Artificial Intelligence

The Artificial Intelligence Certification prepares learners to understand, design, develop, deploy, and manage AI solutions that solve real-world business and technology challenges. Learners will gain the knowledge and practical skills required to define AI problems, collect and prepare data, build and evaluate machine learning models, deploy AI applications, and monitor AI systems in production environments.

Through this certification, learners will develop analytical thinking, problem-solving abilities, data literacy, ethical AI awareness, and technical decision-making skills needed to participate in AI projects and support the responsible implementation of artificial intelligence solutions.

Course Overview

Artificial Intelligence is transforming industries by enabling organisations to automate processes, gain insights from data, and create innovative products and services. This programme is designed to provide learners with a strong foundation in AI concepts, methodologies, and best practices across the complete AI development lifecycle.

Learners will gain practical experience in AI problem definition, data collection and preparation, feature engineering, model development, algorithm selection, model evaluation, deployment planning, monitoring, and continuous improvement. They will also develop an understanding of AI governance, transparency, ethics, security, and risk management required for responsible AI implementation.

Course Overview

Duration

The programme combines classroom, practical, and workplace learning. Modules can be scheduled flexibly to meet learner and workplace requirements.

Delivery Method

The course can be delivered on-site at the learner’s business, at a training provider facility, or virtually. Accredited providers will supervise practical and workplace-based learning to meet all assessment and credit requirements.

Who Is This Course For?

Aspiring AI practitioners
Data and business analysts
Software and IT professionals
Technology enthusiasts
Students pursuing careers in AI and data science
Business professionals interested in AI solutions

Cost

R4 800.00 Per Learner

Exam Objectives

AI Problem Definition
1.1 Identify the Problem You Are Trying to Solve Using AI
1.2 Classify the Problem
1.3 Identify the Areas of Expertise Needed to Solve the Problem
1.4 Build a Security Plan
1.5 Ensure That AI Is Used Appropriately
1.6 Choose Transparency and Validation Activities

Data Collection, Processing, and Engineering
2.1 Choose the Way to Collect Data
2.2 Assess Data Quality
2.3 Ensure That Data Are Representative
2.4 Identify Resource Requirements
2.5 Convert Data into Suitable Formats
2.6 Select Features for the AI Model
2.7 Engage in Feature Engineering
2.8 Identify Training and Test Datasets
2.9 Document Data Decisions

AI Algorithms and Models
3.1 Consider Applicability of Specific Algorithms
3.2 Train a Model Using the Selected Algorithm
3.3 Select a Specific Model After Experimentation
3.4 Tell Data Stories
3.5 Evaluate Model Performance
3.6 Look for Potential Sources of Bias in the Algorithm
3.7 Evaluate Model Sensitivity
3.8 Confirm Adherence to Regulatory Requirements
3.9 Obtain Stakeholder Approval

Application Integration and Deployment
4.1 Train Customers on How to Use the Product and What to Expect
4.2 Plan to Address Potential Challenges of Models in Production
4.3 Design a Production Pipeline, Including Application Integration
4.4 Support the AI Solution
Maintaining and Monitoring AI in Production
5.1 Engage in Oversight
5.2 Assess Business Impact (Key Performance Indicators)
5.3 Measure Impacts on Individuals and Communities
5.4 Handle Feedback from Users
5.5 Consider Improvement or Decommissioning on a Regular Basis