Lab: From Model to Application

Bridge the Gap: Transforming AI Experiments into Real-World Solutions

Put theory into practice in this hands-on lab where you'll experience the complete journey of bringing an AI solution to life. Working with a machine learning model we've already created, we'll navigate the crucial steps that turn promising experiments into deployed applications delivering business value.

Experience firsthand how models transition from development environments to production systems as we learn practical techniques for model export and integration. Build confidence with application development approaches that connect your AI capabilities with user-friendly interfaces, making your solutions accessible to stakeholders across your organization.

Master the deployment process that makes your AI solution available to users, understanding the infrastructure considerations that ensure reliability and performance. We conclude with some background on how pipeline automation creates sustainable, repeatable processes that reduce maintenance overhead and accelerate future innovations.

This immersive session offers invaluable perspective on realistic timelines, resource requirements, and practical workflows for AI implementation—knowledge that empowers you to effectively plan, communicate, and manage AI initiatives in your organization. Walk away with a working application and the strategic understanding to guide successful AI deployment projects.

• Outline
• Machine learning model export
• Application development
• Application deployment
• Pipeline automation

• Format
• This session is hands-on. Attendees work on their laptops

• Level
• Advanced

• Prerequisite Knowledge
• AI Integration and Deployment

• Learning Outcomes
• Experience in AI application development and deployment