course | Artificial Intelligence and Future Foresight in Engineering
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DIGTR-453 | Artificial Intelligence and Future Foresight in Engineering
Course Sector : Digital Transformation and Innovation
| Duration | Date from | Date to | Course Venue | Course fees | Book a course |
|---|---|---|---|---|---|
| 5 Days | 2025-04-07 | 2025-04-11 | London | $4,950 | Book now |
| 5 Days | 2025-05-26 | 2025-05-30 | London | $4,950 | Book now |
| 5 Days | 2025-08-18 | 2025-08-22 | Online | $2,150 | Book now |
| 5 Days | 2025-11-24 | 2025-11-28 | Dubai | $4,250 | Book now |
Course Introduction
Artificial intelligence (AI) is increasingly finding its way into industrial and manufacturing contexts. There are even AIs being used to conduct high-frequency trading on the stock market. AIs have a great deal to offer the world of engineering. Some of the most exciting current and prospective uses of artificial intelligence are within the field of engineering. With the rapid evolution of technology, there will be an increased need for engineers to research, create and test AI systems.
Concepts of Artificial Intelligence
This training course is designed to provide participants with the various concepts of Artificial Intelligence like Machine Learning with Python, Deep Learning with TensorFlow, Artificial Neural Networks, Statistics, Data Science, SAS Advanced Analytics, Tableau Business Intelligence, Python and R programming, Build Chatbots with Watson Assistant, and MS Excel through hands-on projects. This course will also provide an overview of future foresight and the concepts that will help participants gain knowledge and skills in futures studies in a visionary and futures-oriented way.
Course objective
- Gain a comprehensive understanding of Artificial Intelligence in Engineering and future foresight concepts.
- Recognize the efficient designs of machine learning systems.
- Build Artificial Neural Networks and Statistical Models
- Know and apply Deep Learning techniques and working with TensorFlow
- Learn the benefits of systematic futures thinking
- Understand the basic futures studies methodologies
Course Outline | Day 01
Introduction to the Artificial Intelligence domain
- How Data science and Artificial Intelligence overlap
- Importance of Python coding for data analytics
Course Outline | Day 02
The efficient design of Machine Learning systems
- SAS tool for data analytics, modeling and visualization
- Working with Tableau interactive dashboard and reports
Course Outline | Day 03
MS Excel calculations, tables and formulae
- R Statistical computing for Data Science
- Building of Artificial Neural Networks and Statistical Models
Course Outline | Day 04
Deep Learning techniques and working with TensorFlow
- Origins and development of futures thinking
- Role of foresight in today’s world
Course Outline | Day 05
Key concepts of foresight
- Scenario planning, horizon scanning, megatrends, weak signals and wild cards
- Ethics of foresight
- How to apply foresight methods in our work
BOOST’s Professional Attendance Certificate “BPAC”
BPAC is always given to the delegates after completing the training course,and depends on their attendance of the program at a rate of no less than 80%,besides their active participation and engagement during the program sessions.
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