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Salesforce Data 360 (Data Cloud): Build End-to-End Solutions
Rating: 4.8 out of 5(3 ratings)
24 students
Created byCosmin Aron
Last updated 4/2026
English

What you'll learn

  • Configure a Production-like Data Cloud Playground
  • Ingest, Model, and Unify Customer Data
  • Derive Insights and Predictions from Unified Data
  • Activate Audiences and Enrich Salesforce with Data Cloud

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Course content

9 sections • 35 lectures • 5h 13m total length

  • Course Introduction & The NexaDrive Motors Story7:13

    Learners will familiarise themselves with the structure and the content of this course.

  • What is Salesforce Data Cloud4:02

    Leaners will be able to explain in simple terms what Salesforce Data Cloud is.

  • Data Cloud Architecture & Where Our Data Fits3:22

    Leaners will be able to understand the medallion architecture of Salesforce Data Cloud.

Requirements

  • No prior Salesforce Data Cloud experience required, everything is explained step-by-step.

Description

This course contains the use of artificial intelligence.

Salesforce just renamed Data Cloud to Data 360. The architecture hasn't changed — but the stakes have. This is the only hands-on course that takes you from raw data ingestion to a unified profile that powers Agentforce AI agents.

What you'll build:

You'll construct a complete Data 360 solution from a clean Developer Edition org using real cloud storage - Amazon S3 and Google Cloud Storage - as your ingestion sources. You'll model data to standard and custom Data Model Objects (DMOs), harmonise inconsistent values across systems, and configure an Identity Resolution ruleset with match and reconciliation rules to produce a single Unified Profile per customer.

From there, you'll build a calculated insight for delinquency risk and train an Einstein AI model to predict which finance agreements are likely to default - then evaluate, activate, and surface those predictions directly inside Salesforce CRM using enrichment components, copy-field enrichments, and related lists.

Finally, you'll design powerful segments and activate them to external destinations — giving your organisation a complete, Agentforce-ready data activation layer.


Who this is built for:

Salesforce Architects and Consultants preparing for the Data 360 / Agentforce 360 transition

Data Engineers building real multi-source ingestion pipelines (S3, GCS)

Admins and RevOps professionals who want to build segments and activations, not just read about them

Anyone who has watched a Data Cloud demo and thought, "but how do I actually build this?


No coding required. No prior Data 360 or Data Cloud experience needed. Just bring a laptop and the willingness to build something real.

Who this course is for:

  • This course is for you if you work with customer data and want to turn Salesforce Data Cloud into something practical, not just theory.
  • Salesforce Admins who want to understand how Data Cloud fits into your existing org
  • Data & Analytics Practitioners Working in the Salesforce Ecosystem
  • Product Owners & Stakeholders Evaluating Data Cloud
  • Best suited for beginner-to-expert Data Cloud learners.

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