Salesforce Agentforce: Build & Deploy Intelligent Agents

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Salesforce Agentforce: Build & Deploy Intelligent Agents

Coursera · Beginner ·🤖 AI Agents & Automation ·5mo ago

Key Takeaways

Builds and deploys intelligent agents using Salesforce Agentforce with structured prompting and multi-agent coordination

Original Description

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.
AI explanation not available for this lesson yet
This lesson is still being prepared for the AI tutor. In the meantime, explore lessons that are ready.
Browse explainer-ready lessons →

Related Reads

📰
Jev for Agent Authorization: The Ultimate Guide to Real-Time Tool-Call Checks with Kinde
Learn how to implement real-time tool-call checks with Jev for agent authorization, enhancing AI application security
Medium · Cybersecurity
📰
Jev for Agent Authorization: The Ultimate Guide to Real-Time Tool-Call Checks with Kinde
Learn how to implement real-time tool-call checks with Jev for agent authorization, enabling secure and efficient AI applications
Medium · LLM
📰
JevCases — Your Agent's Free-Text Output Is an API You Never Designed
Learn how to treat your agent's free-text output as an API and leverage it for more efficient interactions
Dev.to · ruixuan jiang
📰
The agent host didn't have the lifecycle boundaries I assumed
Learn to set boundaries for agent lifecycles to ensure efficient task management
Dev.to · Michael Truong
Up next
What are Persistent Agents? #agenticai #artificialintelligence
Rajeev Kanth | BEPEC
Watch →