[ES] Curso de Certificación de Ingeniero Asociado en IA
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This course includes:
- 📹0 mins on-demand video
- 📄21 articles
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- 📱Access on mobile and TV
- 🏆Certificate of completion
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21
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📖About This Course
Lleva tus habilidades en IA al siguiente nivel con el Curso de Certificación de Ingeniero Asociado en IA: un programa práctico de nivel intermedio diseñado para ayudarte a desarrollar experiencia en el mundo real en aprendizaje automático, aprendizaje profundo y desarrollo de agentes de IA. Ya seas un aspirante a ingeniero de IA, un profesional de la ciencia de datos o un desarrollador que busca mejorar sus habilidades, este curso te brinda una base sólida en técnicas avanzadas de IA y en herramientas altamente demandadas como TensorFlow y PyTorch.Comenzamos con Ingeniería de Características y Evaluación de Modelos, donde aprenderás a preparar datos para el aprendizaje automático, extraer características significativas y evaluar el rendimiento del modelo utilizando métricas como precisión, recall, F1 score y ROC-AUC. Estas habilidades son esenciales para construir modelos precisos, confiables y listos para producción.Luego abordamos Algoritmos Avanzados de Machine Learning, donde explorarás implementaciones reales de árboles de decisión, bosques aleatorios, gradient boosting, XGBoost y aprendizaje por conjuntos. Comprenderás cuándo y cómo aplicar cada algoritmo según el tipo de datos y el problema a resolver.Después nos sumergimos en Redes Neuronales y Fundamentos del Deep Learning, brindándote una comprensión clara de perceptrones, funciones de activación, retropropagación y arquitecturas de red. Esta sección sienta las bases para que puedas construir tus propios modelos de aprendizaje profundo desde cero.En la sección de Algoritmos de ML e Implementaciones, obtendrás experiencia práctica programando una variedad de algoritmos desde cero. Reforzarás tu comprensión tanto teórica como práctica de los modelos más populares, al mismo tiempo que fortaleces tu dominio de Python y tu razonamiento matemático.Luego exploramos el Aprendizaje Automático con TensorFlow, donde construirás, entrenarás y evaluarás modelos utilizando uno de los marcos de deep learning más adoptados en la industria. Aprenderás a crear modelos con Keras, trabajar con operaciones tensoriales y utilizar ciclos de entrenamiento personalizados, esenciales para soluciones de IA escalables.A continuación, viene el Aprendizaje con PyTorch, donde experimentarás cómo usar este marco de aprendizaje profundo flexible y poderoso para implementar desde regresión logística hasta redes neuronales convolucionales (CNNs). Comprenderás autograd, optimizadores y cómo entrenar modelos en un entorno modular y amigable para la investigación.Finalmente, presentamos Agentes de IA para Principiantes, una sección accesible pero poderosa sobre agentes autónomos y arquitecturas basadas en agentes. Comprenderás el papel de los agentes de IA en la toma de decisiones, la planificación y la automatización de tareas, con ejemplos actuales como chatbots, sistemas de recomendación y coordinación multi-agente.Al finalizar el curso, podrás:Construir y desplegar modelos avanzados de MLComprender las matemáticas y el código detrás de las redes neuronalesUsar TensorFlow y PyTorch con confianzaTrabajar con conceptos y aplicaciones prácticas de agentes de IAPrepararte para roles de IA más especializados o certificacionesYa sea que quieras conseguir un trabajo como Ingeniero de Machine Learning, Desarrollador de IA o simplemente profundizar tu comprensión de la inteligencia artificial, este curso te brinda todo lo que necesitas para tener éxito.¡Únete a miles de estudiantes y obtén hoy tu Certificado de Ingeniero Asociado en IA—el siguiente paso para convertirte en un ingeniero de IA full-stack!
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