Salesforce Certified Data Cloud Consultant

What you’ll work through

A curriculum built around decisions, practice, and results.

Each session connects official objectives to a practical scenario. You’ll see the pattern, build it in a guided org, and leave with a way to apply it on the job.

1. 01

   Data foundations and context

   Understand the records, signals, personas, and industry context that make a Salesforce solution useful.

   Hands-on practice: Map source data to the customer or learner journey it needs to support.

2. 02

   Use cases and trust

   Choose high-value AI or industry use cases while addressing privacy, security, bias, governance, and human oversight.

   Hands-on practice: Score a set of use cases against value, readiness, and responsible-use criteria.

3. 03

   Build and activate

   Configure the data, prompts, agents, journeys, or industry capabilities needed to move from concept to working experience.

   Hands-on practice: Build a guided scenario and validate its output with a human reviewer.

4. 04

   Adoption and operating model

   Plan enablement, measurement, change management, and iteration so the solution creates durable value.

   Hands-on practice: Create a 30-day adoption plan with success measures and guardrails.

5. 05

   Readiness and next steps

   Connect the practical work to official objectives, confidence gaps, and a focused plan for continued study.

   Hands-on practice: Complete a scenario review and leave with a personalized next-step checklist.