Artificial Intelligence and Future Foresight in Engineering
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INTRODUCTION
Artificial intelligence (AI) is increasingly finding its way into industrial and manufacturing contexts. This course covers AI concepts such as Machine Learning with Python, Deep Learning with TensorFlow, Artificial Neural Networks, Statistics, Data Science, Advanced Analytics for SAS, Tableau Business Intelligence, Python and R Programming, Building Chatbots with Watson Assistant, MS Excel through hands-in projects, and a look-alike overview.
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COURSE OBJECTIVES
By the end of the course, you‘ll be able to:
- Understand of artificial intelligence in engineering
- Understand of future foresight concepts
- Understand basic prospective studies methodologies
- Build artificial neural networks and statistical models
- Learn about effective designs of machine learning systems
- Learn about deep learning techniques
- Work with TensorFlow
- Learn the benefits of systematic forward thinking
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COURSE AUDIENCE
This course is made for
- Business Men
- Business Unit Managers
- Business Development consultants
- Marketing Consultants
- Marketing Development Managers
- General Managers
- Leaders
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COURSE OUTLINE
Day One
- Introduction to AI
- Data science and Artificial Intelligence overlap
- Python coding for data analytics
Day Two
- Design of Machine Learning systems
- SAS Tool
- Tableau
- Reports
Day Three
- MS Excel
- R Statistical computing for Data Science
- Building of Artificial Neural Networks and Statistical Models
Day Four
- Deep Learning Techniques
- TensorFlow
- The origins and development of forward thinking
- The role of insight in today’s world
Day Five
- Concepts
- Scenario planning
- Horizon scanning
- Megatrends
- Weak signals and wild cards
- Foresight Ethics
- Foresight Methods
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