In this session, I will dive into agentic AI systems ; intelligent agents capable of reasoning, planning, and acting autonomously and demonstrate how to implement them end-to-end on Google Cloud’s Vertex AI. Attendees will get hands-on examples of:

Designing decision-making pipelines for autonomous AI agents using Vertex AI Workbench and Vertex Pipelines.

Integrating explainable AI (xAI) techniques to ensure transparency, interpretability, and trust in agentic workflows.

Writing and executing Python code for AI agents that interact with APIs, analyze data, and make automated decisions in real time.

Leveraging Vertex AI models for predictive tasks, RAG-based knowledge retrieval, and continuous learning loops.

This talk is highly technical and includes live coding examples to show exactly how agentic AI can be deployed responsibly at scale. By the end, participants will not only understand the architecture of agentic AI systems but also be ready to implement their own explainable, cloud-powered autonomous workflows.