AI Technology Workshop Series: AI Model Development Lifecycle | AISV.817_W12

---

Welcome to our immersive AI technology workshop series. During these sessions you will be introduced to new and established AI tools that will help you create and manipulate content in new and powerful ways. Each session is led by an industry expert who will guide you through the material and share its real-world implications.

Learning Outcomes

At the conclusion of the workshop, you should be able to

• Acquire knowledge/skills on the fundamentals of AI model development process
• Explain the critical steps required in building and refining AI models
• Demonstrate ability to identify key testing activities of an AI model

Topics Include

• Planning for the AI model: Data accuracy cleaning, augmentation, visualization, Structured/unstructured data
• Designing algorithms, constraints, assumptions
• Evaluating AI models, bias testing, edge case analysis
• AI model deployment strategy, platform selection, model packaging and implementation
• Maintenance: performance monitoring, model retraining and versioning

Students are required to bring laptops for class exercises