A Inteligência Artificial está cada dia mais presente em nosso dia a dia. Segundo o Relatório do Futuro do Trabalho publicado pelo Fórum Econômico Mundial, as habilidades em IA representem a terceira maior prioridade para as estratégias de treinamento das empresas, ao lado do pensamento analítico e criativo.
Para te ajudar a obter novos conhecimentos, teremos a Maratona #AISkills, uma imersão gratuita e online, destinada para pessoas que querem aprender a usar a IA na prática, abordando temas como Ética na IA, Prompt Engineering, GitHub Copilot, Análise de Dados, Machine Learning, Azure OpenAI e muito mais.
Princípios do Microsoft Responsible AI na prática IA responsável é a aplicação de princípios éticos e sociais na criação, desenvolvimento e uso de tecnologias de Inteligência Artificial (IA). Estes princípios ajudam a garantir que os sistemas de IA sejam usados de forma responsável e segura, ao mesmo tempo em que ajudam a proteger os direitos humanos.
Ganhe produtividade com Prompt Engineering Prompt engineering é a prática de fornecer instruções específicas a um modelo de IA para produzir os resultados desejados. Do Chat GPT ao GitHub Copilot, você aprenderá a escrever prompts eficientes para gerar textos e até mesmo, linhas de código.
Como criar um jogo de pedra, papel e tesoura com o GitHub Copilot O GitHub Copilot está transformando a produtividade e a jornada de aprendizado de pessoas desenvolvedoras. Nesta palestra, vamos explorar o Codespaces e o GitHub Copilot para criar um jogo de pedra, papel e tesoura!
Microsoft Fabric: análise de dados para a era da IA O mundo de hoje está inundado de dados — sempre em fluxo dos dispositivos que usamos, dos aplicativos que construímos e das interações que temos. O Microsoft Fabric é uma plataforma de análise unificada de ponta a ponta que reúne todos os dados e ferramentas de análise de que as organizações precisam. O Fabric integra tecnologias como Azure Data Factory, Azure Synapse Analytics e Power BI em um único produto unificado, capacitando dados e profissionais de negócios a liberar o potencial de seus dados e estabelecer as bases para a era da IA.
15 de Agosto, 12:30h
Palestrante:
Pablo Lopes
Criando um assistente com o Azure OpenAI Service Crie um assistente natural com o Azure OpenAI, faça notas, pegue os pontos mais importantes e feedback sobre as ideias como especialista.
Introdução a MLOps: Conceitos e Prática O machine learning está no núcleo da inteligência artificial, e muitos aplicativos e serviços modernos dependem de modelos de machine learning preditivos. Nesta sessão vamos falar sobre conceitos de MLOps (Machine Learning Operations) e como trabalhar com tais práticas usando ferramentas de DevOps e aprendizado de máquina da Microsoft.
O Cloud Skills Challenge é uma plataforma integrada com o Microsoft Learn, portal global de cursos gratuitos da Microsoft, disponível 24 horas por dia, 7 dias por semana. Além de assistir as aulas gratuitas da Maratona #AISkills, você pode participar do nosso grupo de estudos de Inteligência Artificial, basta realizar a sua inscrição no Cloud Skills Challenge.
Depois de concluir um desafio, você receberá um selo do Microsoft Learn AI Skills Challenge e um certificado de conclusão. Na Maratona #AISKills, temos 4 trilhas de desafio de estudos. Você pode escolher uma ou mais trilhas!
Desafio de Machine Learning
O aprendizado de máquina está no centro da inteligência artificial, e muitos serviços modernos dependem de modelos preditivos de aprendizado de máquina. Saiba como usar o Aprendizado de Máquina do Azure para criar e publicar modelos sem escrever código. Você também explorará as várias ferramentas de desenvolvedor que pode usar para interagir com o espaço de trabalho.
Desafio dos Serviços Cognitivos
Os Serviços Cognitivos do Azure são blocos de construção da funcionalidade de IA que podem ser integrados em aplicativos. Você aprenderá a provisionar, proteger e implantar serviços cognitivos. Usando essa ferramenta, você pode criar soluções inteligentes que extraem significado semântico do texto e oferecem suporte a cenários comuns de visão computacional.
Desafio de operações de aprendizado de máquina (MLOps)
As operações de aprendizado de máquina (MLOps) aplicam princípios de DevOps a projetos de aprendizado de máquina. Você aprenderá a implementar conceitos chave, como controle de origem, automação e CI/CD para criar uma solução MLOps de ponta a ponta enquanto usa Python para treinar, salvar e usar um modelo de aprendizado de máquina.
