Live online
Building with LLM APIs — 6–7 Oct 2026
Two days of Python against the OpenAI and Anthropic APIs: streaming, tool use, structured output, retrieval, evaluation and a bill you can predict.
When
6–7 Oct 2026
09:00–16:00 +0530 · 03:30–10:30 UTC
| When | How |
|---|---|
| Tuesday 6 Oct 2026 | 09:00–16:00 |
| Wednesday 7 Oct 2026 | 09:00–16:00 |
Where
Online
Asia/Colombo
About this course
Advanced
2 days · 12 hours
Two days of Python against the OpenAI and Anthropic APIs: streaming, tool use, structured output, retrieval, evaluation and a bill you can predict.
What you'll be able to do
- Call the OpenAI and Anthropic APIs from Python and stream a response into a user interface as it arrives.
- Read a response properly: content, stop reason, token usage and error types, and log what billing and debugging need.
- Return output against a JSON schema, validate it, and repair or reject what fails instead of passing it downstream.
- Implement a tool-use loop that defines tools, executes calls, returns results and copes with the wrong tool being chosen.
- Build a retrieval pipeline over a document set with chunking, an embedding model, a vector store, reranking and citations.
- Write an evaluation suite from real failures, combining deterministic assertions with a model-graded rubric, and run it in CI.
What's included
- Class recording, available for 12 months
- Course repository: Python and TypeScript examples, a retrieval pipeline and an evaluation harness
- Course workbook with each API pattern and the failure case that motivates it
- Evaluation set template and a cost and latency tracking sheet
- MyLearnPlus certificate of completion
- Instructor email support after the class for questions on your own implementation
- One free repeat of the same live class, terms shown on the booking page
