Artificial Intelligence

In just a few years artificial intelligence went from a promise to a tool we use daily to build software. At TintoDev we apply it to internal automations, agents that handle enquiries and data analysis that used to take weeks of manual work. This selection reflects that experience: it does not aim to cover the full academic theory, but to take you from understanding what a model does to integrating one into a product other people use. We prioritised courses that teach you to build, not just to chat with a chatbot.

Who it is for

• People who code and want to add AI capabilities to products they already maintain.
• Operations teams that see repetitive tasks and suspect a model could absorb them.
• Technical profiles who need to separate what AI does well today from what is still marketing.

What you will learn

• How a language model works inside, enough to predict when it will fail.
• Prompt and context design: the difference between an acceptable result and a reliable one.
• Retrieval-augmented generation (RAG) so the model answers with your data instead of its own.
• Agents that chain tools together, and the practical limits they have in production.

Recommended order

1. Start with generative AI fundamentals even if you already use ChatGPT daily: product intuition is built by understanding the mechanism.
2. Continue with API integration and applied prompt engineering, which is where the real work shows up.
3. Finish with agents and RAG, which assume everything above and become an uphill climb without that base.