IBM AI Engineering 전문 자격증
Launch your career as an AI engineer. Learn how to provide business insights from big data using machine learning and deep learning techniques.
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응용 학습 프로젝트
Throughout the program, you will build a portfolio of projects demonstrating your mastery of course topics. The hands-on projects will give you a practical working knowledge of Machine Learning libraries and Deep Learning frameworks such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow. You will also complete an in-depth Capstone Project, where you’ll apply your AI and Neural Network skills to a real-world challenge and demonstrate your ability to communicate project outcomes.
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관련 경험이 어느 정도 필요합니다.
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.
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전문 분야를 완료하면 대학 학점을 받을 수 있나요?
Can I just enroll in a single course?
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이 강좌는 100% 온라인으로 진행되나요? 직접 참석해야 하는 수업이 있나요?
What are some examples of careers in artificial intelligence?
How long does it take to complete the Professional Certificate?
What background knowledge is necessary?
Do I need to take the courses in a specific order?
Will I earn university credit for completing the Professional Certificate?
What will I be able to do upon completing the Professional Certificate?
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