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Salesforce Data Cloud (Data 360) Training

Original price was: $264.Current price is: $220.

Salesforce Data Cloud Training

With Agentforce, you can build agents that reason through tasks, take action inside your Salesforce org, and collaborate with humans across Sales, Service, Marketing, and Operations — without constant manual oversight.

This 10-day instructor-led Salesforce Agentforce training program is designed for Salesforce professionals who want to go beyond the basics. You’ll design, build, and deploy real AI agents using the Einstein 1 Platform — in a live sandbox environment, with a real instructor, across two focused working weeks.

Description

Starts: Monday, June 8, 2026 |  Duration: 10 Days  |  Format: Live Virtual (Zoom)  |  Schedule: Monday–Friday, 2 Hours/Day  |  Fee: $200 USD

Salesforce Data Cloud, sometimes referred to as Data 360, is Salesforce’s real-time data platform that unifies customer data from any source — CRM, marketing, commerce, third-party, and streaming — into a single, harmonised customer profile. It resolves identities across fragmented data, generates calculated insights, and activates that intelligence directly into Salesforce Clouds and external destinations. Data Cloud is the foundation that makes Salesforce’s Einstein AI capabilities meaningful at scale — because AI is only as good as the data it operates on.

Salesforce Data Cloud is natively embedded in the Salesforce platform — meaning unified profiles, segments, and insights are immediately available to Sales Cloud, Service Cloud, Marketing Cloud, and Agentforce, with no complex middleware required.

Course Objectives

By the end of this Salesforce Data Cloud training program, you will be able to:

  • Understand Data Cloud architecture, terminology, and core components
  • Ingest, map, and transform data from multiple internal and external systems
  • Build and manage Data Model Objects (DMOs) for scalable data modelling
  • Configure identity resolution to generate unified Golden Profiles
  • Create calculated insights, segments, and audiences for analytics and personalisation
  • Activate data to Salesforce CRM, Marketing Cloud, Commerce Cloud, and external destinations
  • Configure admin capabilities, governance, security, and pipeline monitoring
  • Prepare for the Salesforce Certified Data Cloud Consultant exam

Who This Training Is For

This Salesforce Data 360 training is designed for practitioners who work with Salesforce and want to build real implementation skills. You’ll get the most from the program if you have:

  • Basic Salesforce Admin or Developer knowledge
  • An understanding of data models, integrations, or ETL concepts
  • Familiarity with Salesforce CRM objects
  • Access to a Data Cloud-enabled Developer Org or Sandbox

Certification alignment: This program directly supports preparation for the Salesforce Certified Data Cloud Consultant exam

Data Cloud (Data 360) Training Curriculum: 9 Modules Over 10 Days

Module 01:Data Cloud Kickoff & Setup

Establish the Data Cloud ecosystem — what it is, how it fits within Salesforce, and how to set up your environment for hands-on work.

  • Data Cloud overview and real-world use cases
  • Key concepts: Data Lakehouse, Harmonisation, DMOs
  • Data Cloud architecture and integration patterns
  • Setup prerequisites and permission models
  • Data Cloud provisioning and configuration
  • Data Spaces, Data Kits, and standard models

Module 02: Data Ingestion

Every ingestion method available — from file uploads and native connectors to real-time streaming APIs — plus how to troubleshoot when things go wrong.

  • Ingestion methods: File, Connector, API, and Streaming
  • Connectors: Salesforce CRM, Marketing Cloud, Snowflake, AWS, Azure, Google Cloud
  • Creating Data Streams (hands-on lab)
  • Monitoring ingestion pipelines
  • Troubleshooting ingestion failures and mapping errors

Module 03: Data Modelling

How you model your data determines how useful Data Cloud becomes. This module covers DMOs in depth — standard vs custom, relationship types, and scalable architecture decisions.

  • Understanding Data Model Objects (DMOs)
  • Standard vs Custom DMOs
  • Data model packages: Profiles, Products, Interactions, Engagements
  • Mapping external data to DMOs
  • Relationship types: 1:1, 1:many, many:many
  • Best practices for scalable and efficient modelling

Module 04: Identity Resolution – Part 1

The same customer appears across your CRM, e-commerce, and marketing platform under different IDs. Identity resolution is how Data Cloud stitches them into one unified profile.

  • Introduction to identity stitching
  • Deterministic vs probabilistic matching
  • Match keys, match rules, and confidence scores
  • Profile unification basics
  • Hands-on: Configuring basic identity resolution

Module 05: Identity Resolution – Part 2

Advanced strategies, conflict handling, and the end goal of every Data Cloud implementation: the Golden Profile.

  • Advanced identity resolution strategies
  • Resolution rules and rule weights
  • Conflict handling and profile merge logic
  • Golden Profile creation and quality scoring
  • Monitoring identity jobs and troubleshooting duplicate patterns

Module 06: Insights (Calculated Insights)

Raw unified profiles are powerful — calculated insights make them actionable. Write SQL in Data Cloud, build KPIs, and publish metrics that feed directly into segmentation.

