Continue your journey with Rizel Scarlett on Day 2 as we level up from basics to building production-ready, reusable agent workflows with goose.

Building on Day 1's foundations, this session takes you deeper into advanced agentic patterns and real-world applications. You'll work on more complex projects that mirror what you'll face as an AI engineer in production environments.

What You'll Learn - Day 2

In this advanced session, you'll:

• Visualize data from a hot cocoa championship using MCP servers
• Delegate work to subagents and orchestrate multi-agent workflows
• Learn production-ready patterns for building reusable agent systems
• Design workflows that scale across different tools and contexts

By the end of Day 2, you'll leave with a new mental model for working with AI and practical patterns you can apply immediately to your own projects.

Prerequisites

Attendance at Day 1 or equivalent experience with goose basics is recommended to get the most out of this session.