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Google Cloud Training

En este curso, se presenta Generative AI Studio, un producto de Vertex AI que te ayuda a crear prototipos de modelos de IA generativa y a personalizarlos para que puedas usar sus capacidades en tus aplicaciones. En el curso verás demostraciones del producto Generative AI Studio para conocerlo y descubrir cómo usar sus funciones y opciones. Una vez que finalices, accederás al lab práctico en el que podrás aplicar lo que aprendiste y realizarás un cuestionario para poner a prueba tus conocimientos.

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Syllabus

Introducción a Generative AI Studio
En este curso, se presenta Generative AI Studio, un producto de Vertex AI que te ayuda a crear prototipos de modelos de IA generativa y a personalizarlos para que puedas usar sus capacidades en tus aplicaciones. En el curso verás demostraciones del producto Generative AI Studio para conocerlo y descubrir cómo usar sus funciones y opciones. Una vez que finalices, accederás al lab práctico en el que podrás aplicar lo que aprendiste y realizarás un cuestionario para poner a prueba tus conocimientos.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Curso impartido por Google Cloud Training, reconocidos por su trabajo en IA y aprendizaje automático
Presenta Generative AI Studio, un producto de Vertex AI para crear prototipos y personalizar modelos de IA generativa
Ofrece demostraciones y ejemplos prácticos para conocer el funcionamiento y las opciones de Generative AI Studio
Incluye un laboratorio práctico para aplicar los conocimientos adquiridos y probarlos mediante un cuestionario
Dirigido a profesionales y estudiantes interesados en explorar la IA generativa y sus aplicaciones prácticas

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction to Generative AI Studio - Español with these activities:
Revise Generative AI Concepts
Refreshes your understanding of core Generative AI and deep learning concepts before starting the course.
Browse courses on Generative Models
Show steps
  • Review foundational Generative AI concepts
  • Practice applying Generative AI techniques
Organize Course Materials
Facilitates effective learning by organizing and reviewing course materials.
Show steps
  • Download and review course videos
  • Take notes during each class session
  • Create a study guide
Join a Generative AI Study Group
Provides a collaborative learning environment where you can discuss and reinforce concepts with peers.
Show steps
  • Find or create a Generative AI study group
  • Participate in regular meetings
  • Share knowledge and support each other
Three other activities
Expand to see all activities and additional details
Show all six activities
Explore Additional Generative AI Tools
Expands your knowledge by introducing additional Generative AI tools and resources.
Browse courses on Google AI Platform
Show steps
  • Create an account on OpenAI Playground
  • Utilize Google AI Platform for Generative AI
  • Explore Hugging Face Transformers
Develop a Generative AI Project Proposal
Challenges you to apply your knowledge by developing a comprehensive Generative AI project proposal.
Browse courses on Project Proposal Writing
Show steps
  • Identify a problem or opportunity that Generative AI can address
  • Propose a solution using Generative AI
  • Outline the project plan and timeline
Contribute to Generative AI Open-Source Projects
Enhances your understanding and application of Generative AI by contributing to open-source projects.
Show steps
  • Identify open-source Generative AI projects on GitHub
  • Review project documentation and code
  • Make code modifications or contribute to discussions

