Historical Salesforce AI Associate: AI, ethics, and data

Objectives and progression

Independent historical course with six modules and 36 original decisions. Connects AI task selection, CRM scoring and classification, five Trusted AI Principles, human oversight, data preparation, and operational acceptance. Fictional cases cover handover, support routing, shift representation, internal information, and data contracts. The internal 24-decision assessment in 45 minutes reuses course items. AI Associate certification retired on 2026-02-02; its last examination date was 2025-05-01. This course retains the Spring 24 syllabus for historical learning. Agentblazer and Agentforce Specialist are alternatives mentioned by the provider, not an automatic conversion or qualifications awarded by dr.pt.

Audience: Business professionals, administrators, support teams, and managers assessing responsible CRM AI use.

Prerequisites: Basic CRM and data familiarity. The historical exam required no prior certification; model development is not required for this course.

255 estimated study minutes

• Distinguish prediction, classification, and generation by linking each output to acceptance criteria.
• Connect scoring and classification to measurable benefits and automation limits.
• Apply the five Trusted AI Principles to accountability, explanation, and inclusion.
• Define review, fallback, and data boundaries that work when AI fails.
• Separate completeness, accuracy, consistency, and freshness before preparing AI data.
• Detect future information, unsuitable transformations, and training-production differences.

Modules

1. Choose the AI task and quality evidence
2. CRM capabilities, recommendations, and actions
3. Trust principles and real consequences
4. Human oversight and response to AI failures
5. Data quality, meaning, and identity
6. Available inputs, evaluation, and operational contract

Continue learning

Service / Enterprise platforms

• Salesforce Certified Platform Administrator
• AWS Certified AI Practitioner
• DP-900: Azure Data Fundamentals
• Technical Project Manager

References and version

AI Associate historical Spring 24; retired 2026-02-02

• Historical Salesforce AI Associate Exam Guide · 2026-10-01
• AI Associate Certification Retirement FAQ · 2026-10-01
• Get Started with Artificial Intelligence · 2026-10-01
• Discover AI Techniques and Applications · 2026-10-01
• Assess the Quality of Data · 2026-10-01
• Learn About Einstein Classification Apps · 2026-10-01
• Enable and Use Einstein Classification Apps · 2026-10-01
• Einstein Lead Scoring · 2026-10-01
• Meet Salesforce Trusted AI Principles · 2026-10-01
• Salesforce Trusted AI · 2026-10-01
• How Salesforce Builds Trusted AI · 2026-10-01
• Data Ethics Privacy and Practical Implementation · 2026-10-01
• Recognize Bias in Artificial Intelligence · 2026-10-01
• Remove Bias from Data and Algorithms · 2026-10-01
• Dividing the Original Dataset · 2026-10-01
• Monitoring Production ML Pipelines · 2026-10-01