AI Essentials

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Estimated time8-10 hours
PrerequisitesNone, Data Driven Foundation recommended
Next stepsAI Foundation / AI for Business, Growth

Step into the wonderful world of Artificial Intelligence (AI).  This learning journey takes you through the technology and techniques that lie behind smart applications such as expert systems and image recognition.  We explain what AI is, addressing basic techniques such as Data Analytics, Machine Learning and Deep Learning and cover application areas such numerical models, classification, chatbots, voice and recognition, natural language processing and expert systems.

In this journey, we assume the participant has a starting knowledge of data equivalent to “Data Driven Business I – Foundation”.  You can follow this journey first however and fill in your knowledge gaps with the data driven business journey later.

This learning journey is accredited to the BCS Essentials level – see course materials for more info.  The journey prepares you of the exam which you can take via Exin (contact us for more information).

Following on from this journey, you can progress to the AI Foundation or Cognitive Augmentation journey or consider the Data Driven Business Leadership journey which focuses on how to integrate data and Ai capabilities into your business model.

The learning objectives are:

  • Understand why Data, Data Science and Artificial Intelligence are vital for your future
  • Explore what Data Science and Artificial Intelligence are and how they create disruptive change
  • Learn what algorithms and machine learning are and how these are used
  • Become aware of the key risks and dilemma’s and what measures you can take to mitigate these
  • Understand the Human Centric Ethical Purpose direction of the EU Ethical Guidelines
  • Learn how to get started with an application area

EXIN BCS Accreditation Documents and Course Guidelines

Suggested Reading

  • Human + Machine - Reimagining Work in the Age of AI
    Paul R. Daugherty and H. James Wilson,
    Harvard Business Review Press Publication Date: 2018
    ISBN: 1633693869.
  • Ethics Guidelines for Trustworthy AI - download
    High-Level Expert Group on Artificial Intelligence, 2019
  • The Fourth Industrial Revolution - download
    Klaus Schwab, World Economic Forum, 2016
  • Artificial Intelligence, A Modern Approach (3rd edition)
    Stuart Russell and Peter Norvig,  2016
    ISBN 10: 1292153962
  • Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
    Aurélien Géron, O’Reilly 2017
    ISBN 1491962291

Course Content

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Introduction to Artificial Intelligence
Robots and Artificial Intelligence
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Using models to predict the future
From Machine Learning to Deep Learning
My first AI model
Ethics, Risks and Challenges
Human and Machine Coexistence
The Future developments of AI
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Summary and next steps
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