Desafio do Construtor de IA
Este desafio apresenta o AI Builder, ensina como criar modelos e explica como você pode usá-los no Power Apps e no Power Automate. Você aprenderá a criar tópicos, entidades personalizadas e variáveis para capturar, extrair e armazenar informações em um bot.
Os desafios começam dia de 17 de Julho e se quiser antecipar sua inscrição, acesse a página do Cloud Skills Challenge.
Tutoriais do GitHub para iniciantes em programação
Quero trazer um destaque para estes recursos, pois todos os tutoriais foram traduzidos para Português com a ajuda de nossa comunidade Microsoft Learn Student Amabassadors. Então, acesse os tutoriais e não esqueça de deixar uma estrelinha!
Oi lais07 obrigada pelo comentário, fico muito feliz com seu feedback. Quero muito que todas e todos possam ter a oportunidade de participar de projetos de aprendizado bacanas!!!
Passando somente para agradecer por mais essa oportunidade de adquirir conhecimento. Acompanho sua atuação na comunidade WomakersCode e sou fã de todas membros, manas, parceiras e adoro ir no eventos.
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\n
Participe da Imersão de Inteligência Artificial e aprenda sobre ética na IA, Prompt Engineering, GitHub Copilot, Análise de Dados, Machine Learning, Azure OpenAI e muito mais. A Maratona #AISkills é destinada para pessoas que querem aprender a usar a IA na prática.
","body":"
\n
A Inteligência Artificial está cada dia mais presente em nosso dia a dia. Segundo o Relatório do Futuro do Trabalho publicado pelo Fórum Econômico Mundial, as habilidades em IA representem a terceira maior prioridade para as estratégias de treinamento das empresas, ao lado do pensamento analítico e criativo.
\n
\n
Para te ajudar a obter novos conhecimentos, teremos a Maratona #AISkills, uma imersão gratuita e online, destinada para pessoas que querem aprender a usar a IA na prática, abordando temas como Ética na IA, Prompt Engineering, GitHub Copilot, Análise de Dados, Machine Learning, Azure OpenAI e muito mais.
Princípios do Microsoft Responsible AI na prática IA responsável é a aplicação de princípios éticos e sociais na criação, desenvolvimento e uso de tecnologias de Inteligência Artificial (IA). Estes princípios ajudam a garantir que os sistemas de IA sejam usados de forma responsável e segura, ao mesmo tempo em que ajudam a proteger os direitos humanos.
Ganhe produtividade com Prompt Engineering Prompt engineering é a prática de fornecer instruções específicas a um modelo de IA para produzir os resultados desejados. Do Chat GPT ao GitHub Copilot, você aprenderá a escrever prompts eficientes para gerar textos e até mesmo, linhas de código.
Como criar um jogo de pedra, papel e tesoura com o GitHub Copilot O GitHub Copilot está transformando a produtividade e a jornada de aprendizado de pessoas desenvolvedoras. Nesta palestra, vamos explorar o Codespaces e o GitHub Copilot para criar um jogo de pedra, papel e tesoura!
Microsoft Fabric: análise de dados para a era da IA O mundo de hoje está inundado de dados — sempre em fluxo dos dispositivos que usamos, dos aplicativos que construímos e das interações que temos. O Microsoft Fabric é uma plataforma de análise unificada de ponta a ponta que reúne todos os dados e ferramentas de análise de que as organizações precisam. O Fabric integra tecnologias como Azure Data Factory, Azure Synapse Analytics e Power BI em um único produto unificado, capacitando dados e profissionais de negócios a liberar o potencial de seus dados e estabelecer as bases para a era da IA.
\n
\n
\n
\n
15 de Agosto, 12:30h
\n
Palestrante:
\n
Pablo Lopes
\n
\n
\n
Criando um assistente com o Azure OpenAI Service Crie um assistente natural com o Azure OpenAI, faça notas, pegue os pontos mais importantes e feedback sobre as ideias como especialista.
Introdução a MLOps: Conceitos e Prática O machine learning está no núcleo da inteligência artificial, e muitos aplicativos e serviços modernos dependem de modelos de machine learning preditivos. Nesta sessão vamos falar sobre conceitos de MLOps (Machine Learning Operations) e como trabalhar com tais práticas usando ferramentas de DevOps e aprendizado de máquina da Microsoft.
