A structured curriculum covering ethical AI, data for AI, AI capabilities in CRM, and Salesforce AI fundamentals for the Salesforce AI Associate certification.
This guide works best as a loop: read a chapter, test yourself with practice questions, look up unfamiliar terms in the glossary, then move to the next chapter.
15 chapters covering every exam objective. Each chapter includes key concepts, exam tips, common traps, comparison tables, and a 5-question quiz at the end.
Start Chapter 1Free timed and untimed practice with instant feedback and full explanations. Pick 10–120 questions per session. Filter by domain to drill your weak areas.
Go to practice testEvery AI Associateterm defined and searchable. Use it when a chapter mentions a concept you haven't seen before or want a quick refresher on.
Browse glossaryExam blueprint, domain weights, passing score, duration, cost, and registration links. Start here if you're new to this certification.
View exam guideIntroduction to Artificial Intelligence and Ethical Principles
Objective 1.1 · Define artificial intelligence and its ethical implications in business.
Responsible AI Principles: Trust, Fairness, and Accountability
Objective 1.2 · Describe responsible AI principles including fairness, accountability, and transparency.
AI Governance and Regulatory Compliance
Objective 1.3 · Explain AI governance frameworks and regulatory compliance requirements.
Bias Detection and Mitigation in AI Models
Objective 1.4 · Identify sources of bias in AI systems and strategies to mitigate them.
Data Quality, Cleaning, and Preparation for AI
Objective 2.1 · Describe the importance of data quality and how to prepare data for AI models.
Data Privacy and Security for AI
Objective 2.2 · Explain data privacy principles and security considerations when using data for AI.
Integrating External and Internal Data Sources for AI
Objective 2.4 · Explain how to integrate diverse data sources to support AI model training and inference.
Overview of AI Capabilities in CRM
Objective 3.1 · Identify key AI capabilities within CRM systems and their business applications.
AI Features for Sales, Marketing, and Service
Objective 3.2 · Describe AI-driven features for sales forecasting, marketing personalization, and service automation.
Salesforce Einstein Platform: Architecture and Capabilities
Objective 4.1 · Explain the Salesforce Einstein platform architecture and core AI capabilities.
Einstein AI Tools: Prediction, Recommendations, and Next Best Action
Objective 4.2 · Describe Einstein prediction builder, recommendation builder, and next best action features.
Implementing Einstein Solutions: Setup, Configuration, and Best Practices
Objective 4.3 · Explain how to set up, configure, and optimize Einstein AI solutions for business use cases.
Applying Ethical AI Practices in Real-World Scenarios
Objective 1.5 · Demonstrate application of ethical AI principles in practical business scenarios.
Data Governance Frameworks for AI Projects
Objective 2.5 · Describe data governance frameworks that ensure compliance and quality for AI initiatives.
Einstein Analytics: AI-Driven Insights and Dashboards
Objective 4.4 · Explain how Einstein Analytics provides AI-driven insights and visualizations.
Free AI Associate practice questions with full explanations. Test what you learn chapter by chapter.
AI Associate Practice Questions