In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. You will be exposed to various issues and concerns surrounding AI such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI. You will also demonstrate AI in action with a mini project.
ofrecido por
IBMAcerca de este Curso
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Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel principiante
This course is for everyone. No prior backround in computer science or programming is necessary.
Aprox. 8 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
Qué aprenderás
Understand what is AI, its applications and use cases and how it is transforming our lives
Explain terms like Machine Learning, Deep Learning and Neural Networks
Describe several issues and ethical concerns surrounding AI
Articulate advice from experts about learning and starting a career in AI
Habilidades que obtendrás
Data ScienceDeep LearningArtificial Intelligence (AI)JobsMachine Learning
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel principiante
This course is for everyone. No prior backround in computer science or programming is necessary.
Aprox. 8 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
ofrecido por
IBM
IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame.
Programa - Qué aprenderás en este curso
1 hora para completar
What is AI? Applications and Examples of AI
This week, you will learn what AI is. You will understand its applications and use cases and how it is transforming our lives.
1 hora para completar
8 videos (Total 36 minutos), 3 lecturas, 1 cuestionario
8 videos
What is AI?3m
Optional: Tanmay’s journey and take on AI5m
Impact and Examples of AI3m
Optional: Application Domains for AI5m
Some Applications of AI5m
Optional: More Applications of AI3m
Famous applications of AI from IBM5m
3 lecturas
Who should take this course?2m
Lesson Summary10m
Lesson Summary10m
1 ejercicio de práctica
Graded: What is AI? Applications and Examples of AI20m
2 horas para completar
AI Concepts, Terminology, and Application Areas
This week, you will learn about basic AI concepts. You will understand how AI learns, and what some of its applications are.
2 horas para completar
9 videos (Total 34 minutos), 3 lecturas, 1 cuestionario
9 videos
Terminology and Related Concepts3m
Machine Learning4m
Machine Learning Techniques and Training4m
Deep Learning2m
Neural Networks3m
Key Fields of Application in AI4m
Natural Language Processing, Speech, Computer Vision4m
Self Driving Cars4m
3 lecturas
Lesson Summary10m
Lesson Summary10m
Lesson Summary10m
1 ejercicio de práctica
Graded: AI Concepts, Terminology, and Application Areas30m
2 horas para completar
AI: Issues, Concerns and Ethical Considerations
This week, you will learn about issues and concerns surrounding AI, including - ethical considerations, bias, jobs, etc. - their impact on society. This information will help you to have an informed discussion on the costs and benefits of AI, and reassure decision makers about implementing an AI solution.
2 horas para completar
6 videos (Total 25 minutos), 3 lecturas, 2 cuestionarios
6 videos
AI and Ethical Concerns4m
AI and Bias2m
AI: Ethics, Bias, and Trust4m
Jobs and AI4m
Employment and AI3m
3 lecturas
AI working for good15m
Principles for ethical AI10m
Lesson Summary10m
2 ejercicios de práctica
Review Questions for Readings (Not Graded)18m
Graded: AI Issues, Ethics and Bias20m
3 horas para completar
The Future with AI, and AI in Action
This week, you will learn about the current thinking on the future with AI, as well as hear from experts about their advice to learn and start a career in AI. You will also demonstrate AI in action by utilizing Computer Vision to classify images.
3 horas para completar
7 videos (Total 28 minutos), 5 lecturas, 2 cuestionarios
7 videos
Future with AI4m
The AI Ladder - The Journey for Adopting AI Successfully2m
Advice for a career in AI5m
Hotbeds of AI Innovation3m
Tanmay’s Advice to Learn AI3m
Polong’s Advice for a Job in AI4m
5 lecturas
What’s next for AI?15m
What will our society look like when AI is everywhere?10m
Lesson Summary10m
Lesson Summary5m
Conclusion and Next Steps10m
1 ejercicio de práctica
Final Assignment Part One15m
Reseñas
Principales reseñas sobre INTRODUCTION TO ARTIFICIAL INTELLIGENCE (AI)
por SC8 de abr. de 2020
The course design is excellent specially for beginners to study and understand the basic concepts in Artificial Intelligence. The lessons and course material are perfect and apt for this course-level.
por JM2 de ago. de 2020
This introduction course is a great way to start your way in the AI world. It gives some advice that will give an idea to newbies on what to learn particularly they recommended to learn math and stat.
por SB1 de ago. de 2020
This is a good course to get you started with AI if you had no previous idea of the same, also it does a pretty good job of explaining the most basic ideas, terminologies and technologies behind AI !
por BL12 de ago. de 2020
Good introductory course, would be great a more detailed view of the IBM Cloud platform and how to create your on project and do your own AIs, but understand that was not the purpose of this course.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
El acceso a las clases y las asignaciones depende del tipo de inscripción que tengas. Si tomas un curso en modo de oyente, verás la mayoría de los materiales del curso en forma gratuita. Para acceder a asignaciones calificadas y obtener un certificado, deberás comprar la experiencia de Certificado, ya sea durante o después de participar como oyente. Si no ves la opción de oyente:
- es posible que el curso no ofrezca la opción de participar como oyente. En cambio, puedes intentar con una Prueba gratis o postularte para recibir ayuda económica.
- Es posible que el curso ofrezca la opción 'Curso completo, sin certificado'. Esta opción te permite ver todos los materiales del curso, enviar las evaluaciones requeridas y obtener una calificación final. También significa que no podrás comprar una experiencia de Certificado.
¿Qué recibiré si me suscribo a este Certificado?
Cuando te inscribes en un curso, obtienes acceso a todos los cursos del Certificado y te darán un certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.
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