IProgram
AI Foundations
The working vocabulary of modern machine intelligence.
- 101Course
The History of AI
Seventy years of promises, winters, and revivals.
21 lessons·FoundationOriginsSymbolic AI and Expert SystemsStatistical learningThe deep-learning revolutionThe foundation-model era - 102Course
How LLMs Work
The mechanism, in institutional detail.
31 lessons·FoundationTokens and representationsThe transformer blockTrainingInferenceWhat models can and cannot do - 103Course
Prompt Engineering
The applied craft.
14 lessons·FoundationThe techniquesStructured promptsDiscipline - 104Course
Retrieval-Augmented Generation
The pattern that made LLMs useful.
13 lessons·FoundationThe patternRetrieval infrastructureRetrieval pipelines - 105Course
Agents
Systems that plan, remember, and act.
13 lessons·FoundationThe patternMulti-agent and long-horizonFrameworks and reality - 106Course
AI APIs
The commercial and open interfaces.
14 lessons·FoundationThe frontier providersAggregators and open modelsWorking with APIs - 107Course
Local AI and Local Models
Running intelligence on your own hardware.
11 lessons·FoundationWhy localQuantizationInference engines - 108Course
AI Productivity
AI as personal infrastructure.
8 lessons·FoundationKnowledge workDiscipline - 109Course
AI-Assisted Coding
The dominant early professional use.
5 lessons·FoundationThe habitTeam norms - 110Course
Workflow Automation
AI as a business process.
5 lessons·FoundationChoosing what to automateDesigning the workflow - 111Course
Research with AI
How to use AI as a research assistant.
4 lessons·FoundationThe habitsA research assistant, well used - 112Course
AI in Business — Foundations
The operating decisions.
5 lessons·FoundationThe decisionsThe economics