Certificate in AI Engineering - Digital Twins & Analytics offered by Carnegie Mellon University
- Private University
140 acre campus- Estd. 1900
Certificate in AI Engineering - Digital Twins & Analytics at Carnegie Mellon University Overview
Certificate in AI Engineering - Digital Twins & Analytics
at Carnegie Mellon University
Understand the concept of digital twins, their components, and their role in modeling real-world systems and processes
Duration | 9 months |
Start from | Start Now |
Total fee | ₹14.16 Lakh |
Mode of learning | Online |
Official Website | Go to Website  |
Course Level | UG Certificate |
Certificate in AI Engineering - Digital Twins & Analytics at Carnegie Mellon University Highlights
Certificate in AI Engineering - Digital Twins & Analytics
at Carnegie Mellon University
- Earn a certificate after completion of the course
- Fee can be paid in instalments
- Scholarship facility available
Certificate in AI Engineering - Digital Twins & Analytics at Carnegie Mellon University Course details
Certificate in AI Engineering - Digital Twins & Analytics
at Carnegie Mellon University
Who should do this course?
- Engineers in senior design
- Engineering and managerial roles who want comprehensive training in AI and digital twins so they can lead the adoption of this technology in the workplace
What are the course deliverables?
- How to determine when a digital twin is the right solution and how to build a business case for that solution within your organization
- How to characterize physical systems and how they are currently designed and operated
- How to identify the different types of virtual representations (VRs), their role in digital twins, and how they are being designed and used in design, engineering, operation and maintenance workflows of various facilities
- How data are assimilated, fused and visualized in a VR, how to maintain and update virtual models, and how to make decisions based on visualizations
- How to oversee the implementation of sensor integration and how to resolve measurement errors or data management issues that may occur
- How to create equitable engineering solutions by considering the ethical implications of data collection
More about this course
- In this course students will know how to execute the implementation of AI and digital twins in a responsible and ethical way that optimizes the systems, products and/or processes of their organization
- This course provides a comprehensive overview of digital twin technology and its applications across various industries, with a focus on leveraging AI and advanced analytics to enhance the performance, efficiency, and reliability of systems and processes
Certificate in AI Engineering - Digital Twins & Analytics at Carnegie Mellon University Curriculum
Certificate in AI Engineering - Digital Twins & Analytics
at Carnegie Mellon University
Principles of Digital Twins
Digital Twins and AI for Predictive Analytics
Certificate in AI Engineering - Digital Twins & Analytics at Carnegie Mellon University Entry Requirements
Certificate in AI Engineering - Digital Twins & Analytics
at Carnegie Mellon University
Eligibility criteria
- A bachelor’s degree in civil engineering or a related field
- Relevant work experience
- A proficiency in mathematical concepts
- Proficiency in Python or other programming languages
Conditional Offer
- Yes
- The Universities' Heinz College occasionally admit students to the program with condition(s) placed on their enrollment. A condition will be clearly stated within the admission offer letter.
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Certificate in AI Engineering - Digital Twins & Analytics at Carnegie Mellon University Contact Information
Certificate in AI Engineering - Digital Twins & Analytics
at Carnegie Mellon University
Address
5000 Forbes Ave, Pittsburgh, PA 15213, USA
Pittsburgh ( Pennsylvania)
Phone
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