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Sunday, March 22, 2026

Salesforce Data Cloud – Professional Course Curriculum (Total Duration: 36 Hours)

 

๐Ÿ”ฐ Module 1: Introduction to Salesforce Data Cloud (2 Hours)

  • Overview of Salesforce Data Cloud
  • Architecture & Evolution
  • Key Business Use Cases
  • Benefits for Enterprises

๐ŸŽฏ Outcome: Understand how Data Cloud enables unified customer data strategy.


๐Ÿ“Š Module 2: Data Cloud Fundamentals (3 Hours)

  • Data Models (DMOs) – Standard & Custom
  • Data Bundles Explained
  • DMO vs Data Bundle Clarification
  • Unified Profiles
  • Data Governance Basics

๐ŸŽฏ Outcome: Build strong foundation in Data Cloud structure and concepts.


๐Ÿ”„ Module 3: Data Integration & Ingestion (4 Hours)

  • CRM & External System Integration
  • Batch vs Real-Time (Streaming) Data
  • Data Streams Setup
  • Monitoring & Troubleshooting

๐ŸŽฏ Outcome: Learn to ingest and manage data from multiple sources.


๐Ÿงฉ Module 4: Data Modeling & Harmonization (4 Hours)

  • Data Mapping Techniques
  • Transformation Rules
  • Harmonization & Normalization
  • Data Modeling Best Practices

๐ŸŽฏ Outcome: Create clean, standardized, and usable datasets.


๐Ÿง  Module 5: Identity Resolution & Profile Unification (4 Hours)

  • Matching Rules & Identity Resolution
  • Identity Graph Concepts
  • Profile Unification Process
  • Testing & Validation

๐ŸŽฏ Outcome: Build a single source of truth for customer data.


๐Ÿ“ˆ Module 6: Calculated Insights & Segmentation (4 Hours)

  • SQL-Based Insights & KPIs
  • Batch & Real-Time Segmentation
  • Advanced Audience Segmentation

๐ŸŽฏ Outcome: Generate actionable insights for business decisions.


๐ŸŽฏ Module 7: Data Activation & Personalization (4 Hours)

  • Activation in Sales, Marketing & Service Clouds
  • Journey Builder Integration
  • Real-Time Personalization Use Cases

๐ŸŽฏ Outcome: Turn data into customer engagement strategies.


๐Ÿค– Module 8: Search, AI & Advanced Data Capabilities (4 Hours)

  • Einstein AI Integration
  • Hybrid & Vector Search
  • Embeddings (Conceptual Overview)
  • Custom Indexing & Enterprise Search

๐ŸŽฏ Outcome: Leverage AI-powered insights and search capabilities.


๐Ÿ” Module 9: Security, Compliance & Governance (2 Hours)

  • Data Security Models
  • Consent Management
  • GDPR & Compliance Standards
  • Access Control & Auditing

๐ŸŽฏ Outcome: Ensure secure and compliant data operations.


Module 10: Performance Optimization & Best Practices (2 Hours)

  • Data Volume Management
  • Query Optimization
  • Storage & Scalability
  • Monitoring Tools

๐ŸŽฏ Outcome: Optimize system performance for enterprise scale.


๐Ÿฆ Module 11: Industry Use Cases & Case Studies (3 Hours)

  • Banking & Financial Services
  • Retail & eCommerce
  • Healthcare
  • Telecom
  • Enterprise Data Strategies

๐ŸŽฏ Outcome: Apply concepts to real-world business scenarios.


๐Ÿงช Module 12: Hands-On Project & Certification Prep (4 Hours)

  • End-to-End Data Cloud Implementation Project
  • Solution Design Approach
  • Certification Preparation
  • Mock Tests & Practice Questions

๐ŸŽฏ Outcome: Job-ready skills + certification readiness.


๐Ÿข How Eduarn LMS Delivers This Course

๐ŸŽฏ Corporate Training (Enterprise Teams)

  • Customized modules based on industry (Banking, Retail, Healthcare)
  • Instructor-led live sessions + recordings
  • Hands-on labs with real-time scenarios
  • Progress tracking dashboards & reports
  • Integration with corporate LMS
  • Certification & skill assessment

๐ŸŽ“ Retail Training (Individuals / Professionals)

  • Self-paced + live hybrid model
  • Real-world assignments & guided projects
  • Mentor support & doubt sessions
  • Resume + portfolio building
  • Certification guidance

๐Ÿ’ก Eduarn LMS Key Features

  • Centralized learning platform
  • Interactive quizzes & assessments
  • AI-driven learning paths
  • Mobile-friendly access
  • Automated certification
  • Scalable for trainers, coaches, and enterprises

๐Ÿš€ Program Outcome

After completing this course, learners will:
✔️ Master Salesforce Data Cloud architecture
✔️ Build unified customer profiles
✔️ Perform advanced segmentation & insights
✔️ Implement AI-driven data strategies
✔️ Deliver real-world enterprise data solutions

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