ABOUT ARTIFICIAL INTELLIGENCE SOFTWARE DEVELOPER

Artificial intelligence (AI) is training a computer to simulate human intelligence.

COURSE OVERVIEW

Artificial Intelligent offers a promising future, studying this qualification will enable students to teach the machine to solve problems the way a human would using programming. Students learn to create, test and deploy code, allowing students to craft technologies that are integrated into how humans would normally act. Gain knowledge of the field of artificial intelligence, its definition and potential applications, as well as the value of AI to society and business, through this qualification.

PROGRAMME TITLE: OCCUPATIONAL CERTIFICATE – ARTIFICIAL INTELLIGENCE SOFTWARE DEVELOPER
NQF 5
SAQA ID 118792
CREDITS 209

ADMISSION REQUIREMENTS
NQF Level 4 qualification.

CERTIFICATION AND EXAMINATION

On successful completion of the programme, the student will receive a statement of result from Angie Technologies and upon meeting the EISA requirements, receive an Occupational Certificate: Artificial Intelligence Software Developer from the QCTO.

EISA is a single, national assessment which leads to competent learners being awarded Occupational Certificates. It is an integral and critical component of QCTO’s quality assurance system, as it ensures that the assessment of occupational qualifications, part-qualifications and trades is standardised, consistent and credible. Qualifying for External Assessment: To qualify for an external assessment, learners must provide proof of completion of all required knowledge and practical modules by means of statements of results and a record of completed work experience.

DURATION
2 YEARS FULL TIME

STUDY MATERIALS
Prescribed textbook lists will be provided by the academic office. Students will receive electronic versions of the study guides for this programme. Study material is also available online on the learner management system, Moodle.

PRICING
Enquire at the Institution for a current programme pricelist.

COURSE OUTLINE

Knowledge Modules

  • Overview of Artificial Intelligence 
  • Introduction to Mathematics and Statistics 
  • Analytical Thinking and Problem Solving 
  • Data, Databases and Data Visualisation 
  • Computing Theory 
  • Introduction to Artificial Intelligence, Machine Learning, Deep Learning
  • Introduction to Governance, Legislation and Ethics
  • Fundamentals of Design Thinking and Innovation 
  • 4IR and Future Skills 
  • Artificial Intelligence 
  • Machine Learning
  • Deep Learning 

Practical Modules

  • Mathematics and Statistics for Programming 
  • Problem Definition, Analytical Thinking and Decision-Making 
  • Access, Analyse and Visualise Structured Data Using Spreadsheets 
  • Use SQL to Communicate with a Database 
  • Build a simple AI solution using Python 
  • Use Python Data Scraping to Populate Database Table in SQL  
  • Use Machine Learning to Build an AI solution in Python 
  • Use Deep Learning to Build an AI Neural Network Architecture in Python
  • Use Deep Learning to Build an AI Neural Network Architecture in TensorFlow 
  • Function Ethically and Effectively as a Member of a Multidisciplinary Team 
  • Participate in a Design Thinking for Innovation Workshop 

Work Experience Modules

  • AI Solution Design Interpretation and Development 
  • AI Solution Performance Testing 
  • AI Solution Deployment, Modification and Improvement 

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