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Mastering Salesforce AI: Agentforce and Prompt Templates (Udemy.com)

Complete Guide to Agentforce, AgentScript & Prompt Templates | Fully Updated for 2026 | Prepare for your Specialist Exam

Created by: Salesforce Developer

Last updated September 2026

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What you will learn

  • What is Agentforce, Agents And Prompt builder
  • Enable and Configure Agents to be deployed on multiple channels
  • What is Agent Builder and How to build Agents using Agent builder
  • Agentforce Voice
  • Hybrid Reasoning with Agent Script
  • Understand Topics, instruction and Actions of Agents
  • Architecture of Salesforce Trusted AI + Data , Understand where all different component sit in this Architecture
  • What is Einstein Trust layer , and How it Provides Trusted interaction between CRM Data and AI
  • Understand the planning and Execution phase of Agent
  • Creating Data Trigger Agents
  • Agent Context Variable and How to Use it with Agents
  • Understanding RAG using Agentforce Data Library
  • Agent API And Headless Agents in Agentforce
  • Exploring Custom Actions and Create Custom Actions Using Apex
  • Create Complex Custom Actions Using Apex and External API’s
  • Agentforce Data Library

How it compares

Against the other 100 rated Udemy courses in Salesforce on CourseDuck:

  • Rating4.6 out of 5higher than 68% of them
  • Reviews2,512#25 of 101 by number of reviews
  • Length21.9 hourslonger than 86% of them
  • Last updatedSeptember 2026more recently than 99% of them

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Course Description

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

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Instructor Details

Salesforce Developer

I am 18X Salesforce Certified Applications Architect, I love Learning New Skills which I want to Share with more and More People.

I have expertise in Salesforce Configuration and Customization And I have worked on Different project where I have Solved complex Integrations. I have worked on multiple clouds and Various Salesforce Products 

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Reviews

4.6

2,512 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Yatin Takle on 9/25/2026

This course content as absolutely what I wanted, I appreciate that a glimpse of what is going to be explained in details was given in the first short introduction video, it has made a clear scope in my mind about what I am going to learn in further sessions,

By Iain Banks on 8/19/2026

I started with 5 stars as the first 25 chapters are clear, unfortunately the author seems to skip a few steps and is actually using serveral different orgs, which is confusing when you are following along.

By Rahul Sharma on 7/9/2026

I love the content but the creator needs to update the videos time to time some of them are outdated

By Anisha Deepchandani on 5/24/2026

Course is good, just too lengthy due to repetitions. I had to skip or fast forward at lot of places. But thats good for beginners. Also, please work on mic in last few lectures and some in middle did not had good quality audio.

By Learner Udemy on 3/28/2026

The trainer is so good, and the explanation is quite detailed. Keeping up with the updated Agentforce trends is not easy, and the trainer updates the course with all the new updates, which is commendable. Each and every section is explained with detailed steps.

By Sreenath Reddy on 1/28/2026

This session was very useful for learning the Agentforce topic, which made learning new concepts much simpler. As a suggestion, adding a few more examples and including a small project or hands‑on exercise would make the session even more effective.

By Akhila on 1/4/2026

This session was very good for learning the Agentforce topic, especially for beginners. The explanations were clear and informative, making it easier to grasp new concepts.

By Pradnya Nayak on 12/15/2025

A very well made course. I did skip some of the coding detailed examples assuming those wont come in the Agentforce specialist exam, but a majority of even code related questions came! I am so thankful I went through this course and it helped me pass the specialist exam! This is a must do course if you want to pass the latest exam as of Dec 15th 2025.

By Murari Panigrahi on 10/18/2025

Very well explained from the scratch in such a way that a new guy who don't have any idea about it can also easily understand and learn it. Really Awesome

By Sachin R on 10/15/2025

The course is very good and contains a lot of relevant information on the topic. However, I would like to suggest making the development exercises more interactive rather than being only instructor-led, so that students can also gain some hands-on experience by the end of the course.

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Overall Score : 92 / 100