Build a text classifier that hits 90%+ accuracy using only prompt engineering. Learn zero-shot, one-shot, and few-shot prompting with hands-on Python examples.
Master prompt engineering basics with Python. Learn the Role-Task-Format framework, zero-shot prompting, and build a testing harness that measures prompt accuracy.
Master the OpenAI Batch API in Python: build a reusable pipeline for 10,000+ prompts at 50% cost with JSONL formatting, progress polling, and error...
Stream LLM tokens from OpenAI, Claude, and Gemini in Python using SSE and async generators. Includes FastAPI server, backpressure handling, and runnable code.
Learn LLM structured output in Python with 3 methods: OpenAI JSON schema, Claude tool extraction, and Instructor. Build a type-safe invoice parser with Pydantic.
Learn OpenAI function calling in Python with 3 working tools. Build the tool-use loop, handle parallel calls, and design schemas using raw HTTP requests.
Master the OpenAI API in Python with raw HTTP requests. Learn chat completions, streaming, parameters, error handling, retries, and cost tracking with runnable examples.
Learn to call OpenAI, Claude, and Gemini APIs from Python in 15 minutes. Includes code examples, error handling, streaming, and a unified wrapper.
Start using the OpenAI API Python SDK today. Build your first LLM-powered app with runnable code for chat completions, streaming, and token management.
Apply prompt engineering fundamentals — zero-shot, few-shot, chain-of-thought, and structured output — to get consistent, reliable results from any LLM.
Build a Python AI chatbot with conversation memory that actually remembers. Raw HTTP tutorial with streaming, 3 hands-on exercises, and complete code you can...
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