
Introduce Agentforce, a Salesforce platform front layer to create standard and custom agents, backed by data cloud and the Einstein trust layer, with governance and secure ai tooling.
Set up a Salesforce dev org, enable Einstein generative AI and Agent Force, configure data cloud, and explore the agent builder with topics, logs, and built-in Salesforce models.
Completing the data cloud setup connects to org and enables assigning permissions to users. Admin privileges grant full data cloud and space management access, and we now begin creating agents.
Explore how Atlas Reasoning Engine, the brain of the agent force platform, interprets data and guides topic creation with guardrails, enabling intelligent complaint logging and self-learning.
Create a custom apex action using an Invocable method to register a complaint with pin code, subject, and description, then persist the record via DML in the Agent Force platform.
The lecture demonstrates using the prompt builder to create a flex prompt template from the complaint object for OpenAI GPT for Omni Mini, enabling emails to the blog development authority.
Explore how Einstein trust layer secures prompts with secure data retrieval, dynamic grounding, data masking, and prompt defense—configuring pattern-based and field-based masking for safe LLM use.
Learn to create a custom service agent to handle complaint registrations, assign user and object permissions, define topics and apex actions, and deploy to an experience site.
Deploy the agent to the experience site by configuring routing configuration, a fallback queue, an omnichannel flow, a messaging channel, and finally an embedded service deployment to invoke the agent.
Configure routing, queues, and an omnichannel flow to deploy the BDA support agent to the community site, activate messaging channels, and publish an embedded service deployment for live customer support.
Create a developer edition, enable Einstein and data cloud, then use agent force in the builder to configure topics and actions for general crm and single record.
Use Salesforce flows to auto summarize opportunities with the AI agent. Create an opportunity summary field and populate it asynchronously via the flow.
Learn to configure a Salesforce agent to generate a plain-text, single-record summary by embedding instructions, extracting the JSON value, and appending the current date and time at the beginning.
Learn how to empower your Salesforce agent with a new topic to create and query a competitor object, including mandatory name handling, existence checks, and flow-based actions.
Learn to create a Salesforce apex invocable method to add a new competitor via an agent action, including input wrappers, duplicate checks, and returning a structured response in agent studio.
Enable external callouts in Salesforce Agentforce by connecting to the news data.io API, obtaining an API key, and building Apex code to fetch and display news.
Learn to build standard and custom Salesforce agents that manage opportunity competitor records. Lesson introduces the opportunity competitor object with a primary flag and lookup relationships to opportunities and competitors.
"Salesforce Agentforce: Smart AI Agents" is a comprehensive course designed to teach you how to leverage Salesforce’s Agentforce platform to build intelligent AI agents that drive business success. In today’s fast-paced business environment, AI-powered automation is essential for enhancing customer experiences, streamlining workflows, and improving operational efficiency. This course will guide you step-by-step in creating AI agents that can handle a variety of tasks within Salesforce, from automating customer service inquiries to optimizing business processes.
Throughout the course, you will gain hands-on experience in building and customizing AI agents using Salesforce’s built-in tools, such as Natural Language Processing (NLP), and integrating them into your existing Salesforce workflows. You’ll learn how to deploy these agents to automate tasks, enhance lead management, and deliver personalized customer interactions.
In addition, this course will cover key concepts like evaluating agent performance, gathering user feedback, and continuously improving AI-driven solutions for maximum impact. Whether you are a Salesforce admin, developer, or business analyst, this course will equip you with the skills to create powerful AI solutions that solve real business problems.
By the end of the course, you’ll be able to design, deploy, and optimize AI agents that will not only increase productivity but also provide a competitive edge in today’s AI-driven marketplace.