AI in Production_Thiết kế sản phẩm TTNT
AI in Production
- Tín chỉ
- 3
- Bậc
- Bachelor
- Thang điểm
- 10
- Điểm qua
- 5
Mô tả
This six course specialization is designed to prepare you to take the certification examination for IBM AI Enterprise Workflow V1 Data Science Specialist. IBM AI Enterprise Workflow is a comprehensive, end-to-end process that enables data scientists to build AI solutions, starting with business priorities and working through to taking AI into production. The learning aims to elevate the skills of practicing data scientists by explicitly connecting business priorities to technical implementations, connecting machine learning to specialized AI use cases such as visual recognition and NLP, and connecting Python to IBM Cloud technologies. The videos, readings, and case studies in these courses are designed to guide you through your work as a data scientist at a hypothetical streaming media company. Throughout this specialization, the focus will be on the practice of data science in large, modern enterprises. You will be guided through the use of enterprise-class tools on the IBM Cloud, tools that you will use to create, deploy and test machine learning models. Your favorite open source tools, such as Jupyter notebooks and Python libraries will be used extensively for data preparation and building models. Models will be deployed on the IBM Cloud using IBM Watson tooling that works seamlessly with open source tools.
Phân bổ thời gian
Study hour (150h) = 50h online + 3h offline + 1h final exam + 96h self-study
Nhiệm vụ sinh viên
'Student must get the certification of IBM AI Enterprise Workflow Specialization from Coursera to be accepted to the final examination
Lưu ý
1. Final Exam included Final Theory Exam (TE): 100% 2. Students who complete all MOOCs before the course deadline will receive 1 bonus point; otherwise, no bonus point will be awarded. 3.Completion Criteria: Final TE Score >=4 & (Final TE Score + bonus) >= 5 4. Complete the online courses and get all specialization certifications to be allowed to take the Final Exam