Acerca de este Curso
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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. 9 horas para completar

Sugerido: 4 weeks of study, 1-2 hours per week...

Inglés (English)

Subtítulos: Inglés (English)

Qué aprenderás

  • Check

    Understand what is AI, its applications and use cases and how it is transforming our lives

  • Check

    Explain terms like Machine Learning, Deep Learning and Neural Networks

  • Check

    Describe several issues and ethical concerns surrounding AI

  • Check

    Articulate advice from experts about learning and starting a career in AI

Habilidades que obtendrás

Data ScienceDeep LearningArtificial Intelligence (AI)JobsMachine Learning

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. 9 horas para completar

Sugerido: 4 weeks of study, 1-2 hours per week...

Inglés (English)

Subtítulos: Inglés (English)

Programa - Qué aprenderás en este curso

Semana
1
2 horas para completar

What is AI? Applications and Examples of AI

10 videos (Total 43 minutos), 3 lecturas, 1 cuestionario
10 videos
Introduction to the course1m
What is AI?3m
Introducing AI3m
Optional: Tanmay’s journey and take on AI5m
Impact and Examples of AI3m
Application Domains for AI5m
Some Applications of AI5m
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
Semana
2
2 horas para completar

AI Concepts, Terminology, and Application Areas

9 videos (Total 34 minutos), 5 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
5 lecturas
Lesson Summary10m
Hands On Lab: Paint with AI20m
Lesson Summary10m
Hands On Lab: Computer Vision20m
Lesson Summary10m
1 ejercicio de práctica
Graded: AI Concepts, Terminology, and Application Areas20m
Semana
3
2 horas para completar

AI: Issues, Concerns and Ethical Considerations

6 videos (Total 25 minutos), 4 lecturas, 2 cuestionarios
6 videos
AI and Ethical Concerns4m
AI and Bias2m
AI: Ethics, Bias, and Trust4m
Jobs and AI4m
Employment and AI3m
4 lecturas
[Optional] Hands On Lab: Detect the Bias20m
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
Semana
4
3 horas para completar

The Future with AI, and AI in Action

6 videos (Total 26 minutos), 7 lecturas, 2 cuestionarios
6 videos
Future with AI4m
Advice for a career in AI5m
Hotbeds of AI Innovation3m
Tanmay’s Advice to Learn AI3m
Polong’s Advice for a Job in AI4m
7 lecturas
What’s next for AI?15m
What will our society look like when AI is everywhere?10m
Lesson Summary10m
Lesson Summary5m
Exercise: Identifying objects in images with IBM Watson5m
Hands on Lab: Classify your images with AI!30m
Conclusion and Next Steps10m
1 ejercicio de práctica
Final Assignment Part One15m
4.7
217 revisionesChevron Right

Principales revisiones sobre Introduction to Artificial Intelligence (AI)

por DROct 11th 2019

This course is very useful for those who have not aware about the artificial intelligence.\n\nThe course contents are very well organized\n\nHands on training may be improved

por ACNov 3rd 2019

This is highly informative, easy to understand.\n\nThe videos make it more interesting.\n\nTests and assignment are good and really test your understanding of the subject.

Instructor

Avatar

Rav Ahuja

AI and Data Science Program Director
IBM

Acerca de 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....

Preguntas Frecuentes

  • Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.

  • 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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