Career center

Learners who complete Introduction to Generative AI Studio - Español will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists use their knowledge of statistics, mathematics, and programming to extract insights from data. They use these insights to make recommendations and develop solutions to problems. This course may be useful for Data Scientists who want to learn more about Generative AI Studio.
Machine Learning Engineer
Machine Learning Engineers are responsible for building, deploying, and maintaining machine learning models. They use their knowledge of machine learning algorithms and techniques to develop models that can solve complex problems. This course may be useful for Machine Learning Engineers who want to learn more about Generative AI Studio.
Operations Research Analyst
Operations Research Analysts use their knowledge of mathematics, statistics, and computer science to solve complex problems in business and industry. They use their skills to develop models and algorithms that can optimize processes and improve efficiency. This course may be useful for Operations Research Analysts who want to learn more about Generative AI Studio.
Data Architect
Data Architects design and implement the architecture for data storage and management systems. They work with businesses to understand their data needs and develop solutions that meet those needs. This course may be useful for Data Architects who want to learn more about Generative AI Studio.
Software Engineer
Software Engineers design, develop, and maintain software systems. They use their knowledge of programming languages and software development techniques to create software that meets the needs of users. This course may be useful for Software Engineers who want to learn more about Generative AI Studio.
Database Administrator
Database Administrators are responsible for the administration and maintenance of databases. They work with businesses to understand their data needs and develop solutions that meet those needs. This course may be useful for Database Administrators who want to learn more about Generative AI Studio.
Financial Analyst
Financial Analysts use their knowledge of finance and economics to analyze financial data and make recommendations. They use this information to help businesses make informed decisions about investments and other financial matters. This course may be useful for Financial Analysts who want to learn more about Generative AI Studio.
Product Manager
Product Managers are responsible for the development and launch of new products and services. They work with engineers, designers, and marketers to bring products to market that meet the needs of customers. This course may be useful for Product Managers who want to learn more about Generative AI Studio.
Data Engineer
Data Engineers are responsible for building, deploying, and maintaining data pipelines. They work with businesses to understand their data needs and develop solutions that meet those needs. This course may be useful for Data Engineers who want to learn more about Generative AI Studio.
Cloud Architect
Cloud Architects design and implement the architecture for cloud computing systems. They work with businesses to understand their cloud computing needs and develop solutions that meet those needs. This course may be useful for Cloud Architects who want to learn more about Generative AI Studio.
Quantitative Analyst
Quantitative Analysts use their knowledge of mathematics, statistics, and programming to develop and implement financial models. They use these models to assess the risk and return of investments. This course may be useful for Quantitative Analysts who want to learn more about Generative AI Studio.
Information Technology Manager
Information Technology Managers are responsible for the management of information technology resources. They work with businesses to understand their technology needs and develop solutions that meet those needs. This course may be useful for Information Technology Managers who want to learn more about Generative AI Studio.
Management Consultant
Management Consultants use their knowledge of business and management to help organizations improve their performance. They work with clients to identify problems, develop solutions, and implement change. This course may be useful for Management Consultants who want to learn more about Generative AI Studio.
Systems Analyst
Systems Analysts design and implement computer systems. They work with businesses to understand their computing needs and develop solutions that meet those needs. This course may be useful for Systems Analysts who want to learn more about Generative AI Studio.
Business Analyst
Business Analysts use their knowledge of business and technology to analyze business processes and develop solutions to problems. They use this information to help businesses improve their efficiency and productivity. This course may be useful for Business Analysts who want to learn more about Generative AI Studio.

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Introduction to Generative AI Studio - Español.
Comprehensive reference on deep learning, covering the latest research and developments in the field. It valuable resource for anyone who wants to learn more about the fundamentals of deep learning.
Comprehensive reference on statistical learning, covering a wide range of topics from linear regression to support vector machines. It valuable resource for anyone who wants to learn more about the statistical foundations of machine learning.
Practical guide to machine learning using Python, covering a wide range of topics from data preprocessing to model selection. It valuable resource for anyone who wants to learn more about the practical aspects of machine learning using Python.
Comprehensive reference on natural language processing using Python, covering a wide range of topics from text preprocessing to machine translation. It valuable resource for anyone who wants to learn more about the practical aspects of natural language processing using Python.
Este libro ofrece una guía práctica para el aprendizaje profundo utilizando fastai y PyTorch. Proporciona una base sólida en los conceptos y técnicas de aprendizaje profundo, que son esenciales para comprender y aplicar los modelos de IA generativa.
Este libro se centra en la interpretabilidad de los modelos de aprendizaje automático, que es esencial para comprender y confiar en los modelos de IA generativa. Proporciona técnicas y herramientas para hacer que los modelos sean más interpretables.
Este libro proporciona una introducción accesible al aprendizaje automático, que es un requisito previo fundamental para comprender y aplicar los modelos de IA generativa. Cubre los conceptos básicos, algoritmos y técnicas de aprendizaje automático.
Este libro ofrece una guía práctica para la implementación de modelos de aprendizaje automático utilizando bibliotecas populares como Scikit-Learn, Keras y TensorFlow. Es útil para aplicar los conceptos y técnicas aprendidos en el curso a través de ejemplos prácticos.
Este libro se centra en el aprendizaje profundo utilizando Python. Proporciona una base sólida en las técnicas y algoritmos de aprendizaje profundo, que son esenciales para el desarrollo y la implementación de modelos de IA generativa.

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