Building AI
Move from understanding to making. Light Python recommended.
- 6 chapters · 18 sections
- Certificate on completion
- English and Nepali
Track
Hands-on courses for people who want to build, not just use. Light Python recommended. We work with Nepali datasets and the kind of small, useful systems that ship.
Courses in this track
Move from understanding to making. Light Python recommended.
The real, unglamorous core of building AI — getting data, cleaning it, understanding it, preparing it for models, and shipping it responsibly. Most builder time is spent here, not on the model.
Build the models you read about in Learning AI — for real this time. Classify SMS spam, predict Kathmandu rents, train and evaluate honestly. The clean data from Course 02 finally meets a model.
The modern maker's path — the course most learners will use to ship. Prompts in code, structured JSON output, memory across turns, embeddings, RAG, and a working Nepali AI assistant.
The operations side of AI. Deploy models behind an API, control cost, log and monitor, evaluate continuously, and roll out changes safely. The discipline that turns a demo into a product that serves real users at 3am.