
AI is not just out in the world; it's in your job, your tools, and even your CRM.
From Einstein’s debut in 2016 to Agentforce 2.0 and the era of digital labor in 2025, Salesforce has rapidly evolved into an AI-first company. But how did we get here?
In this video, Shrey walks you through the complete journey of AI in Salesforce, breaking it down year by year, wave by wave. Whether you're exploring AI tools or already working with Salesforce, this video gives you the full picture of how AI is transforming the Salesforce ecosystem.
Topics Covered In This Video -
1. The 3 Waves of AI evolution in Salesforce
2. What made Salesforce introduce Einstein, and how it changed CRM forever
3. Features like Prediction Builder, Next Best Action, and Email Insights explained
4. The launch of Genie/Data Cloud.
5. The rise of Generative AI inside Salesforce: Einstein Copilot, Tableau GPT, Slack AI
6. What is AI Cloud and the Einstein Trust Layer?
7. Introduction to Agentforce & Agentforce 2.0
8. How you can now build custom AI agents for sales, service, and even development.
Agentforce… sounds like an action movie, right? But it’s actually Salesforce’s most powerful AI innovation yet.
In this video, Shrey Sharma breaks down what Agentforce is, how it works, and why it’s a game-changer for businesses.
From defining AI Agents to understanding the powerful Atlas Reasoning Engine, we have covered it all in simple language. Whether you are a Salesforce beginner or an expert, this video will help you understand:
-What is Agentforce?
-How AI Agents work in Salesforce
-The 5 Core Components of an AI Agent
-Agentforce Builder: No-code/low-code setup
-Atlas Reasoning Engine & Advanced RAG
-How Agentic Loops enable smarter decision-making
-Real-world use cases for AI Agents
Agentforce and Einstein Bots both use AI. Both handle conversations. So what’s the real difference? If you are a Salesforce Admin, Developer, or Consultant and are still wondering which one to use and when, you are not alone.
Many professionals assume they perform the same job, but the truth is that Agentforce and Einstein Bots are designed for completely different roles within the Salesforce ecosystem. In this video, Shrey breaks down everything you need to know about: What is Agentforce & Einstein Bots? Key differences in setup, UI, capabilities, and use cases. How they function in a real business scenario, and which one you should use based on your needs.
Topics Covered:
Introduction to Agentforce & Einstein Bots
Set up differences (LLM vs NLM)
UI placement & user experience
Capabilities & limitations
Real-life use cases
Salesforce Prompt Builder is a no-code tool that lets you design, customize, and manage AI prompts — bringing the power of AI (like Einstein GPT or OpenAI GPT-4) directly inside your CRM.
In this video, Shrey covers everything you need to know about Salesforce's Prompt Builder — including what it is, why it matters, and how to use it with real examples.
You will also see a hands-on demo of the Record Summary prompt template, powered by Agentforce and OpenAI GPT 4.0 Mini, showing how you can automate tasks like summarizing customer records inside your Salesforce org.
Topic covered in this video -
1. What is a prompt in AI (like ChatGPT & Einstein AI)?
2. Introduction to Prompt Builder in Salesforce.
3. Use cases for Prompt Builder in CRM.
4. How to enable and set up Prompt Builder.
5. Record Summary template demo using Agentforce.
Salesforce Agentforce is here — and it’s more than just AI suggestions. It can now generate and save actual field values for you!
In this video, Shrey Sharma walks you through Prompt Builder’s Field Generation feature and shows how to auto‑populate fields, save time, and work smarter across Service, Sales, or any custom object.
Topic covered in this video -
-What is Field Generation in Prompt Builder?
-How to create prompts for auto‑populating fields
-Demo: Generating personalized service suggestions
-Agentforce in action across Service, Sales, and custom use cases.
With Agentforce, you’re not just relying on AI for recommendations — you’re putting AI to work for you!
A generic, standard response does not work for everyone. If you really want your customers to engage or buy, you need flexibility, and that’s exactly what the Flex Template in Prompt Builder offers.
In this video, Shrey Sharma (Salesforce Hulk) explains how you can use Agentforce’s Flex Template to create fully customized AI responses tailored to your business needs. Whether you are sending dynamic customer messages, generating multilingual outputs, or building decision summaries, Flex Template is your ultimate tool.
You’ll also see a live demo using an automobile test drive scenario to see how it works in action.
Topics Covered in This Video:
-Why do standard AI responses not work for everyone?
-What is a Flex Template in Prompt Builder?
-Flex Template vs Standard Templates
-How does Flex Template give complete control over AI inputs & outputs?
