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Andrew Ng
La IA no es solo para ingenieros. Si desea que su organización esté mejor preparada en el uso de la IA, este es el curso que todos deberían hacer, especialmente sus colegas no técnicos.
En este curso, aprenderá lo siguiente:
Read more
La IA no es solo para ingenieros. Si desea que su organización esté mejor preparada en el uso de la IA, este es el curso que todos deberían hacer, especialmente sus colegas no técnicos.
En este curso, aprenderá lo siguiente:
Read more
La IA no es solo para ingenieros. Si desea que su organización esté mejor preparada en el uso de la IA, este es el curso que todos deberían hacer, especialmente sus colegas no técnicos.
En este curso, aprenderá lo siguiente:
- El significado detrás de la terminología común de IA, incluidos términos como redes neuronales, aprendizaje automático, aprendizaje profundo y ciencia de datos
- Lo que la IA puede realmente hacer, y lo que no
- Cómo detectar oportunidades para aplicar la IA a los problemas en su propia organización
- La experiencia de crear proyectos de ciencia de datos y aprendizaje automático
- Cómo trabajar con un equipo de IA y crear una estrategia de IA en su empresa
- Cómo guiar debates sociales y éticos entorno a la IA
Si bien este curso es en gran parte no técnico, los ingenieros también pueden hacerlo para aprender sobre los aspectos comerciales de la IA.
Register for this course and see more details by visiting:
OpenCourser.com/course/p5lu8a/ia
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What's inside
Syllabus
¿Qué es la IA?
Creación de proyectos de IA
Desarrollo de IA en su empresa
Read more
Syllabus
¿Qué es la IA?
Creación de proyectos de IA
Desarrollo de IA en su empresa
Read more
La IA y la sociedad
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Esta dirigido a quienes buscan comprender la IA para desempeñarse en un entorno de trabajo más preparado
Si bien es no técnico, los ingenieros pueden tomarlo para aprender lo comercial de la IA
El Instructor Andrew Ng es reconocido por su trabajo en IA
El plan de estudios incluye temas fundamentales de IA como redes neuronales y aplicaciones empresariales
Los alumnos implementarán proyectos de IA en el curso
Se abordan las consideraciones éticas y sociales sobre la IA
Save this course
Save IA para todos to your list so you can find it easily later:
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Reviews summary
Ia para todos: la guía definitiva para principiantes
Este curso de IA, diseñado para personas sin conocimientos previos, ofrece una visión integral de esta tecnología, sus aplicaciones, beneficios y desafíos. El profesor Andrew Ng, un experto en IA, explica claramente los conceptos esenciales, proporcionando ejemplos prácticos y enfatizando la importancia de la ética y la responsabilidad al implementar soluciones de IA.
Comprensión de las ventajas y desventajas de la IA, fomentando expectativas realistas.
"Es un gran curso para entender qué es y para qué sirve la IA."
Consideraciones éticas sobre el uso de IA y su impacto en la sociedad.
"...Cómo guiar debates sociales y éticos entorno a la IA"
Guía paso a paso para implementar proyectos de IA en organizaciones.
"Cómo trabajar con un equipo de IA y crear una estrategia de IA en su empresa"
Exploración de casos de uso y ejemplos exitosos de IA en diversas industrias.
"Buen curso con muchos ejemplos y para introducirte en la IA"
Introducción a la terminología común de IA y distinción entre lo que la IA puede y no puede hacer.
"En este curso, aprenderá lo siguiente: - El significado detrás de la terminología común de IA, incluidos términos como redes neuronales, aprendizaje automático, aprendizaje profundo y ciencia de datos"
"Lo que la IA puede realmente hacer, y lo que no"
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 IA para todos with these
activities:
Revise fundamental data analysis concepts
Show steps
Review foundational data analysis concepts to strengthen understanding of course materials.
Show steps
-
Review key concepts such as data types, data structures, and data manipulation techniques.
-
Practice data exploration and cleaning techniques.
-
Complete practice exercises or quizzes to assess understanding.
