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
IBM
Informações sobre o curso
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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
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. 9 horas para completar
Sugerido: 4 weeks of study, 1-2 hours per week
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
6 vídeos (Total 26 mín.), 7 leituras, 2 testes
6 videos
Future with AI4min
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
Principais avaliações do Introduction to Artificial Intelligence (AI)
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..
Great Module to understand basic AI & how it will be useful . Watson lab was worth doing, it very interesting how AI is classifying the object in picture. Will be doing next module shortly.
Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.
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.
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