\n
\n\n
\n
\n
\n
\n
O Cloud Skills Challenge é uma plataforma integrada com o Microsoft Learn, portal global de cursos gratuitos da Microsoft, disponível 24 horas por dia, 7 dias por semana. Além de assistir as aulas gratuitas da Maratona #AISkills, você pode participar do nosso grupo de estudos de Inteligência Artificial, basta realizar a sua inscrição no Cloud Skills Challenge.
\n
\n
\n
Depois de concluir um desafio, você receberá um selo do Microsoft Learn AI Skills Challenge e um certificado de conclusão. Na Maratona #AISKills, temos 4 trilhas de desafio de estudos. Você pode escolher uma ou mais trilhas!
\n
\n
Desafio de Machine Learning
\n
O aprendizado de máquina está no centro da inteligência artificial, e muitos serviços modernos dependem de modelos preditivos de aprendizado de máquina. Saiba como usar o Aprendizado de Máquina do Azure para criar e publicar modelos sem escrever código. Você também explorará as várias ferramentas de desenvolvedor que pode usar para interagir com o espaço de trabalho.
\n
\n
Desafio dos Serviços Cognitivos
\n
Os Serviços Cognitivos do Azure são blocos de construção da funcionalidade de IA que podem ser integrados em aplicativos. Você aprenderá a provisionar, proteger e implantar serviços cognitivos. Usando essa ferramenta, você pode criar soluções inteligentes que extraem significado semântico do texto e oferecem suporte a cenários comuns de visão computacional.
\n
\n
Desafio de operações de aprendizado de máquina (MLOps)
\n
As operações de aprendizado de máquina (MLOps) aplicam princípios de DevOps a projetos de aprendizado de máquina. Você aprenderá a implementar conceitos chave, como controle de origem, automação e CI/CD para criar uma solução MLOps de ponta a ponta enquanto usa Python para treinar, salvar e usar um modelo de aprendizado de máquina.
\n
\n
Desafio do Construtor de IA
\n
Este desafio apresenta o AI Builder, ensina como criar modelos e explica como você pode usá-los no Power Apps e no Power Automate. Você aprenderá a criar tópicos, entidades personalizadas e variáveis para capturar, extrair e armazenar informações em um bot.
\n
\n
Os desafios começam dia de 17 de Julho e se quiser antecipar sua inscrição, acesse a página do Cloud Skills Challenge.
Tutoriais do GitHub para iniciantes em programação
\nQuero trazer um destaque para estes recursos, pois todos os tutoriais foram traduzidos para Português com a ajuda de nossa comunidade Microsoft Learn Student Amabassadors. Então, acesse os tutoriais e não esqueça de deixar uma estrelinha!
A Inteligência Artificial está cada dia mais presente em nosso dia a dia. Segundo o Relatório do Futuro do Trabalho publicado pelo Fórum Econômico Mundial, as habilidades em IA representem a terceira maior prioridade para as estratégias de treinamento das empresas, ao lado do pensamento analítico e criativo.
\n
\n
Para te ajudar a obter novos conhecimentos, teremos a Maratona #AISkills, uma imersão gratuita e online, destinada para pessoas que querem aprender a usar a IA na prática, abordando temas como Ética na IA, Prompt Engineering, GitHub Copilot, Análise de Dados, Machine Learning, Azure OpenAI e muito mais.
Princípios do Microsoft Responsible AI na prática IA responsável é a aplicação de princípios éticos e sociais na criação, desenvolvimento e uso de tecnologias de Inteligência Artificial (IA). Estes princípios ajudam a garantir que os sistemas de IA sejam usados de forma responsável e segura, ao mesmo tempo em que ajudam a proteger os direitos humanos.
Ganhe produtividade com Prompt Engineering Prompt engineering é a prática de fornecer instruções específicas a um modelo de IA para produzir os resultados desejados. Do Chat GPT ao GitHub Copilot, você aprenderá a escrever prompts eficientes para gerar textos e até mesmo, linhas de código.
Como criar um jogo de pedra, papel e tesoura com o GitHub Copilot O GitHub Copilot está transformando a produtividade e a jornada de aprendizado de pessoas desenvolvedoras. Nesta palestra, vamos explorar o Codespaces e o GitHub Copilot para criar um jogo de pedra, papel e tesoura!
Microsoft Fabric: análise de dados para a era da IA O mundo de hoje está inundado de dados — sempre em fluxo dos dispositivos que usamos, dos aplicativos que construímos e das interações que temos. O Microsoft Fabric é uma plataforma de análise unificada de ponta a ponta que reúne todos os dados e ferramentas de análise de que as organizações precisam. O Fabric integra tecnologias como Azure Data Factory, Azure Synapse Analytics e Power BI em um único produto unificado, capacitando dados e profissionais de negócios a liberar o potencial de seus dados e estabelecer as bases para a era da IA.