Practice AI terminology identification
Show steps
Reinforce understanding of key AI concepts by practicing term identification.
Show steps
-
Review a list of common AI terms and their definitions.
-
Complete quizzes or exercises to test your knowledge.
-
Use flashcards or other tools to aid memorization.
Attend a workshop on AI for non-technical professionals
Show steps
Gain practical insights and interact with experts by attending a workshop designed for non-technical audiences.
Browse courses on
AI for Business
Show steps
-
Identify and register for a relevant workshop.
-
Attend the workshop and actively participate in discussions.
-
Network with other attendees and industry professionals.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Explore case studies on AI implementation
Show steps
Learn from real-world examples to enhance understanding of AI applications and implementation strategies.
Show steps
-
Identify case studies relevant to your industry or interests.
-
Analyze the business problem addressed, AI techniques used, and outcomes achieved.
-
Discuss findings and insights with peers or mentors.
Participate in group discussions on AI applications
Show steps
Engage with peers to exchange ideas, discuss real-world applications, and enhance understanding of AI's impact.
Browse courses on
AI Applications
Show steps
-
Join or create a study group focused on AI applications.
-
Prepare talking points or research specific use cases to share with the group.
-
Actively participate in discussions, ask questions, and contribute insights.
Explore online tutorials on AI tools and technologies
Show steps
Expand knowledge and gain hands-on experience with practical AI tools and technologies.
Browse courses on
AI Tools
Show steps
-
Identify platforms or websites offering tutorials on AI tools or technologies.
-
Select tutorials aligned with your learning objectives.
-
Follow the tutorials, experiment with the tools, and apply the concepts learned.
Compile a glossary of AI terms and definitions
Show steps
Solidify understanding by creating a comprehensive reference of key AI concepts and terminology.
Show steps
-
Gather definitions from course materials, textbooks, and online resources.
-
Organize and categorize terms logically.
-
Create a document, spreadsheet, or other format for easy reference.
Develop a presentation on AI's potential impact on your industry
Show steps
Deepen understanding and demonstrate proficiency by creating a presentation that explores AI's implications for a specific industry.
Show steps
-
Research and analyze the potential impact of AI on your chosen industry.
-
Develop a clear and engaging presentation structure.
-
Create slides with supporting data, examples, and insights.
-
Practice delivering your presentation to receive feedback and refine your content.
Revise fundamental data analysis concepts
Show steps
Review foundational data analysis concepts to strengthen understanding of course materials.
Show steps
Show steps
Show steps
- Review key concepts such as data types, data structures, and data manipulation techniques.
- Practice data exploration and cleaning techniques.
- Complete practice exercises or quizzes to assess understanding.
Practice AI terminology identification
Show steps
Reinforce understanding of key AI concepts by practicing term identification.
Show steps
Show steps
Show steps
- Review a list of common AI terms and their definitions.
- Complete quizzes or exercises to test your knowledge.
- Use flashcards or other tools to aid memorization.
Attend a workshop on AI for non-technical professionals
Show steps
Gain practical insights and interact with experts by attending a workshop designed for non-technical audiences.
Browse courses on
AI for Business
Show steps
Show steps
Show steps
- Identify and register for a relevant workshop.
- Attend the workshop and actively participate in discussions.
- Network with other attendees and industry professionals.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Explore case studies on AI implementation
Show steps
Learn from real-world examples to enhance understanding of AI applications and implementation strategies.
Show steps
Show steps
Show steps
- Identify case studies relevant to your industry or interests.
- Analyze the business problem addressed, AI techniques used, and outcomes achieved.
- Discuss findings and insights with peers or mentors.
Participate in group discussions on AI applications
Show steps
Engage with peers to exchange ideas, discuss real-world applications, and enhance understanding of AI's impact.
Browse courses on
AI Applications
Show steps
Show steps
Show steps
- Join or create a study group focused on AI applications.
- Prepare talking points or research specific use cases to share with the group.
- Actively participate in discussions, ask questions, and contribute insights.
