Mastering Agentic AI Design Patterns for Scalable Systems

Discover the transformative power of Agentic AI Design Patterns, introduced by AI pioneer Dr. Andrew Ng. Unlike traditional linear models, agentic workflows mimic human iterative processes, using multiple agents or refined outputs to deliver superior results. This session unpacks key design patterns—Reflection, Tool Use, Planning, and Multi-Agent Collaboration—through practical code examples, showcasing their application in building intelligent systems. Learn when and how to use these patterns to create scalable, adaptable, and efficient AI agents. Empower your AI projects with innovative techniques for introspection, tool integration, strategic planning, and collaboration.

Key Takeaways:

• Learn how Agentic AI Design Patterns enhance AI performance by mimicking human-like iterative processes for refined outputs.
• Explore the key patterns—Reflection, Tool Use, Planning, and Multi-Agent Collaboration—designed to optimize various aspects of agent functionality.
• Learn through practical code examples how to implement these patterns and apply them effectively across diverse AI use cases.
• Gain insights into building scalable, adaptable, and efficient AI systems by leveraging the strengths of Agentic AI workflows.

Serg is a data scientist in agriculture with a lengthy background in entrepreneurship and web/app development, and the author of the bestselling book 'Interpretable Machine Learning with Python'. Passionate about machine learning interpretability, responsible AI, behavioral economics, and causal inference.You can follow him on Linkedin and Twitter.