ForceWise Agentforce Specialist CourseThis course by ForceWise is designed for professionals managing Agentforce in their organizations. It covers essential Agentforce functions along with Salesforce Platform configuration, allowing participants to confirm their ability to use Agentforce to drive business success.Who Should EnrollThis course is ideal for those who can configure and manage Agentforce while understanding Salesforce’s core functions. You’ll be assessed on your ability to:Navigate Salesforce tools and create custom solutions, actions, or integrations.Recognize when to use Prompt Builder, set up prompt templates, and apply effective grounding techniques.Build and customize agents to meet specific business needs, using the Agentforce Testing Center for practical evaluation.Utilize the Agentforce Data Library to boost response accuracy and personalize interactions, along with understanding Data Cloud retrievers.Through this training, you'll learn how to streamline processes, build custom agents with prebuilt skills for various departments, integrate these agents with existing systems, and apply best practices for accurate, context-sensitive interactions.What This Course Does Not CoverCandidates are not expected to:Possess advanced skills in configuring or fine-tuning large language models (LLMs).Be proficient in coding languages such as Apex or Python.Have deep familiarity with external artificial intelligence (AI) tools.Understand transformer architecture or perform ROI calculations.Be experienced in white space analysis or have prior exposure to Marketing Cloud, Heroku, Commerce Cloud, MuleSoft, Tableau, Slack, Quip, or Industry Clouds.About the ExamParticipants are also prepared for the Agentforce Specialist exam, wh
What you'll learn
How to navigate Salesforce tools
Creating and customizing agents
Setting up prompt templates and effective grounding techniques
Utilizing the Agentforce Data Library for better interaction accuracy
Course objectives
To build custom agents with prebuilt skills
To integrate agents with existing systems
To apply best practices for context-sensitive interactions