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Salesforce Agentforce: Build & Deploy Intelligent Agents · LearnSpace
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courseraIT и технологии

Salesforce Agentforce: Build & Deploy Intelligent Agents

Курс от Edureka
Средний≈ 8.8 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

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.

Навыки, которые вы освоите

Data IntegrationAutomationSalesforceAgentic systemsAgentic WorkflowsPrompt EngineeringBusiness RequirementsGenerative AI AgentsData SecurityData ArchitecturePrompt PatternsData GovernanceAI EnablementArtificial IntelligenceAI WorkflowsCustomer Relationship Management (CRM) SoftwareApplication Lifecycle ManagementAI SecurityAI OrchestrationResponsible AI

Программа курса

3 модулей · 56 учебных материалов

01Agent Actions & Intelligent Context19 материалов

Agent Connections and Data Library

Specialization IntroductionВидеоCourse IntroductionВидеоCourse OutlineЧтениеAgent Connections in AgentforceВидео

Учитесь у экспертов

Edureka

Преподаватель курса

Salesforce Agentforce: Build & Deploy Intelligent Agents
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Обучение откроется на Coursera
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Обучение на Coursera

≈ 8.8 ч

3 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Испанский, Японский

Часть программы вашего университета
Data Library in AgentforceВидео
Hands on : Configuring Agent Connections in Agentforce BuilderВидео
Hands on : Using the Data Library for Agent GroundingВидео
Why Agents Need Controlled Access to Systems and DataЧтение
Understanding Agent Connections and Data Grounding in AgentforceDIALOGUE
Practice Knowledge Check: Agent Connections and Data LibraryЗадание

Agent Actions and Execution Flow

Agent Actions in AgentforceВидеоAction Governance and Safety in AgentforceВидеоHands-On: Configuring Agent Actions in Agentforce BuilderВидеоHands-On: End-to-End Agent Execution Using ActionsВидеоWhy Agent Actions Matter in Enterprise AutomationЧтениеPractice Knowledge Check: Agent Actions and Execution FlowЗадание

Module Wrap-Up and Assessment

Summary of Agent Actions & Intelligent ContextЧтениеDesigning Intelligent Agent Execution in AgentforceDIALOGUEKnowledge Check: Agent Actions & Intelligent ContextЗадание
02Agentforce Automation, Context, and Flows15 материалов

Agentforce Flows and Intelligent Automation

Salesforce Flows in Agentforce AutomationВидеоAutomation Governance and SafetyВидеоHands on : Building Flow-Based Automation for AgentsВидеоHands on : End-to-End Agent and Flow AutomationВидеоWhy Automation Is Essential for Scalable Agent SystemsЧтениеPractice Knowledge Check: Prompting in AgentforceЗадание

Understanding Agent Context and Triggers

Context in Agentforce: Concepts and ArchitectureВидеоHow Agentforce Triggers Automation Using FlowsВидеоHands on : Configuring Context for Agent DecisionsВидеоHands on : Triggering Flows from Agent ContextВидеоWhy Context Drives Intelligent Agent BehaviorЧтениеPractice Knowledge Check: Designing Prompt Templates in AgentforceЗадание

Module Wrap-Up and Assessment

Summary of Prompt Builder FundamentalsЧтениеDesigning Intelligent Automation with Agentforce and FlowsDIALOGUEKnowledge Check: Prompt Builder FundamentalsЗадание
03Data Cloud Integration & Agent Validation22 материалов

Using Data Cloud with Agentforce

Introduction to Data CloudВидеоData Cloud as Agent ContextВидеоHands on : Grounding an Agent Using Data Cloud DataВидеоHands on : Overview of DSO, DLO and DMOВидеоReal-Time Data Cloud SignalsВидеоHands on : Using Real-Time Data Cloud Signals to Influence Agent BehaviorВидеоWhy Real-Time Data Changes Agent IntelligenceЧтениеPractice Knowledge Check: Getting started with AgentforceЗадание

Agent Testing, Debugging, and Optimization

Hands on : How to Test Agent Responses EffectivelyВидеоHands on : Reviewing Agent Reasoning TracesВидеоHands on : Measuring Agent Success and AccuracyВидеоOptimizing Agent Cost, Accuracy, and PerformanceВидеоWhy Agent Quality Cannot Be AssumedЧтениеPractice Knowledge Check: Creating Agents with AgentforceЗадание

Course Wrap-Up and Assessment

Final Checkpoint: Reflecting on Intelligent Agents with Agentforce and Data CloudDIALOGUEPractice Project: Build a Context-Aware, Data-Grounded Enterprise Agent Using AgentforceЧтениеEnd Course Knowledge Check: Build & Deploy Intelligent AgentsЗаданиеData-Driven Agent Implementation – Scenario AssignmentЗаданиеCourse SummaryВидео
Summary of Data Cloud Integration and Agent ValidationЧтение
Grounding, Validating, and Optimizing Agents with Data CloudDIALOGUE
Knowledge Check: Data Cloud Integration & Agent ValidationЗадание