Criar embeddings, pesquisa vetorial e RAG com o BigQuery

Criar embeddings, pesquisa vetorial e RAG com o BigQuery: Overview & Verdict

Este curso estuda uma solução de geração aumentada de recuperação (RAG) no BigQuery para mitigar as alucinações da IA. Ele introduz um fluxo de trabalho de RAG que engloba a criação de embeddings, a pesquisa por um espaço vetorial e a geração de respostas aprimoradas. O curso explica os motivos conceituais dessas etapas e a implementação prática delas com o BigQuery. Até o fim do curso, será possível criar um pipeline de RAG usando o BigQuery e modelos de IA generativa como o Gemini, além de mod

The course sits in the this field section of Coursera, next to material aimed at the same level, which makes it easy to continue once you finish.

It is taught by Google Cloud, delivered in pt-BR — useful context when you are deciding whether Criar embeddings, pesquisa vetorial e RAG com o BigQuery fits the time you have this week.

What you need before starting

• • A free Coursera account (takes under a minute to create)
• • A laptop, tablet or phone with a stable internet connection
• • Curiosity about this field and a couple of free hours per week

About Google Cloud

Google Cloud teaches Criar embeddings, pesquisa vetorial e RAG com o BigQuery. The lessons follow a consistent structure and the Q&A section stays active, which is a good signal of ongoing support.

Our verdict: Worth claiming if this field is on your list this quarter — a paid course at $0 is hard to argue with. Enroll now even if you plan to start later — access stays with your account after the coupon expires.