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Understand what really happens when an AI agent books, searches, codes, or browses for you. Learn how a chatbot becomes an agent, follow the agent loop step by step through a real trace, see how tools and connectors work, why agents forget, why they fail, and how to judge an agent product before you trust it. No code, no math.
2 módulos • 5 aulas
Go beyond wording a single prompt. Learn to control everything an AI model sees: build a reusable context pack, feed long documents so nothing gets lost, choose between pasting and retrieval, and manage long conversations with clean handoffs. Works with ChatGPT, Claude, Gemini, and any other assistant. No code.
Understand how AI automation works before you commit to a tool. Learn triggers, actions, and workflows, add AI models like ChatGPT and Claude to your automations, compare Zapier, Make, and n8n, and design your first reliable automation without writing code.
A practical, no-code guide to the new class of AI browsers and computer-use agents that browse and act on your behalf. Learn how they work, compare ChatGPT's browsing agent, Perplexity Comet, and Gemini in Chrome, run real research and automation workflows, steer them safely, and defend against prompt injection and data exposure. Earn a free certificate.
Build a working AI agent from scratch in Python. Learn the think-act-observe loop, call an LLM, give your agent a tool it can use, and handle a failed tool call. Framework-agnostic and beginner-friendly.
Learn the idea behind AI search, recommendations, and "chat with your documents" tools. See how embeddings turn meaning into numbers, why close means related, how semantic search beats keyword search, where embeddings show up in everyday apps, why document search sometimes misses, and how to judge tools built on it. No code, no math.
Some AI models pause to "think" before they answer. Learn what reasoning models actually do, why thinking step by step helps, how models are trained to reason, when a reasoning model is worth the extra time and cost, how to prompt one well, and where their thinking still goes wrong. No code, no math.