Artificial intelligence: What the C-suite needs to know
AI is not only for engineers. If you want your organization to become better at using AI, this is the Bootcamp to tell everyone–especially your non-technical colleagues–to take. Demystifying Artificial […]
About Course
AI is not only for engineers. If you want your organization to become better at using AI, this is the Bootcamp to tell everyone–especially your non-technical colleagues–to take.
Demystifying Artificial Intelligence including ML, DL, NLP, Industry 4.0, IoT & RPA with Caselets for CxOs and Senior Managers.
AI, AI, AI Everywhere! If you don’t do something about AI, you will be left behind or disrupted into extinction – this is a message that executives, Managers, Team Leaders and CXOs often hear, especially in the last year or so from consultants, vendors, industry experts or the IT organization. But why now?
Today, companies are faced with some compelling new choices, like robotic process automation (RPA), artificial intelligence (AI), machine learning (ML), blockchain and Industrial Internet of Things (IIoT), to name a few. Corporate Leaders have the daunting task of deciphering what these buzzwords mean, understanding what is relevant to their business and determining which technology to invest.
It’s important that Leaders have a foundational knowledge of digital transformation because they will rely on digital business to make their numbers. It will be hard for Leaders to lead digital initiatives if they don’t understand digital clearly. A lack of understanding can result in misdirection of efforts and painful experiences, and ultimately place the organizational transformation goals in jeopardy.
This course presents the concepts and technologies behind AI in a simple manner through examples and case studies. The course begins with an explanation of what is AI and uncovers the technology behind AI. A comparison of AI with other technologies like Big Data, RPA, Cloud and Industry 4.0 is also provided.
Course Content
MODULE ( 1 )
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Introduction to AI
00:00 -
History of Artificial Intelligence
00:00 -
Artificial Intelligence (AI) vs. Machine Learning (ML) vs. Deep Learning (DL)
00:00 -
AI Applications
00:00 -
AI Basics
00:00 -
The benefits of Artificial Intelligence
00:00 -
AI Academic Discipline
00:00 -
How do “they” create AI?
00:00 -
AI Algorithms
00:00 -
Careers in Artificial Intelligence
00:00 -
Future of Artificial Intelligence
00:00 -
What is Data Science
00:00 -
History of Data Science
00:00 -
Benefits of Data Science
00:00 -
Future of Data Science
00:00