Learn Agent and AI Literacy
Understand how AI agents and generative AI systems work — including their capabilities, limitations, and appropriate use in the workplace. Enables every professional to engage confidently with AI-powered tools and agentic workflows.
Why It Matters
- Core for your role
- Part of AI Associate
- High demand
Not completed
Finish a badge with a hands-on challenge, or a superbadge, to complete it.
Learn it
Finish one badge with a hands-on challenge, or a superbadge, to complete Agent and AI Literacy.
Badges that complete it
Also teaches it
Trails and Trailhead Journeys that include them
Certifications that cover it
Related learning: a certification doesn’t complete the skill.
Certification
Salesforce Certified AI Associate
Certified AI Associates should be able to provide informed strategies and guide stakeholder decisions based on Salesforce's Trusted AI Principles.
What you’ll be able to do
Every question and challenge for this skill checks one of these.
- Explain what an AI agent is and how it differs from a chatbot.
- Describe what Agentforce is and where agents work across Salesforce.
- Compare two prompt versions and pick the better one with evidence.
Frequently asked questions
Understand how AI agents and generative AI systems work — including their capabilities, limitations, and appropriate use in the workplace. Enables every professional to engage confidently with AI-powered tools and agentic workflows.
Complete a badge with a hands-on challenge that teaches it, like Agentforce Grid.
Agent and AI Literacy is core for every role.
Yes. Salesforce Certified AI Associate (opens in a new tab) covers it.
Related skills
Completed
AI Agent Development
Build, configure, and customize AI agents using platforms like Agentforce, Microsoft Copilot Studio, and agent frameworks. Includes defining agent actions, topics, instructions, and guardrails.
Not completed
AI Development and Engineering
Develop, train, test, and operationalize AI and machine learning models. Covers the full AI/ML lifecycle from data preparation to production deployment.
Completed
AI Ethics, Trust, and Governance
Develop responsible AI systems that are transparent, fair, and aligned with human values. Covers bias mitigation, data sovereignty, AI safety standards, and regulatory compliance.
Completed
Agentic AI Systems
Design and deploy AI systems that act autonomously to complete multi-step tasks, make decisions, and adapt to changing inputs. Includes building single and multi-agent architectures on platforms like Agentforce.
Completed
Generative AI
Work with large language models (LLMs) and generative AI tools to produce content, code, insights, and experiences. Includes prompt engineering, RAG patterns, and fine-tuning workflows.
Not completed
Human and Agent Collaboration
Work effectively alongside AI agents — knowing when to delegate tasks, how to evaluate agent outputs, and when human judgment is required. Covers teaming patterns, trust calibration, and optimizing human-agent workflows.
Not completed
Natural Language Processing and Computer Vision
Build systems that understand and generate language, speech, and visual data. Covers NLP fundamentals through to advanced deep learning models for text and image tasks.