Overview

Welcome to the Salesforce Agentforce Real-Time Project Implementation Course, where you'll learn to build AI agents in real-world scenarios.The demand for Agentforce is growing rapidly, yet many Salesforce professionals still lack hands-on experience. This course is designed to bridge that gap by guiding you through practical projects that help you build real-time AI agents with confidence.Whether you're learning Agentforce for the first time or building a POC for your clients, this course offers hands-on experience and the confidence you need to work effectively with Agentforce. you will build Projects that you can confidently explain in an Interview , You're encouraged to share them with recruiters and hiring managers.in this course, we'll build real time projects from scratch:1. Roomie Agent In this project, we'll begin by building our very first AI Agent - Roomie, a virtual assistant for a luxury hotel website. This is a beginner-friendly project that introduces you to the foundational concepts of Agentforce.You'll learn how to:Create your first Agentforce AI AgentDefine reusable actions that power specific tasks like room service and food orderingTrain the agent to ask the right questions at the right timeLeverage context to offer personalized and accurate responsesIntegrate the agent with a customer-facing Experience Cloud site, accessible to any hotel guest - no login requiredRoomie is designed to assist hotel guests throughout their stay. It can:Help onboard new customersAssist with food order placementHandle room service requestsSupport users during the checkout processYou'll also get hands-on with:Defining Topics that translate into real agent capabilitiesAdding instructions and actions that guide the agent in performing tasksBuilding custom actions using Flows and ApexCreating dependent actions, where the output of one action feeds into the nextBy the end of this section, you'll have built a fully functional AI assistant that simulates a real-world hospitality use case - laying a strong foundation for more advanced projects ahead.2. Clinical Research Agent (Frontend) And Post Enrollment Agent (Backend)In this project, we'll take a major leap and build a much more advanced AI agent - the Clinical Research Agent. This agent is designed for the healthcare and research industry, capable of answering detailed patient queries around clinical research, trial eligibility, and company-specific studies.You'll learn how to:Equip your Agent to Answer User's question by utilizing Agentforce Data libraryBuild Complex Agent Actions using Knowladge Prompt templates, Apex , Flows and API'sSolve business Use case with Less code and Less Record Creation by giving Agent Access to Unstructured Business Data and Train it to take intelligent Actions.Work With Context Variable to get all the Share all the details with Agent before the Conversation starts with CustomerWork with Multiple Agents to divide the Task Among them, the Front end agent to talk with Customer and Backend agent to perform backend Analysis and ExecutionThis agent uses several features of Salesforce Einstein AI and Agentforce, including:Agentforce & AI AgentsData Cloud and RAGAgentforce Data LibraryPrompt BuilderContext VariableComplex Actions using Apex ,flow , APIInvoking Agent with Record Triggered flowsBy the end of this section, you'll be capable of building production-grade AI agents for critical, high-impact industries like healthcare and researchNote:Code and Prompt Templates Built in Lectures will be provided in the Respective lectures.

Skills

Reviews