Explore online tutorials on AI tools and technologies
Show steps
Expand knowledge and gain hands-on experience with practical AI tools and technologies.
Browse courses on
AI Tools
Show steps
Show steps
Show steps
- Identify platforms or websites offering tutorials on AI tools or technologies.
- Select tutorials aligned with your learning objectives.
- Follow the tutorials, experiment with the tools, and apply the concepts learned.
Compile a glossary of AI terms and definitions
Show steps
Solidify understanding by creating a comprehensive reference of key AI concepts and terminology.
Show steps
Show steps
Show steps
- Gather definitions from course materials, textbooks, and online resources.
- Organize and categorize terms logically.
- Create a document, spreadsheet, or other format for easy reference.
Develop a presentation on AI's potential impact on your industry
Show steps
Deepen understanding and demonstrate proficiency by creating a presentation that explores AI's implications for a specific industry.
Show steps
Show steps
Show steps
- Research and analyze the potential impact of AI on your chosen industry.
- Develop a clear and engaging presentation structure.
- Create slides with supporting data, examples, and insights.
- Practice delivering your presentation to receive feedback and refine your content.
Career center
Learners who complete IA para todos will develop knowledge and skills
that may be useful to these careers:
Management Consultant
Management Consultant
A Management Consultant helps businesses solve problems and improve performance. This course can help you learn the basics of management consulting, including how to analyze business problems, how to develop solutions to business problems, and how to communicate your findings to others. This course may also be helpful for Management Consultants who want to learn more about the business side of AI.
Marketing Manager
Marketing Manager
A Marketing Manager is responsible for developing and executing marketing campaigns. This course can help you learn the basics of marketing, including how to identify target markets, how to develop marketing messages, and how to measure the effectiveness of marketing campaigns. This course may also be helpful for Marketing Managers who want to learn more about the business side of AI.
Sales Manager
Sales Manager
A Sales Manager is responsible for leading and managing a sales team. This course can help you learn the basics of sales management, including how to recruit and train salespeople, how to motivate and manage salespeople, and how to close deals. This course may also be helpful for Sales Managers who want to learn more about the business side of AI.
Data Scientist
Data Scientist
A Data Scientist analyzes data, looking for trends and patterns that can be used to make better decisions. This course can help you learn the basics of data science, including how to collect and clean data, how to analyze data using statistical techniques, and how to communicate your findings to others. This course may also be helpful for Data Scientists who want to learn more about the business side of AI.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and deploys machine learning models. This course can help you learn the basics of machine learning, including how to choose the right machine learning algorithm for a given task, how to train and evaluate machine learning models, and how to deploy machine learning models to production. This course may also be helpful for Machine Learning Engineers who want to learn more about the business side of AI.
Business Analyst
Business Analyst
A Business Analyst helps businesses identify and solve problems. This course can help you learn the basics of business analysis, including how to analyze business processes, how to develop solutions to business problems, and how to communicate your findings to others. This course may also be helpful for Business Analysts who want to learn more about the business side of AI.
Data Analyst
Data Analyst
A Data Analyst collects, cleans, and analyzes data to help businesses make better decisions. This course can help you learn the basics of data analysis, including how to collect and clean data, how to analyze data using statistical techniques, and how to communicate your findings to others. This course may also be helpful for Data Analysts who want to learn more about the business side of AI.
Financial Analyst
Financial Analyst
A Financial Analyst analyzes financial data to help businesses make investment decisions. This course can help you learn the basics of financial analysis, including how to read financial statements, how to evaluate companies, and how to make investment recommendations. This course may also be helpful for Financial Analysts who want to learn more about the business side of AI.
Product Manager
Product Manager
A Product Manager is responsible for the development and launch of new products. This course can help you learn the basics of product management, including how to identify customer needs, how to develop product specifications, and how to launch new products to market. This course may also be helpful for Product Managers who want to learn more about the business side of AI.