\n
\n
\n
\n
15 de Agosto, 12:30h
\n
Palestrante:
\n
Pablo Lopes
\n
\n
\n
Criando um assistente com o Azure OpenAI Service Crie um assistente natural com o Azure OpenAI, faça notas, pegue os pontos mais importantes e feedback sobre as ideias como especialista.
Introdução a MLOps: Conceitos e Prática O machine learning está no núcleo da inteligência artificial, e muitos aplicativos e serviços modernos dependem de modelos de machine learning preditivos. Nesta sessão vamos falar sobre conceitos de MLOps (Machine Learning Operations) e como trabalhar com tais práticas usando ferramentas de DevOps e aprendizado de máquina da Microsoft.
\n
\n\n
\n
\n
\n
\n
O Cloud Skills Challenge é uma plataforma integrada com o Microsoft Learn, portal global de cursos gratuitos da Microsoft, disponível 24 horas por dia, 7 dias por semana. Além de assistir as aulas gratuitas da Maratona #AISkills, você pode participar do nosso grupo de estudos de Inteligência Artificial, basta realizar a sua inscrição no Cloud Skills Challenge.
\n
\n
\n
Depois de concluir um desafio, você receberá um selo do Microsoft Learn AI Skills Challenge e um certificado de conclusão. Na Maratona #AISKills, temos 4 trilhas de desafio de estudos. Você pode escolher uma ou mais trilhas!
\n
\n
Desafio de Machine Learning
\n
O aprendizado de máquina está no centro da inteligência artificial, e muitos serviços modernos dependem de modelos preditivos de aprendizado de máquina. Saiba como usar o Aprendizado de Máquina do Azure para criar e publicar modelos sem escrever código. Você também explorará as várias ferramentas de desenvolvedor que pode usar para interagir com o espaço de trabalho.
\n
\n
Desafio dos Serviços Cognitivos
\n
Os Serviços Cognitivos do Azure são blocos de construção da funcionalidade de IA que podem ser integrados em aplicativos. Você aprenderá a provisionar, proteger e implantar serviços cognitivos. Usando essa ferramenta, você pode criar soluções inteligentes que extraem significado semântico do texto e oferecem suporte a cenários comuns de visão computacional.
\n
\n
Desafio de operações de aprendizado de máquina (MLOps)
\n
As operações de aprendizado de máquina (MLOps) aplicam princípios de DevOps a projetos de aprendizado de máquina. Você aprenderá a implementar conceitos chave, como controle de origem, automação e CI/CD para criar uma solução MLOps de ponta a ponta enquanto usa Python para treinar, salvar e usar um modelo de aprendizado de máquina.
\n
\n
Desafio do Construtor de IA
\n
Este desafio apresenta o AI Builder, ensina como criar modelos e explica como você pode usá-los no Power Apps e no Power Automate. Você aprenderá a criar tópicos, entidades personalizadas e variáveis para capturar, extrair e armazenar informações em um bot.
\n
\n
Os desafios começam dia de 17 de Julho e se quiser antecipar sua inscrição, acesse a página do Cloud Skills Challenge.
Tutoriais do GitHub para iniciantes em programação
\nQuero trazer um destaque para estes recursos, pois todos os tutoriais foram traduzidos para Português com a ajuda de nossa comunidade Microsoft Learn Student Amabassadors. Então, acesse os tutoriais e não esqueça de deixar uma estrelinha!
Participe da Imersão de Inteligência Artificial e aprenda sobre ética na IA, Prompt Engineering, GitHub Copilot, Análise de Dados, Machine Learning, Azure OpenAI e muito mais. A Maratona #AISkills é destinada para pessoas que querem aprender a usar a IA na prática.
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Maratona de Inteligência Artificial: aulas ao vivo e trilha de estudos gratuita","moderationData":{"__ref":"ModerationData:moderation_data:3893074"},"body":"
Top demais esse programa heim pessoal! Time fera!
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Oi lais07 obrigada pelo comentário, fico muito feliz com seu feedback. Quero muito que todas e todos possam ter a oportunidade de participar de projetos de aprendizado bacanas!!!
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Cynthia,
Passando somente para agradecer por mais essa oportunidade de adquirir conhecimento. Acompanho sua atuação na comunidade WomakersCode e sou fã de todas membros, manas, parceiras e adoro ir no eventos.
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