AI Literacy — Level 3
Everyone's talking about AI agents. Most people confuse them with chatbots. This course teaches you what agents actually are, how businesses use them, when they fail, and how to deploy them safely — all without writing a single line of code.
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AI agents are the next leap beyond chatbots. They don't just answer — they plan, decide, and act. This course gives you the business-level understanding to evaluate, direct, and deploy them confidently.
Built for professionals, small business owners, and anyone who wants to understand the technology reshaping how work gets done — without needing to code.
Covers four pillars: how agents work, where they're used today, how to use them effectively, and how to keep them safe.
The goal isn't to make you an AI engineer — it's to make you the person in the room who actually understands what agents can and can't do.
Built on the NIST AI Risk Management Framework, Andrew Ng's Agentic Design Patterns, Anthropic's Trustworthy Agents Framework, and the foundational ReAct paper (Princeton & Google, ICLR 2023).
Not buzzwords — ideas you can explain and apply.
Ari explains concepts, asks questions, and uses real business examples. If something doesn't click, it tries a different angle.
Every concept connects to real business outcomes. You'll evaluate agents like a decision-maker, not a developer.
About an hour per topic. Finish in a week or take a month. No deadlines, no pressure.
Learn on break, on the commute, before bed. Pick up right where you left off.
This isn't a chatbot with a script. Ari builds a model of YOU as a learner.
Every conversation teaches Ari more about you. After a few sessions, Ari adapts automatically:
Beyond teaching topics, Ari helps you pass the actual exam with strategic guidance:
10 topics across 5 categories. From foundations to deployment.
Chatbots vs agents. The agent loop. The autonomy spectrum.
Task decomposition. Reasoning. Adaptation and replanning.
Tool calling & MCP. Short vs long-term memory. Real actions.
Single-purpose vs general. Multi-agent teams. Human-in-the-loop.
Customer service. Sales & marketing. Operations. Real examples.
Finding time-wasters. No-code platforms. Your first workflow.
Platform evaluation. Goal-based prompting. Measuring ROI.
Action hallucinations. Cascading errors. Real failure stories.
Permissions. Data privacy. Guardrails. Accountability.
Where agents are heading. Jobs and skills. Building your strategy.
Wondering if AI Agents Fundamentals is right for you? Ask Ari what you will learn, how long it takes, or what makes this different from AI Basics.
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Ten conversations with Ari. Go from confused by the buzzwords to confidently evaluating and directing AI agents.
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