
We Will Discuss The Agenda of this course and What to expect from this course
Discover how the agent force platform on Salesforce builds ai agents that understand requests, perform actions, and resolve queries across sales, service, and customer sites.
Deploy org metadata, including custom objects, apex classes, and flows, to a new org enabled with Einstein AI and Copilot, using Git, Salesforce CLI, and VS Code.
Learn the fundamentals of agent for studio, distinguish service and employee agents, and understand running user, Einstein agent license, and key builder blocks such as agent detail and welcome message.
Create and configure a service agent in agent script, assign an Einstein user, test in live and simulate modes, and manage sub agents to support soft drink orders.
Make the soft drink agent deterministic by introducing a rating variable and a set rating action, using if conditions to ensure rating is available before querying records.
Explore how agent script enables deterministic, hybrid reasoning with context engineering, conditional logic, and action filters to safely route between subagents and control prompts.
Deploy a service agent to a customer community site with Agentforce, comparing direct routing and omni channel flow, and configure messaging channel, routing, and fallback queue for reliable external deployments.
Design and deploy an omni channel flow to route from the AI agent to human agents, pass the messaging session ID, create and link cases in queue, and track KPI.
Understand why Salesforce needs department-specific employee agents for internal users. Assign department-specific agents to sales, finance, or library, not as a single service agent.
Assign sales and lead employee agents to user groups via permission sets, enabling agent access for each user, and test with an Apex class creating soft drink orders.
Welcome to the Complete Agentforce, AgentScript & Prompt Templates Course.
This course is designed to be a complete practical guide to Salesforce Agentforce and modern AI-powered application development on the Salesforce Platform.
Whether you are preparing for the Agentforce Specialist Certification, exploring Salesforce AI for the first time, or looking to build production-ready AI solutions, this course will take you from the fundamentals all the way to advanced Agentforce implementations.
Agentforce is Salesforce's AI platform for building intelligent agents that can reason, take actions, interact with Salesforce data, execute business processes, and assist users across multiple channels.
Throughout this course, we will build real Agentforce solutions using Agent Builder, Prompt Builder, AgentScript, Flows, Apex, Data Cloud, Agentforce Data Library, and Retrieval-Augmented Generation (RAG).
You will learn:
• How Agentforce works and where it fits within the Salesforce ecosystem
• How to build AI Agents using Agent Builder
• How to create deterministic Agentforce solutions using Context Engineering, Filters, Conditional Logic, Action Chaining, and Transitions
• How to build and configure Agentforce Service Agents
• How to work with Employee Agents and conversational AI experiences
• How to deploy Agentforce Agents to customer-facing channels
• How to transfer conversations from AI Agents to human agents
• How to create custom Agent Actions using Apex, Flows, and REST APIs
• How to build business-specific Agentforce capabilities using custom actions
• How to work with Record Triggered and Data Triggered Agent experiences
• How to work with Agentforce Data Library and Retrieval-Augmented Generation (RAG)
• How to use unstructured data such as PDF documents with Agentforce
• How to build Prompt Templates using Prompt Builder
• How to create Sales Email Prompts
• How to create Field Generation Prompts
• How to create Record Summary Prompts
• How to build Flex Prompts
• How to create MCP Prompts and reusable AI workflows
• How Prompt Templates can invoke Apex, Flows, External APIs, and Agent Actions
• How Salesforce data can be grounded into Prompt Templates for accurate responses
• How to work with Agent Context Variables
• How AI Versioning works within Agentforce
• How to use Data Cloud with Agentforce
• How to build AI solutions using Agentforce Data Library
• How Salesforce Trusted AI Architecture works
• How the Einstein Trust Layer protects enterprise data
• How to work with Einstein for Sales and Einstein for Service
• How to use Model Builder and Einstein Studio
• How Agentforce for Developers can improve Salesforce productivity
• How Agentforce compares with modern AI coding assistants
• How Agentforce Vibes and AI-assisted development are changing Salesforce development workflows
This course follows a practical, hands-on approach. Every major concept is demonstrated through real implementations rather than theoretical discussions.
By the end of this course, you will have a strong understanding of Agentforce, AgentScript, Prompt Templates, Data Cloud, RAG, Agentforce Data Library, AI Agents, Prompt Engineering, and Salesforce AI development.
Whether your goal is to pass the Agentforce Specialist Certification, build enterprise AI solutions, or stay current with the latest Salesforce AI capabilities, this course is designed to provide a complete learning path.
Note:
• PPTs are included for each lecture
• Source code and implementation examples are included throughout the course