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Rav Ahuja
En este curso aprenderá qué es la Inteligencia Artificial (IA), explorará casos de uso y aplicaciones de IA, comprenderá conceptos y términos de IA como aprendizaje automático, aprendizaje profundo y redes neuronales. Estará expuesto a varios problemas y preocupaciones relacionados con la IA, como la ética y el sesgo, y los trabajos, y recibirá consejos de expertos sobre cómo aprender y comenzar una carrera en IA. También demostrará AI en acción con un mini proyecto.
Este curso no requiere ninguna experiencia en programación o ciencias de la computación y está diseñado para presentar los conceptos básicos de inteligencia...
Read more
En este curso aprenderá qué es la Inteligencia Artificial (IA), explorará casos de uso y aplicaciones de IA, comprenderá conceptos y términos de IA como aprendizaje automático, aprendizaje profundo y redes neuronales. Estará expuesto a varios problemas y preocupaciones relacionados con la IA, como la ética y el sesgo, y los trabajos, y recibirá consejos de expertos sobre cómo aprender y comenzar una carrera en IA. También demostrará AI en acción con un mini proyecto.
Este curso no requiere ninguna experiencia en programación o ciencias de la computación y está diseñado para presentar los conceptos básicos de inteligencia...
Read more
En este curso aprenderá qué es la Inteligencia Artificial (IA), explorará casos de uso y aplicaciones de IA, comprenderá conceptos y términos de IA como aprendizaje automático, aprendizaje profundo y redes neuronales. Estará expuesto a varios problemas y preocupaciones relacionados con la IA, como la ética y el sesgo, y los trabajos, y recibirá consejos de expertos sobre cómo aprender y comenzar una carrera en IA. También demostrará AI en acción con un mini proyecto.
Este curso no requiere ninguna experiencia en programación o ciencias de la computación y está diseñado para presentar los conceptos básicos de inteligencia artificial a cualquier persona, ya sea que tenga una formación técnica o no.
Esta es una traducción al español de un curso que se creó originalmente en inglés. Muchos de los componentes del curso se han traducido al español, incluidos títulos de lecciones, transcripciones de videos, lecturas, instrucciones de laboratorio y cuestionarios. Sin embargo, algunos componentes del curso, incluidos los videos originales y su narración, todavía están en inglés.
Register for this course and see more details by visiting:
OpenCourser.com/course/jpsgtr/introduccion
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Builds a strong foundation for beginners who have limited or no exposure to AI
Provides in-depth, comprehensive coverage of the foundational concepts of AI
Incorporates hands-on mini projects to reinforce learning and provide practical experience
Taught by industry experts with extensive experience in AI, providing up-to-date insights
Covers a wide range of AI topics, making it suitable for learners with varying interests in the field
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Reviews summary
Introducción a la ia: curso fácil para principiantes
Este curso en español ofrece una sólida base en Inteligencia Artificial (IA), cubriendo conceptos esenciales como aprendizaje automático, aprendizaje profundo y redes neuronales. Si bien algunos componentes permanecen en inglés, los estudiantes aprecian la variedad de recursos y el ritmo accesible. Aunque se menciona que algunos laboratorios están desactualizados, el curso mantiene una alta calificación general debido a su contenido informativo y fácil de entender.
Combina explicaciones claras, ejemplos y actividades prácticas.
"El curso muy practico y explicativo. Muy buenos ejemplos y contenido comprensible"
Adecuado para quienes carecen de experiencia en programación o informática.
"Excelente curso para iniciar en la IA..."
Presenta conceptos de IA de manera completa y accesible.
"Excelente curso y muy bien diseñado."
"Este curso es una excelente introducción a la IA, motiva a continuar estudiando y aprendiendo sobre el tema."
Requiere crear una cuenta de IBM con información de pago, lo cual no se aclara previamente.
"Buen curso introductorio con buenas actividades prácticas. Sin embargo requiere realizar una cuenta en IBM que necesita agregar una tarjeta como medio de pago ..."
Algunos componentes aún están en inglés y algunos laboratorios están desactualizados.
