Learn AI from people who ship it.

WHAT WE COVER

1. 01Models from code, with structured outputCalling APIs and local models; JSON you can trust.
2. 02Hybrid searchKeywords, meaning and dates together — as in Keepsound.
3. 03Agents and tools over MCPGiving agents memory and safe actions — as in Nexus RAG.
4. 04EvaluationBuild a test set, measure, compare two models honestly.
5. 05Cost and latency budgetsWhere the milliseconds and rupees actually go.
6. 06Private deploymentRunning it on your own hardware.

WHAT WE COVER

1. 01Python with real dataFrom first line to cleaning a messy spreadsheet.
2. 02Pandas and SQLThe data skills every AI job assumes.
3. 03Machine learning basicsTraining, testing and not fooling yourself.
4. 04Your first neural networkWhat is actually happening inside.
5. 05Using LLM APIs responsiblyBuilding a small AI feature, with a test set.
6. 06CapstoneA project you can explain in an interview.

WHAT WE COVER

1. 01AI in your subjectA faculty workshop, department by department.
2. 02A lab on modest hardwareWhat runs well on the computers you already have.
3. 03Assignments in the age of AITasks that still test real understanding.
4. 04Mentoring student projectsScoping, reviewing and grading AI projects.
5. 05Assessment and integrityFair rules students actually follow.