Building AI Agents with Agentforce DX

Every modern organization is looking for ways to automate complex workflows and deliver instant support using artificial intelligence. Building these solutions requires a solid grasp of how AI agents think, plan, and execute tasks. This text-based course guides you through the foundational concepts and practical steps of creating autonomous agents using Agentforce DX developer tools. You will transition from understanding basic agent architecture to writing clean, reliable logic that powers intelligent decision-making. Through structured explanations and code-based scenarios, you will learn how to connect agents to external data sources and orchestrate complex business workflows. What you will learn: - Understand the core principles of AI agent architecture and planning models - Configure Agentforce DX developer tools to set up your workspace - Define clear system instructions and guardrails for safe agent behavior - Connect agents to APIs and external data services to retrieve real-time information - Implement robust error handling and fallback strategies for edge cases - Test and debug agent interactions using modern developer workflows We begin with essential terminology, exploring how agents differ from traditional chatbots and how they use reasoning to solve problems. From there, you will explore the step-by-step process of configuring developer tools, writing custom actions, and refining agent behavior using concrete business scenarios. This course is designed for beginner developers, software engineers, and technical administrators who want to build AI agents. No prior experience with agentic frameworks is required, though a basic understanding of programming concepts will help you get the most out of the material. Start reading today to master the fundamentals of building custom AI agents with Agentforce DX.