All learning paths
Course outline
Beginner
Start from zero and learn the durable AI/LLM foundations, tools, prompting, and model-selection skills
4-5 weeks
Self-paced
31
Lessons
5
Modules
1
Foundations
6 lessons
1What does it take for a computer to work with language?
18 min
2How does a computer learn from examples?
20 min
3What does a neural network add?
20 min
4How can numbers represent words?
20 min
5Why did language models adopt attention?
20 min
6How do models, assistants, and AI applications fit together?
18 min
2
AI Fundamentals
7 lessons
1What is a large language model actually doing?
20 min
2What changes when a language model learns?
22 min
3Why does an assistant lose track of a long conversation?
20 min
4How do you ask for something you can check?
20 min
5How do you steer a conversation without losing the task?
20 min
6Which model is good enough for your task?
22 min
7Make one model request and inspect what happened
25 min
3
Prompt Mastery
6 lessons
1Improve a prompt by testing one change
22 min
2When is showing an example better than adding a rule?
22 min
3How can you ask for reasoning you can verify?
22 min
4Choose a prompt pattern by the failure it solves
22 min
5Build a prompt library that earns its place
35 min
6Which instructions should an assistant follow?
22 min
4
No-Code AI Tools
5 lessons
5
Real-World AI Tools
7 lessons
1Research with source notebooks
25 min
2Use a coding assistant without losing control of the code
25 min
3How do you judge an app built from a description?
25 min
4When does an assistant become an agent?
22 min
5How do you keep up with AI without chasing every release?
22 min
6Explore five small AI tools through one working pattern
30 min
7What makes a model demo into a usable application?
30 min