Intro
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Start with AI Foundations
Start from data, simple models, and how to read accuracy and bias without drowning in maths.
A friendly but serious introduction to data, models, and how AI systems work.
4h
Start here
Course overview
AI
Learn how data becomes models, predictions, and governed AI systems, from first principles through evaluation, transformers, and real deployment decisions.
Start at the top, move stage by stage, then use practice and stage tests when you want a stronger check.
Stage 1 of 3
AI Foundations
Start from data, simple models, and how to read accuracy and bias without drowning in maths.
A friendly but serious introduction to data, models, and how AI systems work.
M01
Module 1
What AI is and why it matters now
AI is a way of learning patterns from data so a system can make predictions, rank options, or automate decisions.
When people say AI, they often mean a system that takes input, applies a learned pattern, and produces an output.
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1h
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M02
Module 2
Data and representation
In AI, the word data sounds fancy, but it is usually boring.
I want you to feel this in your bones because it shows up everywhere.
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1h
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M03
Module 3
Supervised and unsupervised learning
When we say a model learns, we mean it changes its internal settings so it can make better guesses.
Glossary Tip.
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1h
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M04
Module 4
Responsible AI basics and limitations
AI systems can cause harm even when everybody is trying to do the right thing.
Glossary Tip.
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1h
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Practice
Practice test
AI Foundations practice test
Test recall and judgement against the governed stage question bank before you move on.
Use this after the stage modules when you want to spot weak areas without the pressure of a timed assessment. Includes 12 published questions.
Self-paced
Open practice
Test
Stage test
AI Foundations stage test
Use the untimed stage test when you want a stronger stage-end check and no governed timed route exists yet.
Built from the published stage question bank so you can self-check honestly before the next stage. Includes 12 questions.
Self-paced
Open stage test
Stage 2 of 3
AI Intermediate
Work with evaluation, features, embeddings, and practical model use without the buzzword fog.
How modern AI systems are built, evaluated, deployed, and monitored in real work.
Intro
Start here
Start with AI Intermediate
Work with evaluation, features, embeddings, and practical model use without the buzzword fog.
How modern AI systems are built, evaluated, deployed, and monitored in real work.
4h
Start here
M01
Module 1
Models, parameters and training dynamics
A model is still a function that turns input into output.
If you remember one sentence from this section, keep this one.
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48 min
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M02
Module 2
Data, features and representation
Raw data is rarely ready for a model.
My opinion is that if the feature definition is vague, the model will punish you later with confidence and nonsense.
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48 min
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M03
Module 3
Evaluation, metrics and failure analysis
Accuracy is an easy number to like because it feels clean.
Glossary Tip.
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48 min
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M04
Module 4
Deployment, monitoring and drift
Deployment is where good models go to die.
Check whether upstream systems or users are sending different formats, ranges, or missing fields.
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48 min
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M05
Module 5
Responsible AI, limits and deployment risks
AI systems do not understand intent or truth.
The work has shifted from crafting single prompts to designing systems that assemble the right context at the right time.
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48 min
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Practice
Practice test
AI Intermediate practice test
Test recall and judgement against the governed stage question bank before you move on.
Use this after the stage modules when you want to spot weak areas without the pressure of a timed assessment. Includes 12 published questions.
Self-paced
Open practice
Test
Stage test
AI Intermediate stage test
Use the untimed stage test when you want a stronger stage-end check and no governed timed route exists yet.
Built from the published stage question bank so you can self-check honestly before the next stage. Includes 12 questions.
Self-paced
Open stage test
Stage 3 of 3
AI Advanced
Transformers, agents, diffusion models, and how real AI systems are designed, governed, and sometimes misused.
Production AI systems, architecture decisions, and failure modes at scale.
Intro
Start here
Start with AI Advanced
Transformers, agents, diffusion models, and how real AI systems are designed, governed, and sometimes misused.
Production AI systems, architecture decisions, and failure modes at scale.
5h
Start here
M01
Module 1
AI systems and model architectures
A model is a component that maps inputs to outputs.
This is the one that causes expensive incidents with very confident postmortems.
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1.7h
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M02
Module 2
Scaling, cost and reliability in AI systems
Scaling is not a single knob.
Glossary Tip.
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1.7h
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M03
Module 3
Evaluation, monitoring and governance in production AI
Evaluation in production is not a single score.
Glossary Tip.
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1.7h
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Practice
Practice test
AI Advanced practice test
Test recall and judgement against the governed stage question bank before you move on.
Use this after the stage modules when you want to spot weak areas without the pressure of a timed assessment. Includes 12 published questions.
Self-paced
Open practice
Test
Stage test
AI Advanced stage test
Use the untimed stage test when you want a stronger stage-end check and no governed timed route exists yet.
Built from the published stage question bank so you can self-check honestly before the next stage. Includes 12 questions.
Self-paced
Open stage test