-Use cases for tailored business responses
-Demo: Using Flex Template to create test drive responses for an automobile company
What if your Salesforce prompts could do more than just generate text? Imagine them fetching live data, triggering processes, and executing logic without you lifting a finger.
In this video, Shrey breaks down how you can integrate Flows and Apex directly into Salesforce Prompt Builder inside Agentforce. By combining AI-powered prompts with automation and backend logic, you will also learn how to create dynamic, data-driven responses that go far beyond standard chatbot capabilities.
Here’s what you will learn in this video:
-The difference between Flows and Apex in Salesforce Prompt Builder
-How to call a Flow from a prompt to automate updates?
-How to call an Apex class from a prompt for custom logic?
-Real-world example: Summarizing case comments with live data
-Step-by-step demo for integrating AI + automation + backend processes.
What if your sales coach, customer support rep, and HR desk were all powered by AI and never took a day off? That’s exactly what Salesforce Agentforce AI Agents are designed to do.
In this video, Shrey takes you inside the world of Agentforce AI Agents, showing how each type of agent can transform the way you work. From automating customer queries to guiding sales calls and qualifying leads, these agents are the future of business productivity.
What you’ll learn in this video:
1. How to set up Agentforce in your Salesforce org.
2. Overview of Agentforce AI Agents and their unique use cases.
3. Important permissions & data access you need before deploying.
In this video, Shrey shows you how to create your very first AI Agent in Agentforce from scratch. Together, we build a digital banking assistant that can open savings accounts, check loan eligibility, handle customer queries, and escalate issues when needed.
By the end of this video, you will understand the complete process of creating, configuring, and securing an AI Agent in Salesforce Agentforce.
Topic Covered In This Video -
1. What is Salesforce Agentforce & why does it matter?
2. How to create a Service Agent in Agentforce?
3. Configuring a digital banking assistant use case.
4. Setting up agent users and assigning the right license.
Want to see how Salesforce Agentforce can go beyond conversations and actually perform real actions?
In this video, Shrey shows how to call a Flow inside Salesforce Agentforce using Agent Actions. Through a banking use case, you’ll see how an AI agent collects customer details like name, email, and account type, then triggers a Flow to instantly create a new account record.
By the end of this demo, you’ll learn:
-Why Flows make Agent Actions more powerful than just conversations?
-How to configure a Flow action in Agent Builder?
-How to collect and pass user inputs automatically?
-How Agentforce + Flows save time, resources, and effort?
Ever wondered what to do when Salesforce Flows or prompts just aren’t enough for complex logic?
That’s where Apex + Agentforce come in — giving you fine control, external integrations, and automation power inside your AI agents.
In this video, Shrey walks you through how Apex can be used inside Salesforce Agentforce with the help of Agent Actions. Using a banking loan eligibility use case, you’ll see step by step how to:
-Write an Apex class with request & response wrapper classes
-Mark invocable methods for Agentforce to use
-Collect user inputs like age, income, and EMI through the agent
-Trigger the Apex logic and display the eligibility result back in conversation.
This demo will help you understand how to combine the power of Apex + Agentforce to build smarter, more capable AI agents for real-world use cases.
Topics covered in this video:
1. Why and when to use Apex in Agentforce?
2. Creating an invocable Apex class for loan eligibility.
3. Building a loan eligibility topic in Agentforce.
4. Adding Apex action to Agentforce topics.
5. Passing inputs & showing outputs from Apex.
6. Full loan eligibility banking demo in action.
Struggling to make your AI agents smarter and more contextual? ?
Most teams rely only on simple prompts, but what really powers accurate, real-time responses is the combination of Prompt Templates + Agent Actions. Without them, your agents often miss context, fail to summarize data properly, or give generic replies.
In this video, Shrey Sharma walks you through how to use Prompt Templates with Agent Actions in Salesforce Agentforce to deliver faster, smarter, and more reliable results. You’ll see how two AIs work together, one at the front end and one at the back end, to process queries, summarize cases, and provide dynamic, real-time answers.
What you’ll learn in this video:
-What are prompt templates and why do they matter?
-How to create a new prompt template in Salesforce?
-Setting up instructions, sources, and AI model configuration
-Connecting prompt templates with Agent Actions
-Live demo: summarizing a credit card dispute case
Ever wondered how Salesforce AI agents like Agentforce always deliver accurate answers? It’s not magic, it’s powered by Data Cloud. Let’s dive into how your AI agents fetch and process the right data in real time.
