Salesforce Certified AI Associate

As AI continues to penetrate our day to day lives, it is crucial to be aware of and address the concerns about potential ethical and privacy challenges, both as the makers and consumers of AI.

Salesforce Certified AI Associate certification is structured to highlight the importance of 'Ethical considerations of AI' and makes this topic the most weighted. The second most weighted topic is the 'Data for AI', emphasizing the importance of data quality and data management approach in AI implementation, preventing potential biases in the outcomes.

These topics are then followed by 'AI fundamentals' and 'AI capabilities in CRM', providing an all-encompassing guidance on developing AI responsibly.

Before you take the exam, understand these core concepts:

Ethical AI Practice Maturity Model.
Trusted AI Principles.
Salesforce guidelines to develop trusted Generative AI.
Data Privacy & Regulations - GDPR, CCPA, CPRA.
Types of Biases - Association, Confirmation, Automation, Societal, Survival, Interaction.
Datasets considerations for training AI models for Customer 360 platform.
Data Leakage & Disparate Impact.
Einstein Discovery - Use Cases, Objectives, Inputs, Insights.
Einstein Discovery Capacities & Requirements.
Truism of AI - If you cannot report on it, you cannot predict it.
Sales, Service, Marketing, Commerce, Developer use cases mapping to Einstein features.
NLP Techniques.
Inputs, Predictor Variables & Predictions.
Model Lifecycle & Model Performance Metrics.
Insight Types - Diagnostic, Comparative, Descriptive & Corroborative.
Data Visualization - Types & Usage of Charts.

In addition, understand the key statistical concepts - Aggregation types, correlation, regression, statistical distributions, variance, standard deviation, density curve, hypothesis testing.

Salesforce Certified AI Associate

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