Salesforce Agentforce: Multi-Agent Systems & Exam Prep

Welcome to the course on designing, deploying, and governing AI agents using Salesforce Agentforce for real enterprise workflows. This course focuses on designing, deploying, and governing production-ready AI agents using Salesforce Agentforce. It covers structured prompt design, multi-agent coordination, enterprise workflows, integrations, and governance practices used in real business environments. By the end of the program, learners will be able to: - Design AI agents using structured prompts, guardrails, and defined agent roles - Apply multi-agent coordination patterns to manage enterprise workflows with Salesforce Agentforce - Implement business logic, integrations, and data access using Einstein AI and Data Cloud - Analyze agent behavior and performance using scenario-based testing - Improve governance and monitoring practices for AI agents in production environments The content is intended for Salesforce developers, architects, automation engineers, and technical professionals who work with enterprise workflows and AI-driven solutions. Learners should have access to a modern web browser and a Salesforce environment, such as a Developer Edition or sandbox, to execute the demonstrations and examples. Basic familiarity with Salesforce concepts, automation workflows, or AI-related tools is recommended. Prior experience with Agentforce is helpful but not required. Overall, the program prepares learners to work confidently with Agentforce across real-world AI agent design, deployment, and governance scenarios.