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Artificial Intelligence

AI Foundations

Understand how AI actually works — without writing a single line of code. Master large language models, prompt engineering, AI ethics, real-world use cases, and how to put AI to work in your business today. Includes POPIA compliance, South African business context, and lifetime access.

signal_cellular_altBeginner layers8 modules list42 lessons schedule12.0 hours all_inclusiveLifetime access

Course Curriculum

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What is a Large Language Model?
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Training, tokens, and context windows explained
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Why AI "hallucinates" — and what to do about it
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Determinism vs probability: why answers change
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The AI landscape: Claude, GPT, Gemini, local models
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Module 1 Project: AI Model Comparison Exercise
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What makes a good prompt vs a bad one
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Role, task, context, format — the four pillars
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Few-shot prompting with examples
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Chain-of-thought: getting AI to reason step-by-step
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System prompts and AI personas
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Module 2 Project: Build a reusable prompt library
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Tree-of-thought and multi-step reasoning
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Structured output: JSON, tables, and templates
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Negative prompting — what not to do
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Iterative refinement and prompt debugging
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Module 3 Project: Prompt chain for a business workflow
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Claude 3/4: strengths, weaknesses, pricing
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GPT-4o and OpenAI ecosystem overview
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Gemini, Grok, and alternatives
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Open-source models: Llama, Mistral, local AI
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Module 4 Project: Model selection framework
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Content creation and marketing automation
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Customer service and chatbot design
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Data analysis, summarisation, and reporting
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Code assistance and developer productivity
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AI in finance, legal, and healthcare (SA context)
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Module 5 Project: Map AI to your own workflow
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How bias enters AI models
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Deepfakes, misinformation, and detection
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POPIA and AI data processing in South Africa
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Responsible deployment and human oversight
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Module 6 Project: AI Ethics Audit for a Use Case
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What is a workflow and how to map one
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Automating with no-code AI tools
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Connecting AI to your existing apps
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Human-in-the-loop: where to keep control
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Module 7 Project: Design a full AI workflow
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Auditing your organisation's AI readiness
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Building an AI adoption roadmap
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Measuring AI ROI and outcomes
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Final Project: Present Your AI Strategy
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