Level 1 - AI Foundations - Applied AI School

About Course

Understand modern AI and learn to use it effectively. Four weeks, taught live, no coding required.

By the end of AI Foundations you should understand what modern AI systems can and cannot do, use them effectively across real tasks, identify valuable use cases and recognise the limitations and risks.

This is not simply a course on how to use ChatGPT or Claude. The objective is to build enough understanding of modern AI that you can make informed decisions about how and where to apply it and recognise when it is the wrong tool.

Taught live, with recordings available afterwards so an unreliable connection costs you the room rather than the class.

How modern AI actually works: tokens, context, training versus inference
Why hallucinations happen, and where model knowledge ends
Prompting as a repeatable skill rather than a collection of tricks
How to spot a valuable AI use case, and when conventional software is better
How to redesign a real process around AI, with human oversight in the right places
The risks that matter: bias, privacy, confidentiality, prompt injection, over-reliance

Course Content

Understanding Modern AI
- AI, machine learning and deep learning - Generative AI and foundation models - How LLMs work, conceptually — tokens, context, inference - Why hallucinations happen, and knowledge cut-offs Practical Explore the same tasks across several modern AI systems and start seeing the differences between models, interfaces and capabilities.

Understanding Modern AI

Working Effectively with AI
- Instructions, context and constraints - Zero-shot and few-shot prompting, structured outputs - Working with documents, images, tables and spreadsheets - Choosing the right tool, without becoming dependent on one Practical Take a difficult real-world task and develop a repeatable AI-assisted workflow for it.

Applying AI to Real Work
- What makes a good AI use case - Augmentation versus automation, and human-in-the-loop - When conventional software is the better answer - From single prompts to repeatable workflows Practical Identify a real process from your work, studies or business and redesign it using AI.

Responsible AI and Final Project
- Hallucination, bias, privacy and prompt injection - Copyright, confidentiality and data protection - Why fluent answers are not necessarily correct - Designing human review, and knowing when not to use AI Practical Design an AI-assisted solution to a real problem, covering the workflow, where human oversight belongs, the risks and how success is measured.

Student Ratings & Reviews

No Review Yet

Level 1 – AI Foundations

About Course

What Will You Learn?

Course Content

Understanding Modern AI

Working effectively with AI

Applying AI to Real Work

Responsible AI and Final Project