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Generative AI & LLMs for Builders

Our flagship, hands-on bootcamp for building with Generative AI. Understand how LLMs work, master prompt engineering, build chatbots and copilots on the Claude & GPT APIs, ship RAG pipelines and AI agents, and deploy a production GenAI app as your capstone. Certification on completion.

Generative AI Artificial Intelligence Advanced Prompt Engineering
  • 8 lessons
  • Updated 09/05/2026
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AI agents & tool use

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From answering to acting

An agent is an LLM given tools (functions/APIs) and a goal. It decides which tool to call, reads the result, and loops until the task is done.

The agent loop

  1. Model receives a goal + the tools available.
  2. It chooses a tool and arguments.
  3. Your code runs the tool and returns the result.
  4. The model incorporates it and continues — or finishes.

Examples of tools

  • Web search, database queries, sending email.
  • Running code, calling internal APIs, updating records.

Building them well

Clear tool descriptions, guardrails on destructive actions, timeouts/retries, and observability. Start with one or two tools before going autonomous.

Takeaway: tools turn a chatbot into a system that gets real work done.

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