Guide to Agentic Systems and AI Agents

This guide from Databricks covers the fundamentals of agentic systems and AI agents, including their architecture, capabilities, and how they differ from traditional AI applications. It likely explains key concepts such as autonomous decision-making, tool use, planning, and memory in agent-based systems, along with practical implementation considerations for building and deploying AI agents. The guide probably provides frameworks or best practices for developing agent-based solutions in enterprise environments.

Source: Databricks | 2026-06-23