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Salesforce Agentforce: Multi-Agent Systems & Exam Prep
Coursera
Course
Unknown

Salesforce Agentforce: Multi-Agent Systems & Exam Prep

Edureka

This course covers designing, deploying, and governing production-ready AI agents with Salesforce Agentforce for real enterprise workflows.

Unknown3 weeksEnglish

About this Course

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

What You'll Learn

  • 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

Prerequisites

  • Basic familiarity with the topic and its common terminology
  • Readiness to practice through applied exercises or case-based work

Instructors

E

Edureka

Topics

Support and Operations
Information Technology
Design and Product
Computer Science
AI Orchestration
Agentic systems
AI Security
AI Workflows
Agentic Workflows
Prompt Patterns

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

دعم وتشغيل
تكنولوجيا المعلومات
تصميم المنتجات
علوم الحاسوب
تنسيق الذكاء الاصطناعي
أنظمة الوكلاء
أمن الذكاء الاصطناعي
سير العمل الذكي
Agentic Workflows
Prompt Patterns

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