Machine Learning and Generative AI System Design Workshop

Join Sairam, AI Engineering Leader, for a hands-on workshop on designing robust, scalable, and future-proof AI systems

Design GenAI Systems You Can Safely Take to Production: A hands-on workshop for engineers accountable for systems that must scale, adapt, and survive real-world constraints.

Most AI workshops stop at models. This 4-hour, hands-on workshop goes where real-world impact begins: AI system design.

You’ll learn how to design GenAI and ML systems the way experienced architects do — balancing trade-offs, defining success metrics, and building architectures that survive changing models, policies, and business needs.

This isn’t theory. Through live discussions, guided exercises, and team-based design sprints, you’ll practice solving system-level AI problems and walk away with frameworks you can apply immediately at work.

What You’ll Walk Away With

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

• Design end-to-end ML and GenAI systems, not just individual components
• Make informed architecture trade-offs (cost, latency, quality, risk)
• Define evaluation and success metrics beyond accuracy
• Build flexible, future-proof architectures that adapt as models and regulations change
• Think like a system designer, not just a model builder
• Confidently decide whether a proposed GenAI system design is production-ready, and explain why.

What’s Included (Beyond the Live Workshop)

• A System Design Playbook you can reuse across projects
• Real-world GenAI architecture case studies
• Downloadable design templates for faster decision-making
• Certificate of completion
• Access to post-event resources to continue learning

Who This Is For

This workshop is ideal if you:

• Build ML or GenAI solutions and want to move beyond model training
• Designed for engineers and technical leads who are responsible for designing or approving ML/GenAI systems that must work in production, not just in demos.
• Are part of a team designing, deploying, or scaling AI in production

Prerequisites (So We Can Go Deep)

You should be familiar with:

• LLM concepts and basic architectures
• Terms like embeddings, prompts, context windows, retrieval, and fine-tuning

Helpful (but not required):

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

Why Attend?

If you’ve ever asked:

• “How do we turn this GenAI demo into a real system?”
• “What breaks when this scales?”
• “How do we design this so it still works next year?”

This workshop is for you.