Salesforce Certified AgentForce Associate [WI 25]

Salesforce Certified AI Associate candidates should have a foundational knowledge of Salesforce's core capabilities and should be able to navigate Salesforce. The Salesforce Certified AI Associate Exam is for individuals who want to demonstrate knowledge, skills, or experience in the following areas.

• AI basics, its different types such as predictive analytics, machine learning, natural language processing (NLP), and computer vision

• Salesforce's Trusted AI Principles, particularly in the context of CRM systems like Salesforce and its suite of products

• The role of data quality, data preparation/cleansing, and data governance in training and fine-tuning AI models

• Ethical and responsible handling of data, including privacy, bias, security, and compliance considerations

• Ability to engage in meaningful discussions with stakeholders on how AI can be used to improve their business and differing scenarios, including identifying opportunities for AI-driven improvements and potential challenges

A candidate for this certification is not expected to:

• Understand how AI models are integrated with Salesforce workflows and the security considerations associated with AI data and models.

• Have an awareness of compliance requirements and data protection regulations in AI implementations.

• Know how to customize AI features such as tailoring AI models, creating custom predictions, or incorporating additional data sources into their AI solutions.

• Possess advanced knowledge of complex statistical techniques, advanced machine learning algorithms, or deep learning architectures.

• Possess expertise in advanced data science, AI research, custom model development, complex AI architecture design, or large-scale AI deployment.

• Have experience configuring or developing Salesforce products

Exam Outline

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

AI Fundamentals: 17%

AI Capabilities in CRM: 8%

Ethical Considerations of AI: 39%

Data for AI: 36%

Exam Candidate