Every tutorial builds toward a live project and AI literacy.
I work through the sources, build with what I learn, and write up what holds up. I'd like more people in India to become AI literate, and this is a small step toward that.
- 01
Gather
Courses, docs and papers I find useful.
- 02
Explain
Why it exists first, then how it works, in plain language.
- 03
Build
Each topic goes into a project I'm taking toward a live version.
AI Fluency: the 4Ds
Delegation, Description, Discernment, Diligence. The skills for working with any AI that outlast any single model or tool.
DelegationDescriptionDiscernmentDiligence Read the tutorial → FoundationsPython fundamentals for AI
The small set of Python ideas that almost every AI program is built from, ending in a direct model call.
f-stringsDictionariesLoopsClassesAPI call Read the tutorial → FoundationsWhat LLMs can do
The short list of text operations behind most language-model applications, and how they chain into an agent.
InferenceExtractionTranslationExpandingTemperature Read the tutorial → FoundationsPrompt engineering tactics
Nine prompting tactics that still hold, and why each matters.
DelimitersFew-shotStructured outputGrounding Read the tutorial →