Salesforce Certified AI Specialist Exam Prep *2025*

The Salesforce AI Specialist credential is intended for individuals who want to utilize generative AI within Salesforce. As an AI Specialist, you play an essential role in implementing and managing Einstein AI solutions. This certification is aimed at Salesforce Administrators, Developers, and Architects who work with standard AI capabilities and enhance them using tools like Copilot Builder, Prompt Builder, and Model Builder.

Audience Description: Salesforce AI Specialist

Candidates for the Salesforce Certified AI Specialist credential should have a good understanding of Salesforce’s core functionalities and be comfortable navigating the platform. This exam is designed for those who wish to demonstrate their knowledge, skills, or experience in the following areas:

• Understanding Salesforce Einstein’s features, capabilities, and components, including foundational AI concepts, large language models (LLMs), prompts, models, and tools.

• Familiarity with Salesforce Platform configurations, processes, and best practices, as well as the ability to build, configure, test, troubleshoot, and refine Einstein features like prompts and models.

• Proficiency in using Salesforce Einstein functionalities, including Sales emails, Service replies, Work Summary, Copilot Builder, Prompt Builder, and Model Builder, and the capability to implement and customize these features to meet specific business needs.

• Skill in navigating Salesforce tools and developing custom solutions, actions, or integrations within the Salesforce environment.

• Basic knowledge of AI concepts, such as predictive analytics, machine learning, natural language processing (NLP), computer vision, and Salesforce's trusted AI principles in CRM systems.

• Understanding the importance of data quality, preparation, and governance in AI model training and fine-tuning, as well as ethical data handling practices, including privacy, bias, security, and compliance.

• Ability to engage stakeholders in discussions on AI applications, identifying opportunities and challenges for AI-driven business improvements.

A candidate for this certification is not expected to:

• Have extensive knowledge of configuring and fine-tuning LLMs.

• Understand the basics of coding languages such as Apex or Python.

• Possess expertise in external AI tools.

• Understand transformer architecture.

• Perform return on investment (ROI) calculations.

• Understand white space analysis.

• Have experience with Marketing Cloud, Heroku, Commerce Cloud, MuleSoft, Tableau, Slack, Quip, or Industry Clouds.

Purpose of This Exam Guide

This exam guide is designed to help you determine if you are ready to complete the Salesforce Certified AI Specialist Exam successfully. It provides information about the target audience for the certification exam, recommended training and documentation, and a full list of exam objectives—all to help you achieve a passing score. Salesforce recommends a combination of hands-on experience, coursework, and self-study to increase your chances of passing the exam.

About the Exam

Here are the details of the Salesforce Certified AI Specialist Exam:

• Content: 60 multiple-choice questions

• Time allotted: 105 minutes

• Passing score: TBD%

• Registration fee: $200 USD plus applicable local taxes

• Retake fee: $100 USD

• Delivery options: Proctored exam available at testing centers or online in a proctored environment. For scheduling details, click here.

• References: No hard-copy or online materials are allowed during the exam.

• Prerequisite: None

Note: After completing the exam, but before receiving your results, you will be invited to take a brief 10-question survey about your experience. This feedback is valuable for improving the certification and Credentialing Program. The survey takes about 5 minutes.

Exam Outline

The Salesforce Certified AI Specialist Exam measures a candidate’s knowledge and skills related to the following objectives.

Einstein Trust Layer: 15%

• Identify the security, privacy, and grounding features of the Einstein Trust Layer.

• Implement and manage the Einstein Trust Layer.

Generative AI in CRM Applications: 17%

• Given a scenario, identify the correct generative AI feature in Einstein for Sales.

• Given a scenario, identify the correct generative AI feature in Einstein for Service.

Prompt Builder: 37%

• Given business requirements, identify when it's appropriate to use Prompt Builder.

• Identify the right user roles to manage and execute prompt templates.

• Identify the considerations for creating a prompt template.

• Given a scenario, identify the appropriate grounding technique.

• Explain the process for creating, activating, and executing prompt templates.

Einstein Copilot: 23%

• Given business requirements, identify when it's appropriate to use Einstein Copilot.

• Explain how the large language model (LLM) identifies and executes a copilot action.

• Leverage standard copilot actions and create custom copilot actions.

• Manage and monitor Copilot adoption.

Model Builder: 8%

• Given business requirements, identify when it's appropriate to use Model Builder.

• Configure standard, custom, and Bring Your Own Large Language Model (BYOLLM) generative models.