Overview
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Salesforce Agentforce is transforming how enterprises automate CRM workflows — replacing static bots with intelligent, context-aware AI agents that can reason, decide, and act within Salesforce. The AI-201 Agentforce Specialist certification validates the skills to design, build, and govern these agents in production environments.
This specialization prepares you for that certification through three progressive courses grounded in real Salesforce org experience. You will begin with Einstein AI and the Einstein Trust Layer, move into hands-on agent construction using Agent Builder, and advance to multi-agent orchestration, Data Cloud integration, and enterprise deployment patterns.
Every module is built inside actual Salesforce tooling — Prompt Builder, Agent Builder, Flows, Apex actions, and Data Cloud — so you develop skills that transfer directly to your Salesforce org and to the AI-201 exam. The specialization closes with a dedicated certification readiness module including mock exams, question walkthroughs, and exam strategy.
Whether you are a Salesforce administrator expanding into AI, a developer building intelligent automation, or a consultant positioning clients for agentic CRM, this program gives you the technical depth and exam confidence to succeed.
Syllabus
- Course 1: Salesforce Agentforce: Introduction to Agentforce Platform
- Course 2: Salesforce Agentforce: Build & Deploy Intelligent Agents
- Course 3: Salesforce Agentforce: Multi-Agent Systems & Exam Prep
Courses
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This course focuses on the core foundations of building enterprise AI agents using Salesforce Agentforce. It introduces how agents are designed to think, collaborate, and operate safely within governed enterprise environments, emphasizing structured prompting, multi-agent coordination, and responsible AI practices. Designed for developers, architects, and AI practitioners, the course goes beyond basic prompt usage to demonstrate how Agentforce agents are shaped through clear instructions, guardrails, and collaboration patterns. Learners explore how prompts act as operational guidance, how multiple agents work together through defined handoffs, and how governance ensures predictable and auditable agent behavior. Through scenario-driven lessons and hands-on demonstrations, you will learn how to design advanced prompts, apply refusal logic and safety boundaries, and decompose complex workflows into specialized agents. You will also explore how agents are evaluated, monitored, and governed throughout their lifecycle to ensure long-term reliability in production environments. The course culminates in designing and validating a multi-agent enterprise system, bringing together structured prompting, coordination patterns, safety controls, and lifecycle governance into a cohesive Agentforce-based architecture. By the end of this course, you will be able to: - Explain how enterprise AI agents differ from conversational assistants - Design structured prompts that guide agent reasoning and execution - Apply guardrails and refusal logic to enforce safety and scope boundaries - Build multi-agent systems with clear roles and coordination patterns - Monitor and evaluate agent behavior using metrics and reasoning traces - Apply governance and compliance practices across the agent lifecycle This course is ideal for AI engineers, platform architects, automation specialists, and technical leaders who want to build trustworthy, production-ready agents using Salesforce Agentforce. A basic understanding of AI concepts and enterprise systems is helpful, but no prior experience with multi-agent architectures or governance frameworks is required. Join this course to learn how to build AI agents that behave predictably, collaborate effectively, and operate responsibly within Salesforce Agentforce.
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This course explores how Salesforce Einstein AI and Agentforce enable intelligent, enterprise-ready AI experiences within the Salesforce platform. It focuses on how AI can move beyond traditional automation and reporting to provide context-aware insights, guided responses, and controlled actions inside real CRM workflows. Designed for Salesforce professionals and technical learners, the course demonstrates how Einstein AI, Einstein Copilot, Prompt Builder, and Agentforce work together to deliver AI capabilities that are grounded in business data, governed by trust controls, and aligned with enterprise requirements. Through structured lessons and practical demonstrations, you will learn how Salesforce embeds AI into the platform, how prompts and prompt templates influence AI behavior, and how the Einstein Trust Layer ensures privacy, security, and compliance. You will also explore how Agentforce uses Topics, Instructions, and Actions (TIA) to define agent scope, guide responses, and control execution. The course progresses from AI fundamentals to applied agent design, emphasizing safe enablement, predictable behavior, and real-world usability. Rather than treating AI as a black box, it focuses on how to design AI systems that operate responsibly within Salesforce. By the end of this course, you will be able to: - Explain how Salesforce Einstein AI differs from traditional automation and analytics - Design enterprise-grounded and role-aware prompts using Prompt Builder - Apply trust and governance principles using the Einstein Trust Layer - Define agent scope and behavior using Topics, Instructions, and Actions (TIA) - Design and validate Agentforce agents for common Salesforce use cases This course is ideal for Salesforce administrators, developers, consultants, and professionals who want to understand and apply AI capabilities within Salesforce. A basic familiarity with Salesforce concepts is helpful, but no prior experience with AI or agent systems is required. Join us to learn how to design trusted, intelligent AI experiences that assist users and support business workflows within Salesforce.
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Welcome to the course on designing, deploying, and governing AI agents using Salesforce Agentforce for real enterprise workflows. This course focuses on designing, deploying, and governing production-ready AI agents using Salesforce Agentforce. It covers structured prompt design, multi-agent coordination, enterprise workflows, integrations, and governance practices used in real business environments. By the end of the program, learners will be able to: - Design AI agents using structured prompts, guardrails, and defined agent roles - Apply multi-agent coordination patterns to manage enterprise workflows with Salesforce Agentforce - Implement business logic, integrations, and data access using Einstein AI and Data Cloud - Analyze agent behavior and performance using scenario-based testing - Improve governance and monitoring practices for AI agents in production environments The content is intended for Salesforce developers, architects, automation engineers, and technical professionals who work with enterprise workflows and AI-driven solutions. Learners should have access to a modern web browser and a Salesforce environment, such as a Developer Edition or sandbox, to execute the demonstrations and examples. Basic familiarity with Salesforce concepts, automation workflows, or AI-related tools is recommended. Prior experience with Agentforce is helpful but not required. Overall, the program prepares learners to work confidently with Agentforce across real-world AI agent design, deployment, and governance scenarios.
Taught by
Edureka