Prompt Engineering: Build AI Apps with Python

Mastering prompt engineering goes far beyond writing clever instructions in a web chat interface; it requires building predictable, secure, and production-ready systems that integrate seamlessly with software backends. In this practical course, 'Prompt Engineering: Build AI Apps with Python,' industry instructor Scott Barrett guides developers through the actual mechanics of engineering prompts within a Python environment. Learners transition from basic API connections to building enterprise-grade applications, focusing heavily on reliable structured outputs like parseable JSON. Throughout the curriculum, you will master advanced integration patterns, including context window management, token cost optimization via tiktoken, and resilient error-handling routines like exponential backoff. The course shines in its hands-on approach, walking you through the complete development of three distinct applications: a dynamic Research Assistant, a resilient Production Support Bot, and an advanced Multi-Tool Agent utilizing function calling to execute external database queries. This course is highly recommended for Python developers and software engineers looking to bridge the gap between artificial intelligence concepts and robust, production-level code.