Edureka

Salesforce Agentforce Specialist (AI-201) Certification Prep 专项课程

Edureka

Salesforce Agentforce Specialist (AI-201) Certification Prep 专项课程

Design, Build, and Deploy Salesforce AI Agents.

Master complete Agentforce from Einstein AI fundamentals to enterprise-grade multi-agent systems

Edureka

位教师:Edureka

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12 周 完成
在 5 小时 一周
灵活的计划
自行安排学习进度
深入学习学科知识
中级 等级

推荐体验

12 周 完成
在 5 小时 一周
灵活的计划
自行安排学习进度

您将学到什么

  • Design and configure Salesforce Einstein AI features and build enterprise-grounded prompts using Prompt Builder and the Einstein Trust Layer

  • Build and deploy functional Agentforce agents using Agent Builder, Salesforce Flows, and the Topics, Instructions, and Actions (TIA) framework

  • Ground agents in Salesforce Data Cloud, test and debug agent behavior using reasoning traces, and optimize agent accuracy and performance

  • Architect multi-agent coordination systems, integrate external APIs and Apex actions, and prepare for the Salesforce AI-201 certification exam

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授课语言:英语(English)
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February 2026

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精进特定领域的专业知识

  • 向大学和行业专家学习热门技能
  • 借助实践项目精通一门科目或一个工具
  • 培养对关键概念的深入理解
  • 通过 Edureka 获得职业证书

专业化 - 3门课程系列

您将学到什么

  • Understand how Salesforce Einstein AI and Agentforce deliver intelligent, context-aware AI beyond traditional automation.

  • Design effective, role-aware prompts using Prompt Builder to guide AI behavior within real Salesforce workflows.

  • Apply trust, security, and governance using the Einstein Trust Layer to ensure safe and compliant AI usage.

  • Build and validate Agentforce agents using Topics, Instructions, and Actions (TIA) for real-world Salesforce use cases.

您将获得的技能

类别:Generative AI Agents
类别:Agentic systems
类别:Customer Relationship Management (CRM) Software
类别:Prompt Patterns
类别:Artificial Intelligence
类别:Salesforce

您将学到什么

  • Describe how Agent Connections, Data Library, and action lifecycles enable secure system, data, and context integration.

  • Implement agent actions, flows, triggers, and governance to design cohesive end-to-end automation experiences.

  • Analyze how Data Cloud models and real-time signals shape agent context and decision intelligence.

  • Optimize agent performance through testing, reasoning traces, and accuracy metrics to ensure production readiness.

您将获得的技能

类别:AI Enablement
类别:Automation
类别:Prompt Engineering
类别:Salesforce
类别:Artificial Intelligence
类别:AI Security
类别:Model Evaluation
类别:Data Governance
类别:Application Lifecycle Management
类别:AI Orchestration
类别:Responsible AI
类别:Business Requirements
类别:Data Integration
类别:Data Architecture
类别:Customer Relationship Management (CRM) Software
类别:Data Security
类别:Generative AI Agents
类别:Agentic Workflows
类别:Agentic systems
类别:Prompt Patterns

您将学到什么

  • Design and orchestrate production-ready AI agents using Salesforce Agentforce and structured prompting techniques.

  • Implement enterprise workflows with multi-agent coordination, secure integrations, and controlled business logic.

  • Evaluate and govern AI agent behavior using monitoring, testing, and certification-aligned best practices.

  • Strengthen governance and monitoring practices for AI agents in production environments.

您将获得的技能

类别:Responsible AI
类别:AI Orchestration
类别:Application Lifecycle Management
类别:AI Security
类别:Data Governance
类别:Workflow Management
类别:Model Evaluation
类别:Prompt Patterns
类别:Salesforce
类别:AI Enablement
类别:Business Logic
类别:Performance Testing
类别:Artificial Intelligence
类别:Enterprise Architecture
类别:Agentic Workflows
类别:Customer Relationship Management (CRM) Software
类别:Prompt Engineering
类别:AI Workflows
类别:Agentic systems
类别:Generative AI Agents

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位教师

Edureka
Edureka
150 门课程 140,609 名学生

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Edureka

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