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Matheus Battisti and Hora de Codar

O Qwen chegou para revolucionar, assim como o DeepSeek, trazendo uma abordagem open source que nos permite rodar os modelos diretamente em nossa máquina e extrair seu máximo potencial. E no curso, você aprenderá exatamente como fazer isso.

Este treinamento te proporcionará um entendimento profundo da IA Qwen, começando pelo acesso à plataforma web até técnicas avançadas de Engenharia de Prompt, garantindo respostas otimizadas para seus comandos.

O que você vai aprender no Curso de Qwen?

Read more

O Qwen chegou para revolucionar, assim como o DeepSeek, trazendo uma abordagem open source que nos permite rodar os modelos diretamente em nossa máquina e extrair seu máximo potencial. E no curso, você aprenderá exatamente como fazer isso.

Este treinamento te proporcionará um entendimento profundo da IA Qwen, começando pelo acesso à plataforma web até técnicas avançadas de Engenharia de Prompt, garantindo respostas otimizadas para seus comandos.

O que você vai aprender no Curso de Qwen?

  • Visão geral da interface e principais funcionalidades

  • Como utilizar a IA para programação (Prompts para Desenvolvedores)

  • Instalação do Qwen na sua máquina via Ollama e execução local do modelo

  • Integração do Qwen ao VS Code

  • Acesso e utilização da API do Qwen para seus projetos

  • Técnicas avançadas de Engenharia de Prompt

  • E muito mais.

Para quem é este curso?

Não há pré-requisitos. Você não precisa ter experiência prévia com Inteligência Artificial ou outras ferramentas. Vou te guiar do zero ao avançado, para que você domine o Qwen e ferramentas similares com confiança.

E você não estará sozinho. Nossa Equipe de Suporte estará disponível para te auxiliar em qualquer dúvida ou desafio. Nosso objetivo é garantir seu sucesso no curso, acompanhando cada aluno de forma individual.

Benefícios exclusivos para quem se matricular:

  • Acesso vitalício ao curso

  • Todas as futuras atualizações inclusas (as IAs evoluem rapidamente e vamos te manter sempre atualizado)

  • Garantia de satisfação de 14 dias – ou seu dinheiro de volta, sem burocracia

  • Projetos práticos para aplicar o conhecimento e fortalecer seu portfólio

  • Comunidade exclusiva para networking e troca de experiências

Ao se inscrever, o curso será seu para sempre, sem custos adicionais para novas atualizações. E para sua segurança, oferecemos uma garantia incondicional de 30 dias – se por qualquer motivo você não estiver satisfeito, devolvemos 100% do seu investimento.

Ou seja, risco zero. Ou você domina o Qwen e amplia seus conhecimentos sobre IA, ou recebe seu dinheiro de volta.

Está pronto para se tornar um especialista em Qwen e explorar todo o potencial da Inteligência Artificial?

Junte-se a milhares de alunos que já transformaram suas carreiras com nossos cursos. Te espero na primeira aula.

Enroll now

What's inside

Learning objectives

  • Todos os recursos e funcionalidades da ia qwen
  • Utilizar o modelo do qwen localmente na máquina via ollama
  • Programar com o auxílio do qwen no vs code
  • Engenharia de prompt focada para o qwen
  • Integrar a api do qwen em projetos de programação

Syllabus

Introdução
Apresentação do curso
Sobre o Qwen
Comparação do Qwen x DeepSeek, Claude e ChatGPT
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Activities

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Career center

Learners who complete Curso de Qwen do Básico ao Avançado will develop knowledge and skills that may be useful to these careers:

Reading list

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A textbook that presents AI from a computational perspective, covering topics such as agents, knowledge representation, reasoning, and planning. Suitable for readers with a background in computer science or mathematics.
A classic textbook on reinforcement learning, a subfield of AI concerned with learning from interaction with the environment. Covers both theoretical concepts and practical algorithms, with a focus on real-world applications.
A comprehensive textbook that provides a broad overview of the field, covering topics such as problem-solving, learning, machine learning, and natural language processing. Suitable for both beginners and advanced learners.
A highly cited and influential book that focuses on deep learning, a subfield of AI concerned with constructing models for complex data. Covers theoretical concepts, popular algorithms, and practical applications.
A practical guide to natural language processing (NLP) using Python, covering topics such as text classification, sentiment analysis, and machine translation. Suitable for beginners with some programming experience.
A short but powerful book that explores the potential benefits and risks of AI, as well as the ethical dilemmas that need to be addressed as AI becomes more advanced.
A comprehensive German-language textbook that provides a broad overview of AI, covering topics such as search, knowledge representation, and machine learning. Suitable for both beginners and advanced learners.
A French-language textbook that focuses on machine learning, a subfield of AI. Covers topics such as supervised learning, unsupervised learning, and deep learning. Suitable for beginners with some programming experience.
A comprehensive textbook that covers probabilistic graphical models (PGMs), a powerful tool for representing and reasoning about complex systems. Suitable for advanced learners with a background in probability and statistics.
Focuses on the use of prompt engineering for natural language processing. It is written by Thomas Wolf, a leading researcher in the field of NLP.
Offers a practical, hands-on approach to prompt engineering specifically with ChatGPT. It's an excellent resource for high school and undergraduate students getting started, providing clear examples and exercises. It serves as a useful introductory guide and additional reading to complement foundational AI courses.
Provides a comprehensive guide to prompt engineering, covering techniques for crafting effective inputs to generative AI models. It's particularly useful for understanding how to obtain reliable and predictable results, which is crucial for both beginners and those looking to deepen their practical skills. This book is valuable as a current reference for anyone working with generative AI.
Focuses on the use of prompt engineering for education. It is written by Salman Khan, a leading researcher in the field of education.
Covers the use of prompt engineering for finance. It is written by Richard Roll, a leading researcher in the field of finance.
Focuses on the use of prompt engineering for recommendation systems. It is written by Masashi Sugiyama, a leading researcher in the field of recommendation systems.
For those who want to understand the mechanics of LLMs deeply, this book guides you through building one from scratch. This is highly technical and suitable for advanced undergraduate students, graduate students, and researchers. A deep understanding of LLM architecture is beneficial for advanced prompt engineering techniques.

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