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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 […]

Updated February 3, 2023

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.

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What Will You Learn?

  • The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science
  • What AI realistically can--and cannot--do
  • How to spot opportunities to apply AI to problems in your own organization
  • What it feels like to build machine learning and data science projects
  • How to work with an AI team and build an AI strategy in your company
  • How to navigate ethical and societal discussions surrounding AI
  • List the Major Branches of Artificial Intelligence that exist today.
  • Perceive the application of Artificial Intelligence examples in real life.
  • Choose from the wide range of career options available in Artificial Intelligence.
  • Recount the advantages and disadvantages of Artificial Intelligence.
  • Ideate a project work for practicing Artificial Intelligence.

Course Content

MODULE ( 1 )

  • 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

MODULE ( 2 )

MODULE ( 3 )

MODULE ( 4 )

MODULE ( 5 )

MODULE ( 6 )

MODULE ( 7 )

MODULE ( 8 )

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Artificial intelligence: What the C-suite needs to know
$1,500.00
Level
Beginner
Enrolled
0
Duration 30 hours
Lectures
107 Lessons

Material Includes

  • After passing the related Bootcamp requirements ( Exam, or Research, Capstone project ) attendees will be qualified to get Certification of achievements : Global Certified Executive in AI ( GCE | AI )
  • Training Materials in PDF format

Requirements

  • N/A

Audience

  • Executives, CXOs, Managers, Technologists and Students
  • Any one interested in understanding and applying these technologies for business use
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