"Algunos componentes del curso, incluidos los videos originales y su narración, todavía están en inglés."
"Se aprenden cosas interesantes, pero la tarea final está desactualizada."
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 Introducción a La Inteligencia Artificial (IA) with these
activities:
Review previous coursework or study materials related to computer science
Show steps
Strengthen your foundation by reviewing fundamental computer science concepts, ensuring a smoother transition into AI.
Browse courses on
Data Structures
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-
Identify relevant coursework or study materials
-
Review key concepts and principles
-
Complete practice problems or exercises
Review 'Artificial Intelligence: A Modern Approach' by Russell and Norvig
Show steps
Establish a solid foundation in AI concepts through a comprehensive review of Russell and Norvig's renowned textbook.
Show steps
-
Read the assigned chapters
-
Take notes and highlight key concepts
-
Summarize the main ideas of each chapter
Join a study group and engage in discussions
Show steps
Collaborate with peers to exchange ideas, ask questions, and deepen your understanding of AI concepts through group discussions.
Browse courses on
AI Concepts
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-
Find a study group or create one
-
Discuss course materials and share insights
-
Work together on projects or assignments
Five other activities
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Complete the Coursera course 'Introduction to Artificial Intelligence'
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Supplement the course content with additional resources from Coursera, deepening your understanding of AI concepts.
Browse courses on
AI Fundamentals
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-
Enroll in the Coursera course
-
Watch the video lectures
-
Complete the practice exercises
Solve AI-related coding challenges on LeetCode
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Apply AI concepts in a practical setting by solving coding challenges, improving your problem-solving skills.
Browse courses on
Data Structures
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-
Create an account on LeetCode
-
Select AI-related problems
-
Solve the problems using appropriate algorithms
Build a simple AI model using a programming language
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Gain practical experience by developing a functional AI model, applying your knowledge of algorithms and data structures.
Browse courses on
Python
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-
Choose a programming language
-
Select a dataset and prepare it for modeling
-
Train and evaluate the AI model
Develop a presentation on a specific AI application
Show steps
Solidify your knowledge by creating a presentation that showcases your understanding of a particular AI application.
Browse courses on
Computer Vision
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-
Choose an AI application area
-
Research the application and its benefits
-
Create a visual presentation with key points
Attend an AI workshop or conference
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Expand your knowledge and network by attending industry events focused on AI, exposing you to the latest developments and insights.
Browse courses on
AI Trends
Show steps
-
Research upcoming AI workshops or conferences
-
Register and attend the event
-
Network with experts and fellow attendees
Review previous coursework or study materials related to computer science
Show steps
Strengthen your foundation by reviewing fundamental computer science concepts, ensuring a smoother transition into AI.
Browse courses on
Data Structures
Show steps
Show steps
Show steps
- Identify relevant coursework or study materials
- Review key concepts and principles
- Complete practice problems or exercises
Review 'Artificial Intelligence: A Modern Approach' by Russell and Norvig
Show steps
Establish a solid foundation in AI concepts through a comprehensive review of Russell and Norvig's renowned textbook.
Show steps
Show steps
Show steps
- Read the assigned chapters
- Take notes and highlight key concepts
- Summarize the main ideas of each chapter
Join a study group and engage in discussions
Show steps
Collaborate with peers to exchange ideas, ask questions, and deepen your understanding of AI concepts through group discussions.
Browse courses on
AI Concepts
Show steps
Show steps
Show steps
- Find a study group or create one
- Discuss course materials and share insights
- Work together on projects or assignments
Five other activities
Expand to see all activities and additional details
Show all eight activities
Complete the Coursera course 'Introduction to Artificial Intelligence'
Show steps
Supplement the course content with additional resources from Coursera, deepening your understanding of AI concepts.
Browse courses on
AI Fundamentals
Show steps
Show steps
Show steps
- Enroll in the Coursera course
- Watch the video lectures
- Complete the practice exercises
Solve AI-related coding challenges on LeetCode
Show steps
Apply AI concepts in a practical setting by solving coding challenges, improving your problem-solving skills.
