Sobre este Certificado profissional
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cursos 100% online

Comece imediatamente e aprenda em seu próprio cronograma.

Cronograma flexível

Definição e manutenção de prazos flexíveis.

Nível iniciante

Aprox. 3 meses para completar

12 horas/semana sugeridas


Legendas: Inglês, Coreano, Alemão

Habilidades que você terá

Deep LearningArtificial Intelligence (AI)Machine LearningwatsonTensorflow

cursos 100% online

Comece imediatamente e aprenda em seu próprio cronograma.

Cronograma flexível

Definição e manutenção de prazos flexíveis.

Nível iniciante

Aprox. 3 meses para completar

12 horas/semana sugeridas


Legendas: Inglês, Coreano, Alemão

What is a Professional Certificate?

Adquira o conhecimento para garantir uma vaga

Whether you’re looking to start a new career, or change your current one, Professional Certificates on Coursera help you become job ready. Learn at your own pace, whenever and wherever it’s most convenient for you. Enroll today and explore a new career path with a 7 day free trial. You can pause your learning or end your subscription at any time.

Hands-On Projects

Use o conhecimento adquirido com projetos práticos e crie um portfólio que mostre que é o candidato ideal a possíveis empregadores. Você precisará concluir o(s) projeto(s) para receber o Certificado.

Earn a Career Credential

When you complete all of the courses in the program, you'll earn a Certificate to share with your professional network as well as unlock access to career support resources to help you kickstart your new career. Many Professional Certificates have hiring partners that recognize the Professional Certificate credential and others can help prepare you for a certification exam. You can find more information on individual Professional Certificate pages where it applies.

how it works

Este Certificado profissional contém 12 cursos


Introduction to Artificial Intelligence (AI)

377 classificações
84 avaliações

Getting Started with AI using IBM Watson

119 classificações
19 avaliações

Building AI Powered Chatbots Without Programming

287 classificações
74 avaliações

Python for Data Science and AI

6,921 classificações
925 avaliações



Joseph Santarcangelo

Ph.D., Data Scientist at IBM
IBM Developer Skills Network

Yi Leng Yao

MSc., Data Scientist, Software Engineer
IBM Skills Network

Alex Aklson

Ph.D., Data Scientist
IBM Developer Skills Network

Sacchit Chadha

Software Engineer @ IBM | Rising Computer Science Senior @ UWaterloo

Rav Ahuja

AI and Data Science Program Director


Ph.D., Sr. Data Scientist
IBM Developer Skills Network

Romeo Kienzler

Chief Data Scientist, Course Lead
IBM Watson IoT

Tanmay Bakshi

AI Evangelist & Watson Developer

Antonio Cangiano

Software Developer and Technical Evangelist
IBM Developer Skills Network

Sobre 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....

Perguntas Frequentes – FAQ

  • Sim! Para começar, clique no cartão do curso que lhe interessa e se inscreva. Você pode se inscrever e completar o curso para obter um certificado compartilhável, ou pode participar como ouvinte e assistir o material do curso sem custo. Quando você se inscreve em um curso que é parte de um certificado, está automaticamente inscrito ao certificado completo. Visite o painel do aluno para acompanhar seu progresso.

  • Este curso é totalmente on-line, então não existe necessidade de aparecer em uma sala de aula pessoalmente. Você pode acessar suas palestras, leituras e atribuições a qualquer hora e qualquer lugar, via web ou dispositivo móvel.

  • This Professional Certificate consists of 12 courses. Each course entails 6-12 hours of effort. If learning part-time (approx 4-6 hours per week), and completing each course within the recommended 4-6 weeks timeframe, this program can be completed within one year. However, if learninig full-time (approx 4 to 6 hours per day), the entire program can even be completed within 3 to 4 months.

  • No prior background in AI, computer science or programming is necessary. As a part of the program you will learn the Python programming language. High School level Mathematics is required for the second half of the certificate (i.e. for the Machine Learning and Deep Learning courses). Although not a strict requirement, knowledge of Calculus and entry level Linear Algebra is an asset for Deep Learning.

  • Many courses build upon skills learned in previous courses. Therefore it is highly recommended to take the courses in the suggested order.

  • At this stage university credit is not available for the courses in this Professional Certificate.

  • Upon completing this Professional Certificate, you will be able to:

    • Describe what is AI, its applications & use cases, and how its transforming our lives
    • Explain terms like Machine Learning (ML), Deep Learning (DL) and Neural Networks
    • Identify various Watson AI services from IBM and what they can be used for
    • Describe how AI-powered chatbot technology works and its applications
    • Create a customer support chatbot and add it to a website
    • Practice basics of Python programming language using Jupyter notebooks on IBM Cloud
    • Apply Python programming concepts for data science and AI
    • Utilize multiple Watson AI services and APIs together to build smart applications
    • Deploy speech enabled virtual assistants with domain intelligence to Facebook, etc.
    • Explain what computer vision is and its applications
    • Build and train custom image classifiers using Watson, Python and OpenCV
    • Create an interactive computer vision web application and deploy it on IBM Cloud
    • Explain ML algorithms including Classification, Regression, Clustering, and Dimensional Reduction
    • Implement Supervised and Unsupervised ML models using scipy and scikitlearn
    • Express how Apache Spark works and how to perform Machine Learning on Big Data
    • Deploy ML Algorithms and Pipelines on Apache Spark
    • Demonstrate an understanding of Deep Learning models such as autoencoders, restricted Boltzmann machines,  convolutional networks, recursive neural networks, and recurrent networks
    • Build deep learning models and neural networks using the Keras library
    • Utilize the PyTorch library for Deep Learning applications and build Deep Neural Networks
    • Explain foundational TensorFlow concepts like main functions, operations & execution pipelines
    • Apply deep learning using TensorFlow and perform backpropagation to tune the weights and biases
    • Determine what kind of deep learning method to use in which situation and build a deep learning model to solve a real problem
    • Demonstrate ability to present and communicate outcomes of deep learning projects
  • No specialized hardware and software is required to complete these courses. Learners only require a modern web browser (recent versions of Chrome or Firefox) to complete the courses. All hands-on labs and projects will be performed from web browsers using IBM Cloud based environments and Watson AI services, available at no charge to the learners.

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