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Agentforce + Salesforce Data Cloud Training focuses on Salesforce AI, automation & data integration, helping learners master intelligent workflows, data modeling & next-gen CRM capabilities. The program teaches how to build AI-powered customer experiences using Agentforce & manage scalable data using Salesforce Data Cloud. This training is important because AI-driven automation & unified customer data are now essential for modern Salesforce implementations. Ideal for Salesforce Administrators, Developers, AI/Automation Engineers & professionals aiming to upskill in Salesforce’s latest AI ecosystem.
Duration of Training : 60 Hours
Batch type : Weekdays/Weekends
Mode of Training : Classroom/Online/Corporate Training
Curriculum Designed by Experts
Topics
What is Salesforce Agentforce?
Einstein 1 Platform Overview
Architecture of Agentforce + Data Cloud
Where Agentforce fits in CRM, automation & gen-AI
Use cases for Sales, Service, Marketing & Field Ops
Assignments
Draw Agentforce architecture and components
Identify business use cases for Agentforce & Data Cloud
Topics
Data Cloud Terminology (Data Streams, Ingestion, DMO, ID Graph)
Unified Profiles & Identity Resolution
Data Cloud Object Model
Ingestion types: Batch, Streaming, CDC, Connectors
Data Cloud Permissions & Security
Labs
Create a Data Cloud environment
Configure data permissions & sharing
Topics
Ingesting data from Salesforce Ingesting data from external sources: AWS S3, Azure, APIs Mapping data to Data Model Objects (DMO) Primary Profiles & Secondary Profiles Calculated Insights & Aggregations
Labs
Build data streams from Salesforce & S3
Create DMO mappings
Create a Calculated Insight
Topics
Match Rules & Resolution Rules
Golden Record creation
Deterministic vs Probabilistic matching
Unified Customer Profile creation
Labs
Configure identity resolution Create unified customer profiles
Topics
Segments (batch, real-time)
Filters, rules & conditions
Export segments to Marketing Cloud / Ad platforms
Activation channels (Sales, Service, Tableau, Snowflake)
Labs
Build behavioral segments
Activate segments to Salesforce CRM
Topics
What are AI Agents?
Agentforce Architecture
Policy Management & Guardrails
Prompt Templates & Prompt Builder
Skills, Actions & Knowledge Sources
AI Trust Layer – Safety, governance & compliance
Assignments
Create prompt templates
Define guardrails for Service Agents
Topics
Creating Flow-Based Agents Creating LLM Agents Multi-step Agents & Skill Chaining Enterprise Knowledge Integration Context windows & memory Error handling & fallback flows
Labs
Build a support agent to handle ticket classification
Build a sales agent that recommends next best actions
Topics
Agent Actions (custom + standard)
Use Cases (CRM updates, troubleshooting, lookup, email, etc.)
Integrating Agents with:
Salesforce Flow Apex Classes MuleSoft APIs
Retrieving data from Data Cloud into Agents
Labs
Build custom agent actions using Apex
Connect agents with Data Cloud segments
Topics
Einstein Copilot vs Agentforce Copilot Builder
Copilot Actions Using Data Cloud as context for Copilot
Copilot for Sales, Service & Marketing Testing & validating Copilots
Labs
Build a Copilot that retrieves customer insights from Data Cloud
Topics
Vector Databases in Data Cloud
Knowledge articles vectorization
Retrieval Augmented Generation (RAG) inside Salesforce
Semantic Search setup
Labs
Build a vector index using knowledge articles
Create a RAG-based support agent
Topics
Data Cloud security Shield + Trust Layer
Audit Trail Guardrails for AI outputs Agent Policies (PII, toxicity, hallucination prevention)
Labs
Create data sharing rules for Data Cloud
Apply Agentforce security guardrails
Topics
Monitoring ingestion jobs
Data Cloud optimizer
Agent performance & logs
Error monitoring & troubleshooting
Scaling Streams & CDC integrations
Labs
Monitor ingestion logs
Diagnose agent flow failures
Topics
Package & deploy Data Cloud resources
Deploy Agentforce Agents using:
Change Sets
Salesforce CLI
DevOps Center
CI/CD for Data Cloud + Agentforce
Labs
Export/Import Data Streams
Deploy Agents to Sandbox/Production
Project 1: Customer 360 Unified Profile system
Ingest data from CRM + S3
Create unified profiles & insights
Display insights to agents via Copilot
Project 2: AI Support Agent (Agentforce)
Auto-classify tickets
Suggest knowledge articles
Execute actions like reset password, update case
Project 3: Sales Intelligence Engine
Data Cloud Segmentation
Next Best Oger (NBO) Engine
Agentforce recommendations
Project 4: Marketing Personalization Platform
Build dynamic segments
Activate into Marketing Cloud Run personalized journeys
70+ Assignments
15 Hands-on Labs
3 Complete Projects
Data Cloud + Agentforce Interview Dumps
Architecture Diagrams & Flow Templates
Admin + Developer combined workbook
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