their skills with practical GenAI applications.

What?

• Practical GenAI applications in the industrial space: Explore real-world use cases and how GenAI can be applied to your specific challenges.
• Bring your own case: Enhance your own projects with GenAI, whether it’s customer or maintenance service augmentation, predictive maintenance, or code generation.
• Comparing traditional ML/optimization with GenAI: Understand the differences and advantages of GenAI over traditional machine learning and optimization techniques.

How?

• Structured learning over two weeks: The program includes three 3-hour sessions, a 1.5-hour retrospective, and 30-minute Q&A sessions after each workshop for personalized coaching and feedback.
• Flipped classroom model: Tackle practical challenges before each hands-on workshop, allowing for deeper explorations into the topics during the sessions.
• Collaborative team learning: Engage in a collaborative team learning sprint, where you’ll work alongside peers to solve real-world challenges.
• Interactive workshops: Conducted over two weeks (Monday, Friday, Wednesday + retro Monday) with a sandbox environment set up on Azure and workshops held in your own Teams environment.
• Intimate cohort sizes: With group sizes of 10-15 participants, you’ll receive focused attention and have ample opportunity for interaction and feedback.

Sample workshop experience

• Feedback on challenges: Start each workshop with feedback on the challenges you’ve tackled, providing a strong foundation for the session.
• Coding with GenAI: Dive into practical coding sessions, where you’ll apply GenAI to real-world tasks.
• Reflection on the task: End each session with a reflection period, helping you to internalize what you’ve learned and how you can apply it to your work.