Lessons and outlineLesson 1 of 11
AI Concepts in PicturesLesson 1
The Big Map of AI: Six Layers
A single map that shows where every AI idea fits, and how to use it to find what to fix.
AI ideas sit on six layers: the model, teaching it, senses, action, safety and running it. Think of building a new employee. When something goes wrong, ask which layer is weak, and fix that one.
- Layer
- One level of the AI stack, such as the model or the safety checks.
- Model
- The AI brain that reads text and predicts what comes next.
- Stack
- All the layers that together make an AI product.
Place each idea on its layer of the map.
Tokens and attention.
Search your documents before answering.
Reading a photo of a receipt.
Calling a calendar tool.
Blocking harmful replies.
Choosing a small model to save cost.
AI can feel like a pile of buzzwords. Tokens. RAG. Agents. MCP. Fine-tuning. Guardrails. It is easier when you see where each word lives. This course gives you a map. Every idea sits on one of six layers. Once you know the layers, you can place any new term in seconds. This first lesson shows the whole map.
The six layers
- Layer 1, the model: the brain. It reads text and predicts what comes next.
- Layer 2, teach it your way: prompts, your documents and extra training.
- Layer 3, give it senses: text, pictures, voice and video.
- Layer 4, let it act: tools, plugs between systems and agents.
- Layer 5, keep it honest and safe: tests, checks and human review.
- Layer 6, run it for real: which model, where it runs and what it costs.
Think of building a new employee. First you hire a smart person, the model. You train them on your way of working. You give them eyes and ears. You give them tools and a role. You check their work. Then you decide how to run the team and pay for it.
What lives on each layer
LAYER 1 THE MODEL tokens, attention, context window, training, fine-tuning, LoRA, distillation LAYER 2 TEACH IT prompts, context, RAG (search your documents), skills, fine-tuning LAYER 3 SENSES text, images, voice, video LAYER 4 ACT tools, function calling, MCP, A2A, agents, computer use LAYER 5 KEEP IT HONEST evals, guardrails, red teaming, tracing, human review LAYER 6 RUN IT open or closed models, small and local models, cost, caching
How to use the map when something goes wrong
Most AI problems have one layer behind them. Ask which layer is weak. Then fix that layer, not all of them.
- The answer has wrong facts. Layer 2: give it your documents, or better instructions.
- It cannot read an image or a voice note. Layer 3: use a model that can.
- It knows the answer but cannot do the job. Layer 4: give it a tool.
- It does harmful or silly things. Layer 5: add checks and limits.
- It is too slow or too costly. Layer 6: pick a smaller model, or cache.
- It reasons badly on hard problems. Layer 1: use a stronger model or let it think longer.
A real product on the map
Take a bank chatbot. The model is the brain. The bank's rules and help pages are layer 2. It may read a photo of a cheque, which is layer 3. It can look up a balance with a tool, which is layer 4. Layer 5 stops it from giving advice it should not give. Layer 6 decides which model runs it and what each chat costs. Every product is a stack like this.
About this course
Each lesson covers one layer, with a picture. You do not need to code. You only need curiosity. The big map is also on its own page, with every idea linked to a lesson.
- ✓AI ideas sit on six layers: the model, teaching it, senses, action, safety and running it.
- ✓Think of building a new employee: hire, train, equip, give tools, check and manage.
- ✓When something goes wrong, ask which layer is weak and fix that layer.
- ✓Any AI product is a stack of these layers.
Map a product you use
- Pick an AI product you know, such as a chatbot or a voice assistant.
- Write one line for each of the six layers: what does it do there?
- Mark the layer you think is weakest, and say why.
- Write one fix for that weak layer.
Q1A support bot invents a refund policy. Which layer would you look at first?show answer
Layer 2 and layer 5. Give it the real policy to read, and add a check that blocks answers that are not in the policy.
Q2What is the difference between layer 4 and layer 5?show answer
Layer 4 lets the AI do things, like call a tool. Layer 5 checks and limits what it does.
Q3Why use a map at all?show answer
It lets you place any new term fast and find which layer to fix.