Cover image for Practical Salesforce Agentforce Playbook

Practical Salesforce Agentforce Playbook

Design, build, and deploy enterprise-grade AI agents with Salesforce Agentforce and Data Cloud

LM

Created by Lars Malmqvist

Discover how to design, build, and deploy enterprise-grade AI agents using Salesforce Agentforce and Data Cloud. Gain hands-on experience with real-world scenarios and proven patterns to automate complex workflows and deliver business value across your organization.

Packt | Apr 2026 | 298 min

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LevelIntermediate
CategoriesLLM Engineering, Autonomous Systems and Robotics Software Development, C/C++

What You Will Learn

You will work through step-by-step projects that cover everything from setting up your environment to building and deploying production-ready AI agents. Along the way, you will apply architecture patterns, use professional tools, and explore advanced integrations to ensure your solutions are robust and scalable.

Key Features

  • Create intelligent AI agents that reason and act using Agent Builder and Atlas Reasoning Engine
  • Extend and secure agents with Flow, Apex, Data Cloud, and the Einstein Trust Layer
  • Deploy, monitor, and optimize agents at scale using DevOps practices and analytics

Target Audience

Ideal for Salesforce developers, architects, and experienced admins who want to build autonomous AI agents. If you are comfortable with the Salesforce platform, low-code tools, and have some knowledge of Apex or DevOps, you will find actionable strategies to scale intelligent automation. Consultants and enterprise AI practitioners will also benefit from practical implementation patterns.

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