AI is transforming Salesforce! Join the Orlando Architect Group for a collaborative study group covering key AI concepts, capabilities, and ethical considerations in Salesforce. We’ll review content from Trailhead and prepare for the free Salesforce AI Associate certification. Open to admins, developers, and architects.

Agenda

Each session will be 60-90 minutes and will include a presentation, discussion, and an interactive quiz to reinforce learning. The content is presented by fellow learners.  The focus is on reviewing and studying the Trailhead content together.

Day 1: Certification Prep Overview, AI Fundamentals, AI Capabilities, Begin Ethical Considerations

1. Certification Prep Overview
• Introduction to the Salesforce AI Associate certification, including exam format, topics covered, and study approach.
• Overview of the Trailhead Trailmix and how it aligns with the exam objectives.
• Key study tips and resources to reinforce learning.
2. AI Fundamentals
• Understanding what Artificial Intelligence (AI) is and its core principles.
• Differentiating between types of AI, such as Machine Learning, Deep Learning, and Generative AI.
• Exploring key AI terminology and foundational concepts.
3. AI Capabilities in Salesforce
• Overview of Salesforce AI and its role within the platform.
• Understanding Einstein AI and its capabilities across different Salesforce products.
• Introduction to AI-powered tools, predictive analytics, and automation within Salesforce.

Day 1 Materials: 

• 🎥 Video: https://youtu.be/QaR5ULXMxbE 
• 📖 Slides: https://drive.google.com/file/d/1l9fk3c3yI97Dv12XfAF2SWAc9nqr3-L9/view 
• ⁉️ Self-Paced Quiz: https://ahaslides.com/AIDAY1 

Day 2: Complete Ethical Considerations and Data for AI

1. Ethical Considerations in AI 

• Introduction to AI Ethics and why it matters.

• Discussion on bias in AI and how it impacts decision-making.

• Considerations for responsible AI use in Salesforce.Reviewing the impact of data privacy, fairness, and transparency in AI models.
• Discussing guidelines for responsible AI implementation.
• Understanding the role of human oversight in AI-driven decisions.
2. Data for AI
• Importance of high-quality data for AI models.
• Understanding structured vs. unstructured data in AI applications.
• Key considerations for data governance, security, and compliance when using AI in Salesforce.