Implementation Strategies: AI and Cognitive Computing
- Gain an in-depth understanding of AI technology standards and terminology, and acquire skills to successfully evaluate and implement AI and ... mehr...
Gain an in-depth understanding of AI technology standards and terminology, and acquire skills to successfully evaluate and implement AI and cloud computing technology within an enterprise architecture context.weniger
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- Artificial Intelligence (AI) is set to radically disrupt how we do business. Yet for all the hype, many businesses lack the concrete knowledge to successfully implement AI and cognitive computing initiatives. Designed for leaders operating at the intersection of IT and business, this course builds on the teachings in Course 1: Emerging Technologies in an Enterprise Environment but this time delving specifically into AI technology standards and terminology, focusing on the framework introduced by National Institute of Standards and Technology. Drawing on real-life case studies and applications, analyze ethical considerations and learn about AI breakthroughs and success stories. Learn the mechanisms and implementation steps needed to successfully enable and implement your organizationâs business goals. Learners will review AI and cognitive computing within an overarching enterprise architecture context, considering factors such as risk management, open source vs. proprietary, redundancy, security and growth. You will apply program teachings to your own specific use cases, and will get to complete the end-to-end process from technology selection to workplace adoption. It is recommended you complete Course 1: Emerging Technologies in an Enterprise Environment before enrolling in this course. Verified learners who complete all three courses in this series will receive an edX Professional Certificate in AI and Cloud Computing: Implementation Strategies for Business.
- USD 149
- Nächste Durchführungsdaten
- 14. Oktober 2021-31. Dezember 2022