Browse courses on
Data Structures
Show steps
Show steps
Show steps
- Create an account on LeetCode
- Select AI-related problems
- Solve the problems using appropriate algorithms
Build a simple AI model using a programming language
Show steps
Gain practical experience by developing a functional AI model, applying your knowledge of algorithms and data structures.
Browse courses on
Python
Show steps
Show steps
Show steps
- Choose a programming language
- Select a dataset and prepare it for modeling
- Train and evaluate the AI model
Develop a presentation on a specific AI application
Show steps
Solidify your knowledge by creating a presentation that showcases your understanding of a particular AI application.
Browse courses on
Computer Vision
Show steps
Show steps
Show steps
- Choose an AI application area
- Research the application and its benefits
- Create a visual presentation with key points
Attend an AI workshop or conference
Show steps
Expand your knowledge and network by attending industry events focused on AI, exposing you to the latest developments and insights.
Browse courses on
AI Trends
Show steps
Show steps
Show steps
- Research upcoming AI workshops or conferences
- Register and attend the event
- Network with experts and fellow attendees
Career center
Learners who complete Introducción a La Inteligencia Artificial (IA) will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models. You will work with data scientists to understand the business problem and develop the appropriate ML solution. The course "Introduction to Artificial Intelligence (AI)" covers the fundamentals of ML, including supervised and unsupervised learning, which are critical for success in this role.
Data Scientist
Data Scientist
As a Data Scientist, you will be responsible for transforming raw data into insights and making predictions. You will create and apply machine learning algorithms, and interpret and communicate results. By taking the course "Introduction to Artificial Intelligence (AI)" you will gain a foundational understanding of AI concepts, including machine learning, deep learning, and neural networks, which are essential for success in the field of data science.
Artificial Intelligence Engineer
Artificial Intelligence Engineer
As an Artificial Intelligence Engineer, you will be responsible for designing and developing AI systems. You will work with a team of engineers and scientists to create AI solutions that solve real-world problems. The course "Introduction to Artificial Intelligence (AI)" will provide you with a comprehensive overview of AI concepts and techniques, which will be invaluable in this role.
Software Engineer
Software Engineer
As a Software Engineer, you will be responsible for designing, developing, and testing software applications. You will work with a team of engineers and developers to create software solutions that meet the needs of the business. The course "Introduction to Artificial Intelligence (AI)" will provide you with a foundation in AI concepts and techniques, which can be applied to software development.
Data Analyst
Data Analyst
As a Data Analyst, you will be responsible for collecting, cleaning, and analyzing data to identify trends and patterns. You will work with a team of analysts and business users to provide insights that can help the business make better decisions. The course "Introduction to Artificial Intelligence (AI)" will provide you with a foundation in AI concepts and techniques, which can be applied to data analysis.
Business Analyst
Business Analyst
As a Business Analyst, you will be responsible for analyzing business processes and identifying opportunities for improvement. You will work with a team of analysts and business users to develop solutions that can help the business achieve its goals. The course "Introduction to Artificial Intelligence (AI)" will provide you with a foundation in AI concepts and techniques, which can be applied to business analysis.
Product Manager
Product Manager
As a Product Manager, you will be responsible for developing and managing the roadmap for a product. You will work with a team of engineers, designers, and marketers to bring a product to market and ensure that it meets the needs of the customer. The course "Introduction to Artificial Intelligence (AI)" will provide you with a foundation in AI concepts and techniques, which can be applied to product management.
Marketing Manager
Marketing Manager
As a Marketing Manager, you will be responsible for developing and executing marketing campaigns. You will work with a team of marketers and creatives to create marketing materials and campaigns that reach the target audience and achieve the desired results. The course "Introduction to Artificial Intelligence (AI)" will provide you with a foundation in AI concepts and techniques, which can be applied to marketing.
Sales Manager
Sales Manager
As a Sales Manager, you will be responsible for leading a team of sales representatives and achieving sales goals. You will work with a team of sales professionals to develop and execute sales strategies, and provide training and support to your team. The course "Introduction to Artificial Intelligence (AI)" will provide you with a foundation in AI concepts and techniques, which can be applied to sales.
