Primary tabs

Artificial Intelligence (AI) Masterclass
It is clear that artificial intelligence (AI) and machine learning (ML) will have a profound impact on almost all companies in years to come. The proliferation of Big Data, IOT and smartphones, and the ease of integration into open AI learning engines, have taken machine intelligence out of the domain of academia and made it one of the largest business opportunities for the foreseeable future. The impact of AI will be vast and profound and it will be felt across the entire value chain. Whatever the journey a company embarks upon, it is critical that all executives within a company should be exposed to the foundations behind AI and be exposed to the future business impact. The AI Master Class course has been created: to empower all executives to be able to make informed decisions about the benefits of AI within all areas of their organisations and to be able to understand the strategic implications of AI within a new digital ecosystem. This is the core premise of this short course.

Purpose of the course:

The training course is designed for: Executives who would like to obtain a deeper understanding of the contemporary digital and AI landscapes and who want to increase their strategic insight into the field of digital transformation; Managers who would like to make their current processes more efficient without having to dig too deep into the technology; Innovation and R&D executives who want to use AI to obtain a competitive advantage over their competitors; Strategy officers who would like to understand the implications of a transformative digital strategy with AI at its core; IT executives and HR managers who require an understanding of the skill-set change needed to harness new AI opportunities; Marketing managers who want to map the personality profiles of their target market via Big Data and AI, and create custom-fit digital advertising campaigns to target Markets-of-One; Sales managers and executives who would like to know how AI can provide them with better information on sales leads; Risk officers who would like to understand how AI can significantly reduce risk and fraud within an organisation.

Admission requirements:

Admission requirements: 
Participants must have completed management development programmes within the business and elsewhere for at least two years. A nomination and selection process is followed by the ‘Learning and Development Division’ in conjunction with line managers.
Learning assumed to be in place: 
To be selected for the AI Master Class, candidates must: Have a managerial position within the company; Have completed the induction programmes of the company; Show a willingness to manage in a changing technological environment.

Course outcomes and assessment criteria :

Course outcomes and the associated assessment criteria: 

Study Unit

Outcomes

Assessment Criteria

  After completion of this course, participants will: Participant will be assessed on the following criteria:
 
  • an integrated knowledge and understand of the overall context and history of AI and ML;
  • the integrative ability to develop a taxonomy of mathematical techniques and important information where AI or ML techniques are applicable or not;
  • the integrative ability to compare the applications of AI and ML;
  • the integrative ability to model the digital transformation journey that will enable executives to create a data-rich environment in which AI can thrive;
  • the integrative ability to create strategies and procedures in which AI can be used to make a meaningful difference to the organisation’s top and bottom line;
  • effective selection in discovering an application through a case study-driven overview of the various types of learning, training and model approaches used in AI;
  • an integrated knowledge and understanding of the key API and software tools and the pros and cons of each one; and
  • the integrative ability to compare the impact that AI will have on various areas within the value chain
  • apply critical thinking by comparing the differences and context of AI and ML.
  • develop an understanding of the different techniques by integrating that in the workplace.
  • Identify and critically analyse the core differences between AI and ML by assessing the two focus areas.
  • communicate and display knowledge and skills on the key elements by recommending solutions for implementation.
  • display an ability to develop and optimise the relevant strategies by articulating different scenarios.
  • integrate the learnings around AI and ML by managing and leading in all components of the enterprise.
  • introduce these tools and the impact they have on the ICT environment, particularly the telecommunication environment, by explaining the context to the other participants.
  • Work as part of a team between management and leadership by applying the outcomes in the workplace in a technologically advanced environment

 

Assessment: 
The assessment framework is built around the following: Self-assessment to embed the learning matter; Populating workbooks and study guides through group discussions and personal reflection; Peer-to-peer assessment is conducted in the contact sessions and is facilitated by the facilitator; Reflection is done to ensure an understanding of the knowledge areas that are covered; Course assignment reflecting the implementation of the learning matter.
Method of assessment: 
The subject experts and professionals presenting the different modules will facilitate the assessment and the assignment. The accreditation body will moderate the assignments and experts from industry and the final results will be submitted to the accreditation body for final approval and certification.

Additional information

Mode of delivery: 
Contact
Target group: 
Business executives including current and future decision makers and leaders within the organisation.
Contact us
Name: 
UCE-Info
E-mail: 
Telephone number: 
018 285 2325