In this video, Shrey Sharma, your Salesforce Hulk, breaks down the backend of Salesforce Agentforce and explains how Data Cloud and the Data Library make your AI agents smarter. Learn how structured and unstructured data is connected, indexed, and retrieved to provide precise responses, and see a live demo of setting up a data library.
Topics Covered In This Video -
1. How AI agents pull accurate data with Agentforce
2. Introduction to Salesforce Data Cloud
3. Understanding the Data Library and its components.
4. Data Library Demo
Model Builder is one of the most powerful AI features in Salesforce, giving you the ability to create custom predictive and generative models tailored to your business needs.
In this video, Shrey walks you through how Model Builder works, showing how it powers AgentForce and Data Cloud to deliver smarter AI agents, make accurate predictions, and generate personalized content.
Topics covered in this video -
1. What is Model Builder in Salesforce?
2. How does it support AI agents in Agentforce?
3. Role of Data Cloud in training AI models
4. Step-by-step demo: Creating a predictive model.
You built your Agentforce AI agent… You tested it… and it works perfectly.
So what next?
In this video, Shrey will show you how to deploy your Agentforce AI agent on a Salesforce Experience Site so real users, customers, and portal members can chat with it live.
You’ll learn how to configure Omnichannel, routing, queues, build messaging channels, add embedded messaging, and make the bot available on your public site.
By the end of this video, your AI agent will be live and answering customer questions.
Topics Covered In This Video
-What is deployment in Agentforce
-Enable Omnichannel
-Create routing configuration
Salesforce Developers — AI is officially your new teammate.
In this video, Shrey will show you how Agentforce can completely change the way Salesforce developers write code. Instead of typing everything manually, you can use AI to write Apex classes, Lightning Web Components, SOQL queries, and even generate test classes.
You will see how quickly a developer can build, test, deploy, and explain code using this intelligent assistant inside VS Code.
Topics Covered In This Video -
-What is AgentForce for Developers
-How to enable the VS Code extension
-Dev Assistant demo
-Inline Code Completion demo
-Automatic Test Class Generation
Most developers assume Agentforce can only work inside Salesforce or Experience Cloud. But the moment your AI Agents need real-time data from outside Salesforce, they get stuck, because Agentforce cannot directly talk to third-party APIs. This is exactly where MuleSoft becomes a game-changer.
In this video, Shrey walks you through a complete end-to-end demo of integrating MuleSoft with Agentforce to build an AI agent that can fetch real-time weather data using an external API.
You will see exactly how to design, publish, implement, and consume APIs using MuleSoft Code Builder, then expose them to your Agentforce agents with just a few clicks inside Salesforce.
Topics Covered in This Video
-What is MuleSoft, and why does it matter for Agentforce?
-Connecting your Salesforce Org with MuleSoft.
-Live Demo: A full walkthrough of designing, deploying, and integrating a MuleSoft Weather API with Agentforce.
Welcome to the complete Salesforce Agentforce course for beginners and professionals in the Salesforce domain. This course is designed and curated by the youngest Salesforce MVP 2019 in the world, Shrey Sharma, also known as the Salesforce Hulk. He is also the founder and CEO of Cyntexa, a Salesforce Crest Partner, and Founder at S2 Labs.
In the rapidly evolving world where customer expectations and organizational demands are incomplete without AI, you need more than just basic automation skills. You need to integrate intelligent, conversational agents built on the trusted foundation of the Salesforce platform within your strategy. Salesforce Agentforce is the powerful new way to embed conversational AI intelligence directly within Salesforce.
Salesforce Agentforce is enabling agents and customers to engage seamlessly across channels, and this course teaches you how to harness its full potential. We start with the fundamentals of Agentforce on the Salesforce platform, then progress into building your first agent: setup, prompts, flows, and integrations. From there, we explore premium use-cases across industries, deep dive into prompt engineering, deployment process, data library, Mulesoft integration, and continuous improvement. Each section includes live demos, code walkthroughs (Apex + Flow), real-world templates, and downloadable assets.
We will also explore Model Builder and building your own generative and predictive AI models using Agentforce. By the end of this course, you will be able to not only design and build, but also configure AI agents within Salesforce, no matter the industry: Financial Services, Healthcare, Manufacturing, Consumer Goods, Public Sector, Energy & Utilities. And you’ll have the professional credibility to talk about Agentforce and AI with clients, senior stakeholders, and your team.
By enrolling today, you’ll gain the cutting-edge AI skills that position you as an asset in the industry.
Note:
You will get the notes for each lecture.