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.
oferecido por
IBMInformações sobre o curso
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Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível iniciante
This course is for everyone. No prior backround in computer science or programming is necessary.
Aprox. 8 horas para completar
Inglês
Legendas: Inglês
O que você vai aprender
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 você terá
Data ScienceDeep LearningArtificial Intelligence (AI)JobsMachine Learning
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível iniciante
This course is for everyone. No prior backround in computer science or programming is necessary.
Aprox. 8 horas para completar
Inglês
Legendas: Inglês
oferecido 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 - O que você aprenderá com este curso
1 hora para concluir
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 concluir
8 vídeos (Total 36 mín.), 3 leituras, 1 teste
8 videos
Introducing AI3min
What is AI?3min
Optional: Tanmay’s journey and take on AI5min
Impact and Examples of AI3min
Optional: Application Domains for AI5min
Some Applications of AI5min
Optional: More Applications of AI3min
Famous applications of AI from IBM5min
3 leituras
Who should take this course?2min
Lesson Summary10min
Lesson Summary10min
1 exercício prático
Graded: What is AI? Applications and Examples of AI20min
2 horas para concluir
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 concluir
9 vídeos (Total 34 mín.), 5 leituras, 1 teste
9 videos
Terminology and Related Concepts3min
Machine Learning4min
Machine Learning Techniques and Training4min
Deep Learning2min
Neural Networks3min
Key Fields of Application in AI4min
Natural Language Processing, Speech, Computer Vision4min
Self Driving Cars4min
5 leituras
Lesson Summary10min
Hands On Lab: Paint with AI20min
Lesson Summary10min
Hands On Lab: Computer Vision20min
Lesson Summary10min
1 exercício prático
Graded: AI Concepts, Terminology, and Application Areas20min
2 horas para concluir
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 concluir
6 vídeos (Total 25 mín.), 4 leituras, 2 testes
6 videos
AI and Ethical Concerns4min
AI and Bias2min
AI: Ethics, Bias, and Trust4min
Jobs and AI4min
Employment and AI3min
4 leituras
[Optional] Hands On Lab: Detect the Bias20min
AI working for good15min
Principles for ethical AI10min
Lesson Summary10min
2 exercícios práticos
Review Questions for Readings (Not Graded)18min
Graded: AI Issues, Ethics and Bias20min
3 horas para concluir
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 concluir
7 vídeos (Total 28 mín.), 7 leituras, 2 testes
7 videos
Future with AI4min
The AI Ladder - The Journey for Adopting AI Successfully2min
Advice for a career in AI5min
Hotbeds of AI Innovation3min
Tanmay’s Advice to Learn AI3min
Polong’s Advice for a Job in AI4min
7 leituras
What’s next for AI?15min
What will our society look like when AI is everywhere?10min
Lesson Summary10min
Lesson Summary5min
Introduction to the Hands-on Exercise5min
Hands on Lab: Classify your images with AI!30min
Conclusion and Next Steps10min
1 exercício prático
Final Assignment Part One15min
Avaliações
Principais avaliações do 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 VM22 de Jun de 2020
Course is satisfactory and creative way of new method of teaching process that helps every one to understand theoretically and provides hands on online lab practice session with various IBM tools.
por LG6 de Jul de 2020
This course content was wonderful. I have learned more idea of A.I. with the latest applications. I wish to move forward with an A.I. career. Thank you for such an excellent certification course.
por RS14 de Fev de 2020
Its an great platform to learn the INTRODUCTION TO ARTIFICIAL INTELLIGENCE(AI) in Coursera i have learned new things related to ai and Watson Studio by Ibm cloud was Awesome Experience to me..
Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
- The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
- The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
O que recebo ao me inscrever para este certificado?
Quando você se inscreve em um curso, ganha acesso a todos os cursos no certificado e obtém um certificado quando completar o trabalho. Seu certificado eletrônico pode ser adicionado à sua página de Participações, de onde você pode imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, pode participar como ouvinte sem custo.
Qual é a política de reembolso?
Se você se inscrever, terá 7 dias para testar sem custo e, durante este período, pode cancelar sem multa. Depois disso, não reembolsamos, mas você pode cancelar sua inscrição a qualquer momento. Veja nossa política para o reembolso total.
Ganharei créditos universitários por concluir o curso?
Este curso não oferece créditos universitários, mas algumas universidades podem aceitar certificados de cursos que podem ser convertidos em créditos. Entre em contato com sua instituição para saber mais. Com os cursos on-line e os certificados Mastertrack™ do Coursera, é possível ganhar créditos universitários.
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