Machine Learning and Generative AI System Design Workshop

This 4 hour practical workshop will take you beyond model building into real-world AI system design — where strategy, architecture, and evaluation come together. Learn how to think like a system designer, make trade-offs between components, and design for scale, resilience, and adaptability in fast-changing AI environments.

Through live discussions, guided exercises, and team-based design sprints, you’ll explore how to approach system-level challenges, define success metrics, and future-proof your AI solutions.

Who This Workshop Is For:

• AI/ML practitioners looking to move beyond model training into full system design
• Product managers, architects, and data professionals exploring AI-driven system thinking
• Teams designing or scaling generative AI solutions

What You’ll Learn:

By the end of the session, you’ll be able to:

Apply system thinking to generative AI architectures
Identify design trade-offs and evaluation metrics
Build frameworks for problem exploration and solution design
Create flexible architectures that adapt to new models and policies
Understand how to future-proof your GenAI systems

Prerequisites:

• Familiarity with LLM concepts, retrieval, and basic architecture
• Awareness of terms like embedding, context window, prompt, and fine-tuning

Optional Experience:

• Background in product management, AI strategy, or technical architecture