Building with LLM APIs — 24–25 Nov 2026

කවදාද

24–25 Nov 2026

09:00–16:00 +0530 · 03:30–10:30 UTC

කොහේද

Asia/Colombo

මෙම පාඨමාලාව ගැන

Two days of Python against the OpenAI and Anthropic APIs: streaming, tool use, structured output, retrieval, evaluation and a bill you can predict.

ඔබට කළ හැකි වන දේ

• 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.

ඇතුළත් වන දේ

• 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