Agentforce Specialist (Agentforce 360)

• AI fundamentals
• Generative AI Basics and NLP
• LLM (Intro to Large Language Models)
• Data fundamentals for AI and CRM
• Einstein Trust Layer

• AI Agents - 35%
• Prompt Engineering: 20% of the exam
  
  • Prompt builder
          Prompt Templates
          Hands on —> Design Prompt Templates

• Data Cloud for Agentforce: 20% of the exam

• Development Lifecycle: 20% of the exam

• Multi Agent Interoperability: 5% of the exam

• Evolution and Transformation of Agentic AI      

• Agentforce Fundamentals

• Configuring an Agent
       Choose Agent Type and Channel
       Classifying and Scoping Topics
       Writing Instructions
       Guardrails

• Agent Actions
• Structuring responses with prompt Templates
• Powering Agents with Data

• Preparing Data for Agentforce
        Applying Variables and Filters

• Agentforce Architecture
        Fundamentals
        Retrievers (RAG)
        Reasoning, Decision Making and Learning
        Atlas Reasoning engine

• Agent Governance
• Agent Lifecycle

• Preparing For Agentforce
         Build An Employee Agent
          A Service Agent
  

• Build an Impactful Business Case
         Build your final Agent
         Test, Iterate, and Deploy

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Data 360 (Data Cloud)

• Introduction to Data Cloud
  
  • What is Data Cloud?
  • Problems solved by Salesforce Data Cloud addition to salesforce ecosystem
  • SDC benefits in Business
  • How does a Data Cloud work?
    

• Data Cloud Setup and Administration
  
  • Setup Data Cloud
  • Connecting data sources
  • What is Data Stream?
  • Create Data Stream in Data Cloud
  • What is Data Normalization?

• Data Ingestion and Data Modelling
  
  • Data Source Object, Data Lake Object
  • Data Spaces
  • Connecting Data Sources with Data Cloud
    
  • Create Amazon S3 Account & Upload Files in Amazon S3
  • Create Connection b/w Amazon S3 and Salesforce
  • Create Data Stream and Map your DLO
  • What is Data Ingestion and modelling?

• Identity Resolution Process in Data Cloud
  
  • Data and Identity in Data Cloud
  • Calculated Insights
  • What are Matching Rules?
  • Create Matching Rules

• Segmentation and Insights
  
  • Enhance Data with Insights
  • Calculated Insights object
  • What are Segments?
  • How to create Data Cloud Segments?
  • Segmentation Operators
    

• Act on Data
  
  • Data Shares
  • Data Actions in Data Cloud

• Customer 360 Data Model for Data Cloud
• Batch Data Transforms in Data Cloud
• Streaming Data Transforms in Data Cloud

Benefits you will get if you enrol for the course:

• Hands-on Project Implementation
• Have proper Salesforce AI and Data Cloud knowledge not just Certification
• Know how AI and Data will help you up-skill your Tech Career