Description

Einstein AI for Salesforce is an integrated suite of artificial intelligence capabilities built directly into the Salesforce platform. It enables organizations to leverage machine learning, natural language processing, and predictive analytics to automate tasks, gain insights, personalize customer experiences, and improve decision-making across Sales, Service, Marketing, and Commerce. Einstein AI includes features like Einstein Prediction Builder, Einstein Discovery, Einstein Bots, and generative AI capabilities through Einstein Copilot

Learner Prerequisites

Basic understanding of Salesforce platform (Sales Cloud/Service Cloud)
Familiarity with CRM concepts and business workflows
Basic knowledge of data handling and reporting in Salesforce
Understanding of automation tools like Flows or Process Builder (preferred)
No prior AI/ML experience required, but basic awareness is beneficial

1. Introduction to Einstein AI
1.1 Overview of Artificial Intelligence in CRM
1.2 Evolution of Salesforce Einstein
1.3 Key Features and Capabilities
1.4 Use Cases Across Industries

2. Einstein AI Core Components
2.1 Einstein Prediction Builder
2.2 Einstein Discovery
2.3 Einstein Next Best Action
2.4 Einstein Bots
2.5 Einstein Copilot and Generative AI

3. Data Preparation for AI
3.1 Understanding Data Quality and Data Sources
3.2 Data Cleaning and Transformation
3.3 Data Integration in Salesforce
3.4 Data Governance and Security

4. Building AI Models with Einstein
4.1 Creating Predictions using Prediction Builder
4.2 Model Training and Evaluation
4.3 Interpreting Predictions and Insights
4.4 Deployment of AI Models

5. Einstein Discovery Deep Dive
5.1 Story Creation and Data Analysis
5.2 Understanding Insights and Explanations
5.3 Predictions and Recommendations
5.4 Embedding Insights into Salesforce

6. Automation with Einstein AI
6.1 Integrating AI with Salesforce Flow
6.2 Automating Business Processes
6.3 Trigger-Based Predictions
6.4 Real-Time Decision Making

7. Einstein Bots and Conversational AI
7.1 Introduction to Einstein Bots
7.2 Designing Bot Conversations
7.3 Integrating Bots with Service Cloud
7.4 Enhancing Customer Support with AI

8. Einstein Copilot and Generative AI
8.1 Overview of Generative AI in Salesforce
8.2 Prompt Builder and Use Cases
8.3 Copilot for Sales, Service, and Marketing
8.4 Responsible AI and Trust Layer

9. Analytics and Reporting with Einstein
9.1 AI-Powered Dashboards
9.2 Predictive Analytics in Reports
9.3 Custom Insights and KPIs
9.4 Monitoring Model Performance

10. Security, Ethics, and Governance
10.1 Data Privacy and Compliance
10.2 Ethical AI Practices
10.3 Bias Detection and Mitigation
10.4 Salesforce Trust Layer

11. Real-World Implementation Scenarios
11.1 Sales Forecasting and Lead Scoring
11.2 Customer Service Automation
11.3 Marketing Personalization
11.4 Case Studies and Best Practices

12. Deployment and Maintenance
12.1 Deployment Strategies
12.2 Monitoring and Optimization
12.3 Troubleshooting Common Issues
12.4 Continuous Improvement

13. Performance Monitoring & Optimization
13.1 Monitoring AI Model Performance
13.2 Continuous Improvement
13.3 Troubleshooting