Operations Manager
Operations Manager
An Operations Manager is responsible for the day-to-day operations of a business. This course can help you learn the basics of operations management, including how to plan and schedule work, how to manage inventory, and how to improve efficiency. This course may also be helpful for Operations Managers who want to learn more about the business side of AI.
Artificial Intelligence Engineer
Artificial Intelligence Engineer
An AI Engineer designs, develops, and deploys AI systems. This course can help you learn the basics of AI, including how to choose the right AI algorithm for a given task, how to train and evaluate AI models, and how to deploy AI models to production. This course may also be helpful for AI Engineers who want to learn more about the business side of AI.
AI Researcher
AI Researcher
An AI Researcher develops new AI algorithms and techniques. This course can help you learn the basics of AI, including how to choose the right AI algorithm for a given task, how to train and evaluate AI models, and how to deploy AI models to production. This course may also be helpful for AI Researchers who want to learn more about the business side of AI.
AI Product Manager
AI Product Manager
An AI Product Manager is responsible for the development and launch of new AI products. This course can help you learn the basics of product management, including how to identify customer needs, how to develop product specifications, and how to launch new products to market. This course may also be helpful for AI Product Managers who want to learn more about the business side of AI.
AI Marketing Manager
AI Marketing Manager
An AI Marketing Manager is responsible for developing and executing marketing campaigns for AI products. This course can help you learn the basics of marketing, including how to identify target markets, how to develop marketing messages, and how to measure the effectiveness of marketing campaigns. This course may also be helpful for AI Marketing Managers who want to learn more about the business side of AI.
AI Sales Manager
AI Sales Manager
An AI Sales Manager is responsible for leading and managing a sales team that sells AI products. This course can help you learn the basics of sales management, including how to recruit and train salespeople, how to motivate and manage salespeople, and how to close deals. This course may also be helpful for AI Sales Managers who want to learn more about the business side of AI.
For more career information including salaries, visit:
OpenCourser.com/course/p5lu8a/ia
Reading list
We've selected seven 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
IA para todos.
Save
Este libro proporciona una guía completa del aprendizaje profundo, cubriendo teoría, algoritmos y aplicaciones prácticas. Es útil para los estudiantes que desean especializarse en el aprendizaje profundo.
Save
Explores the potential risks and benefits of superintelligence, and discusses strategies for mitigating the risks. It is useful for students who want to understand the existential challenges posed by AI.
Save
This textbook provides a comprehensive introduction to machine learning, covering theoretical concepts and practical algorithms. It is useful for students who want to delve deeper into machine learning.
Explores the ethical implications of AI, covering topics such as privacy, fairness, and accountability. It is useful for students who want to understand the ethical challenges posed by AI.
Save
Explores the potential impact of AI on humanity, covering topics such as the singularity, transhumanism, and the future of work. It is useful for students who want to think about the broader implications of AI for society.
Este libro ofrece una exploración en profundidad de los principios y algoritmos de la IA. Proporciona contexto adicional para los temas cubiertos en el curso.
Save
Este libro es un recurso integral para aquellos interesados en profundizar en el aprendizaje profundo. Cubre temas avanzados que complementan los fundamentos discutidos en el curso.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/p5lu8a/ia
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Effort
4 weeks of study, 2-3 hours/week
Level
Introductory
Via
Coursera
Institution
DeepLearning.AI
Instructor
Andrew Ng
Language
Español
Transcripts
English
Français
Português
Deutsch
Italiano
中文
العربية
한국어
日本語
हिंदी
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українська мова
magyar nyelv
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اُردُو,
فارسی
বাংলা
tiếng Việt
پښتو
آذربایجان دیلی
Good to know
Esta dirigido a quienes buscan comprender la IA para desempeñarse en un entorno de trabajo más preparado
Si bien es no técnico, los ingenieros pueden tomarlo para aprender lo comercial de la IA
El Instructor Andrew Ng es reconocido por su trabajo en IA
El plan de estudios incluye temas fundamentales de IA como redes neuronales y aplicaciones empresariales
Los alumnos implementarán proyectos de IA en el curso
Se abordan las consideraciones éticas y sociales sobre la IA
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