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Tracks: Agentforce Specialist

Agentforce Specialist

Prompt Engineering

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Prompt Engineering

Given business requirements, identify when it's appropriate to use Prompt Builder.

Start

Identify access controls governing prompt templates

Identify the considerations for using a prompt template type such as field generation and flex types.

Given a scenario, identify the appropriate grounding technique.

Explain the process for creating, activating, and executing prompt templates.

Explain how to implement best practices for writing effective prompts.

Identify the security and privacy features of the Trust Layer

Explain how to manage and prevent specific models from being accessed

Data 360 Fundamentals

Explain the considerations of Agentforce Data Library and its concepts.

Explain foundational concepts of Data 360 such as chunking, indexing, and retrievers

AI Agents

Explain how an agent works and its basic building blocks of agent script

Explain the components and benefits of hybrid reasoning, including how Agent Script functions in Canvas and Script View

Given a use case, manage deterministic behavior for the agent using mechanisms like filters, variables, and template expressions.

Given a scenario, select and configure standard topics, custom topics, standard agent actions, and custom agent actions.

Explain the process for connecting agents to various channels such as digital experience, email, voice, and Slack.

Explain the security context in which the agent is actually running, and how it impacts agent action execution

Given a scenario, identify when to use an Employee or Service agent.

Given a scenario, identify when it's appropriate to use Agent API

Testing, Deployment, and Maintenance

Given a scenario, test an agent using Testing Center

Explain how Testing Center evaluations work

Identify the considerations for deploying an agent from sandbox to production.

Identify the considerations for deploying a template from sandbox to production

Governance and Observability

Explain the process for managing and monitoring agents

Explain agent analytics and agent optimization

Multi-Agent Orchestration

Given a scenario, determine whether a Multi Agent architecture is appropriate for scalability and control

Explain the purpose of existing open standard multi-agent protocols such as MCP and A2A

Track progress

0%

0 of 154 nodes complete

Checklist progress

0/163 (0%)

0 of 163 concepts learned

View study checklist