  • Introduction to Calculated Insights
  • Using SQL in Data Cloud (Data Explorer)
  • Windowing functions, aggregations, and time-based metrics
  • Hands-on: RFM scores, churn signals, propensity indicators, lifetime value
  • Publishing insights for segmentation and activation

Module 07: Segmentation

Segments translate unified data into targeted audiences — in real time. From attribute-based filtering to predictive and lookalike segmentation.

  • Difference between Segments and Audiences
  • Real-time segmentation engine
  • Building attribute, behaviour, and event-based segments
  • Lookalike and predictive segmentation
  • Hands-on: Real-time and batch-powered segments
  • Troubleshooting segment evaluation errors

Module 08: Activation

Insights and segments only create value when they reach the right system at the right moment. This module covers pushing unified data across the full Salesforce ecosystem and beyond.

  • What is activation in Data Cloud?
  • Activation to Salesforce CRM (Contacts, Leads, Person Accounts)
  • Activation to Marketing Cloud, Commerce Cloud, and external REST endpoints
  • Attribute vs identity-based activation
  • Mapping, publishing, and monitoring activation jobs
  • Troubleshooting activation errors

Module 09: Administration, Governance & Exam Preparation

Tie everything together — securing and governing your Data Cloud implementation, optimising performance, and preparing for the Salesforce Certified Data Cloud Consultant exam.

  • Security and permission configuration
  • Data governance and compliance
  • Monitoring ingestion, identity, and activation pipelines
  • Org strategy for multi-market or multi-brand models
  • Performance optimisation
  • Exam preparation: key topics, question patterns, and revision strategy

Data Cloud  (Data 360) Training Program Details at a Glance

  • Duration: 10 days (Monday to Friday, weekends and public holidays off)
  • Daily time commitment: 2 hours per day
  • Delivery: Live instructor-led virtual sessions via Zoom
  • Fee: $200 USD (one flat fee, no hidden costs)
  • Must have:
    • Basic Salesforce Admin or Developer knowledge
    • Understanding of data models, integrations, or ETL concepts
    • Familiarity with Salesforce CRM objects
    • Access to a Data Cloud-enabled Developer Org or Sandbox
  • Included: Lab access, live Q&A, and all Data Cloud training resources to refer after the course

What Our Learners Say

★★★★★

“I came in knowing Salesforce admin basics but had never touched Data Cloud. By Module 4 I genuinely understood identity resolution — not just conceptually, but how to configure it. That’s rare in online training.” – Shekhar S., Salesforce Admin, Retail

★★★★★

“The Calculated Insights module is worth the entire fee on its own. Writing SQL inside Data Cloud, building RFM scores and churn signals hands-on — I immediately applied that in my client’s org the following week.” – Lalitha L. Salesforce Consultant, Financial Services

★★★★★

“We enrolled three of our developers together. By the end of Module 8 we had a full activation pipeline running from Data Cloud into Marketing Cloud. The course doesn’t just teach you the platform — it teaches you how to ship.” – Gracy Thomas, Lead Salesforce Developer, E-commerce

Frequently Asked Questions

What is Salesforce Data Cloud?

Salesforce Data Cloud is a real-time data platform — sometimes called Data 360 — that unifies customer data from any source into a single, harmonised customer profile. It resolves identities across fragmented systems, generates calculated insights, and activates that intelligence into Salesforce Clouds and external destinations. It is the data foundation that powers Einstein AI across the entire Salesforce platform.

What is the difference between Data Cloud and a traditional CDP?

A traditional CDP is a standalone tool that sits outside your CRM. Salesforce Data Cloud is natively embedded in the Salesforce platform, meaning unified profiles, segments, and insights are immediately available to Sales Cloud, Service Cloud, Marketing Cloud, and Agentforce — with no middleware. It also combines Data Lakehouse architecture with real-time streaming, which most legacy CDPs cannot match.

Do I need prior Salesforce experience to join?

Participants should have basic Salesforce Admin or Developer knowledge, an understanding of data models or ETL concepts, and familiarity with Salesforce CRM objects. Module 1 establishes the Data Cloud foundation for everyone before the hands-on implementation modules begin.

How long is the course and how is it delivered?

The program runs for 10 weekdays (Mon–Fri, weekends off), 2 hours per day, delivered live via Zoom with an instructor. That’s 20 hours of focused, hands-on learning across two working weeks.

What does the program cost?

The full Salesforce Data Cloud training program is $200 USD — covering all 9 modules, live Zoom sessions, hands-on lab access, and all course materials and Data Cloud training resources to keep.

Does this prepare me for the Data Cloud Consultant certification?

Yes. The curriculum is structured around the architecture, configuration, and implementation skills assessed in the Salesforce Certified Data Cloud Consultant exam. Module 9 includes dedicated exam preparation covering key topics, question patterns, and a focused revision strategy.

Is this Salesforce Data 360 training available online?

Yes — this is a fully online program. All sessions are delivered live via Zoom, Monday through Friday for 10 days. There’s no in-person component, making it accessible from anywhere.

 

10 days. $200. Your Data Cloud certification journey starts here. Join the next cohort building production-ready Salesforce Data Cloud implementations. Live virtual, real labs, real results. Email salesforce@cloudely.com

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Salesforce Data Cloud (Data 360) Training

Original price was: $264.Current price is: $220.

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