Artificial Intelligence Foundations

This foundation level introduces artificial intelligence without requiring previous programming experience and builds the confidence to use modern AI tools effectively and responsibly.

What You Will Learn

• Differences between AI, machine learning, deep learning, and generative AI.
• How LLMs work, including key capabilities and limitations.
• Prompt engineering and output improvement.
• Privacy, verification, hallucinations, and bias.
• AI for research, productivity, analysis, and content workflows.

Training Modules

• Data, models, training, and inference at an accessible level.
• Instructions, context, constraints, and examples.
• Structured outputs and prompt iteration.
• Multi-step AI workflows.

Practical Work

• Complete research, analysis, writing, and information tasks with AI.
• Compare, improve, and verify generated outputs.
• Design a workflow for a real problem.

Applied Project

Create an AI-powered workflow for a defined problem and document its inputs, process, and evaluation approach.

Expected Outcomes

• Select suitable AI tools for different tasks.
• Write effective prompts and improve outputs.
• Evaluate generated information critically.
• Design a reusable AI-assisted workflow.

Prerequisites

• No previous AI or programming experience is required.
• Basic computer literacy is sufficient.

Progression Requirement

Successful completion of this level and its project is required before Level 2.