Customer Success Manager
Customer Success Manager
As a Customer Success Manager, you will be responsible for ensuring that customers are happy and successful with your company's products or services. You will work with a team of customer success professionals to provide support and guidance to customers, and identify opportunities to improve the customer experience. The course "Introduction to Artificial Intelligence (AI)" will provide you with a foundation in AI concepts and techniques, which can be applied to customer success.
Operations Manager
Operations Manager
As an Operations Manager, you will be responsible for overseeing the day-to-day operations of a business. You will work with a team of operations professionals to ensure that the business runs smoothly and efficiently. The course "Introduction to Artificial Intelligence (AI)" will provide you with a foundation in AI concepts and techniques, which can be applied to operations management.
Financial Analyst
Financial Analyst
As a Financial Analyst, you will be responsible for analyzing financial data and making recommendations to clients. You will work with a team of financial professionals to provide insights into financial markets and investments. The course "Introduction to Artificial Intelligence (AI)" will provide you with a foundation in AI concepts and techniques, which can be applied to financial analysis.
Teacher
Teacher
As a Teacher, you will be responsible for educating students in a variety of subjects. You will work with a team of teachers to develop and implement lesson plans, and provide instruction to students. The course "Introduction to Artificial Intelligence (AI)" will provide you with a foundation in AI concepts and techniques, which can be applied to teaching.
Librarian
Librarian
As a Librarian, you will be responsible for managing a library and its collection of books, resources, and materials. You will work with a team of librarians to provide access to information and resources to the public. The course "Introduction to Artificial Intelligence (AI)" will provide you with a foundation in AI concepts and techniques, which can be applied to library science.
Writer
Writer
As a Writer, you will be responsible for creating written content for a variety of purposes. You will work with a team of writers to develop and produce written materials, such as articles, blog posts, and marketing copy. The course "Introduction to Artificial Intelligence (AI)" will provide you with a foundation in AI concepts and techniques, which can be applied to writing.
For more career information including salaries, visit:
OpenCourser.com/course/jpsgtr/introduccion
Reading list
We've selected 13 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
Introducción a La Inteligencia Artificial (IA).
Save
This authoritative reference provides a comprehensive overview of deep learning, covering theory, algorithms, and applications.
This practical guide offers hands-on experience with popular machine learning libraries, enabling learners to implement AI solutions.
This introductory text provides a rigorous treatment of reinforcement learning, offering insights into decision-making and optimization in AI.
This comprehensive guide to natural language processing techniques and tools offers valuable insights for AI applications involving text and language.
Save
This textbook covers the principles and algorithms of computer vision, providing a solid foundation for understanding image and video processing.
This advanced textbook provides a comprehensive treatment of probabilistic graphical models, offering insights into modeling complex systems and data.
This foundational textbook covers a wide range of statistical learning methods, including linear models, tree-based methods, and support vector machines.
This accessible textbook provides a gentle introduction to statistical learning, offering a practical approach to understanding and applying AI techniques.
This hands-on guide offers practical experience with machine learning algorithms using Python, covering a wide range of topics and real-world applications.
This concise guide focuses on building and training deep learning models using Python, providing a practical approach to AI development.
This practical book offers hands-on experience with machine learning algorithms using a variety of programming languages, emphasizing real-world applications.
This classic textbook provides a comprehensive overview of AI, covering a wide range of topics from knowledge representation to natural language processing.
This thought-provoking book offers a philosophical perspective on AI, exploring its implications for society, ethics, and the human condition.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/jpsgtr/introduccion
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Time
11 hours
Via
Coursera
Institutions
IBM
IBM Skills Network
Instructor
Rav Ahuja
Good to know
Builds a strong foundation for beginners who have limited or no exposure to AI
Provides in-depth, comprehensive coverage of the foundational concepts of AI
Incorporates hands-on mini projects to reinforce learning and provide practical experience
Taught by industry experts with extensive experience in AI, providing up-to-date insights
Covers a wide range of AI topics, making it suitable for learners with varying interests in the field
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